- Random - Mailing list — Dipartimento di Matematica, UniPI

Fwd: Tenure track and Postdoctoral positions at the University of British Columbia
by Faggionato, Alessandra 25 Oct '22

25 Oct '22

Buongiorno ricevo e con piacere inoltro. Buona giornata Alessandra ---------- Forwarded message --------- From: Omer Angel <angel(a)math.ubc.ca> Date: Tue, 25 Oct 2022 at 04:50 Subject: Tenure track and Postdoctoral positions at the University of British Columbia To: Alessandra Faggionato <faggiona(a)mat.uniroma1.it> Dear Alessandra, We would be grateful if you forward information about the positions below to any candidates who may be interested. ==================================================================== **Tenure track in Mathematics of Machine Learning and Artificial Intelligence**: The math department is seeking candidates for a tenure-track Assistant Professor position, to start July 2023. Applicats should hold a PhD or equivalent in mathematics or a related discipline. Postdoctoral experience is normally expected. The position is art of a new interdisciplinary research cluster on AI Methods for Scientific Impact (AIM-SI), within UBC's Centre for AI Decision-making and Action (CAIDA). CAIDA consists of over 100 researchers whose research leverages AI. We are looking for someone who is ready to build research collaborations - informal and formal - with other researchers in AIMS-SI, CAIDA, across the mathematical sciences and the university as a whole. ==================================================================== **Postdoctoral fellowships**: The probability group at UBC plans to hire postdoctoral fellows, to start in July 2023. This are 3-year positions with a relatively low teaching load. Applicants should have obtained a recent (normally no earlier than 2020) Ph.D. in Mathematics or a closely related discipline, or expect to complete one before the starting date. Candidates should demonstrate excellent potential in research and teaching. (Other groups often have postdoctoral positions as well - I do not speak for them.) ==================================================================== Review of applications for both positions will begin after November 15, 2022. Application is through mathjobs. The ads and full details may be seen at https://www.mathjobs.org/jobs/UBC We especially welcome applications from members of under-represented and/or marginalized groups, including women, people with disabilities, from racial minorities, LGBTQ+, and indigineous individuals. Please let me know if a different email address should be used. Please contact any of us for additional information: omer ------------------------------------------- Gordon Slade <slade(a)math.ubc.ca> Mathav Murugan <mathav(a)math.ubc.ca> Omer Angel <angel(a)math.ubc.ca> Jonathan Hermon <jonathan.hermon(a)gmail.com> -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

1 0

UNIBO Statistics Seminars: Davide Ferrari, Free University of Bolzano/Bozen
by Simone Giannerini 24 Oct '22

24 Oct '22

We are glad to announce the following Statistics Seminar: Friday, October 28, 11.30 a.m. Davide Ferrari (Free University of Bozen-Bolzano) Fast Construction of Optimal Composite Likelihoods Abstract A composite likelihood is a combination of low-dimensional likelihood objects useful in applications where the data have complex structure. Although composite likelihood construction is a crucial aspect influencing both computing and statistical properties of the resulting estimator, currently there does not seem to exist a universal rule to combine low-dimensional likelihood objects that is statistically justified and fast in execution. This paper develops a methodology to select and combine the most informative low-dimensional likelihoods from a large set of candidates while carrying out parameter estimation. The new procedure minimizes the distance between composite likelihood and full likelihood scores subject to a constraint representing the afforded computing cost. The selected composite likelihood is sparse in the sense that it contains a relatively small number of informative sub-likelihoods while the noisy terms are dropped. The resulting estimator is found to have asymptotic variance close to that of the minimum-variance estimator constructed using all the low-dimensional likelihoods. Preprint on Statistica Sinica https://www3.stat.sinica.edu.tw/ss_newpaper/SS-2021-0235_na.pdf Room 2, Piazza Scaravilli 2, Bologna Link for attending the event: Fai clic qui per partecipare alla riunione<https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjY4MjE4MDQtYmM3Mi00…> Contact person: Simone Giannerini _________________________________________________________________ PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A Theme issue ‘DNA as information<https://royalsocietypublishing.org/toc/rsta/374/2063>’ edited by Julyan H.E. Cartwright, Simone Giannerini and Diego L. González _________________________________________________________________ Simone Giannerini Dipartimento di Scienze Statistiche "Paolo Fortunati" Universita' di Bologna Via delle belle arti 41 - 40126 Bologna, ITALY Tel: +39 051 2098262 Fax: +39 051 232153 https://www.unibo.it/sitoweb/simone.giannerini/ ______________________________________________________ ________________________________

1 0

LUISS Math Seminars: Peter Bank, Thu 27 October
by Sara 21 Oct '22

21 Oct '22

Dear all, I am pleased to announce the upcoming seminar by Peter Bank, TU Berlin: https://economiaefinanza.luiss.it/seminar/2022/09/23/what-if-we-knew-what-f… The seminar will take place in Room 106 at 12pm, at the address below. You can also attend the seminar online, at the link: *Room 106:* https://luiss.webex.com/luiss/j.php?MTID=mc76ccac202efab1b18aea6a847fc1457 *User:* w_guest(a)luiss.it *Password: *ilLGhdI522Q Very best, Sara -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli https://www.luiss.it/ Address: Viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

1 0

I: Statistique mathématique: Post-Doc à Orsay
by Rita Giuliano 20 Oct '22

20 Oct '22

Inoltro per eventuali interessati Rita Giuliano ________________________________ ________________________________ De: "Yohann" <yohann.de-castro(a)ec-lyon.fr> À: icj(a)math.univ-lyon1.fr Envoyé: Mercredi 19 Octobre 2022 10:37:28 Objet: [icj] Post-Doc à Orsay Bonjour, J’ai le plaisir de vous faire part d'une annonce de post-doc à Orsay en statistique mathématique. Cordialement Yohann De Castro _______________________________________________ ICJ mailing list ICJ(a)math.univ-lyon1.fr https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=20221019085709100024…

1 0

Seminar: Catherine Matias 26 October: “Properties of the stochastic approximation EM algorithm”
by Fulvia Pennoni 20 Oct '22

20 Oct '22

Dear all, We are glad to invite you to the *seminar* that will take place on the *26th of October, at 14.30*, in presence in Room *Aula Seminari DiSMeQ 4026, building U7* Civitas, 4th floor, *University of Milano-Bicocca*, Via Bicocca degli Arcimboldi 8, 20126 Milano. *Catherine Matias* <http://cmatias.perso.math.cnrs.fr/>from *Centre National de la Recherche Scientifique (CNRS), Sorbonne University, Paris* will present a seminar on “*Properties of the stochastic approximation EM algorithm with the mini-batch sampling*” (see abstract below). The seminar is also available online at the following link: https://unimib.webex.com/unimib-it/j.php?MTID=m414dda85e475f906edae49b2a8ee… <https://unimib.webex.com/unimib-it/j.php?MTID=m414dda85e475f906edae49b2a8ee…> Passcode: NmEQKpfG535 (66375734 from phones) You are invited to forward the event to your students, PhDs and colleagues who may be interested in the Seminar. Kind Regards, Fulvia Pennoni On behalf of the Department of Statistics and Quantitative Methods /--------------/ *Speaker*: Catherine Matias from Centre National de la Recherche Scientifique (CNRS), Sorbonne University, Paris *Title*: /Properties of the stochastic approximation EM algorithm with the mini-batch sampling/ *Abstract*: To deal with very large datasets a mini-batch version of the Monte Carlo Markov Chain Stochastic Approximation Expectation–Maximization algorithm for general latent variable models is proposed. For exponential models the algo rithm is shown to be convergent under classical conditions as the number of iterations increases. Numerical experiments illustrate the performance of the mini-batch algorithm in various models. In particular, we highlight that mini-batch sampling results in an important speed-up of the convergence of the sequence of estimators generated by the algorithm. Moreover, insights on the effect of the mini-batch size on the limit distribution are presented. Finally, we illustrate how to use mini-batch sampling in practice to improve results when a constraint on the computing time is given. -- Fulvia Pennoni Ph.D. Dpt of Statistics and Quantitative Methods University of Milano-Bicocca

1 0

Open call - Research Fellow at University of Oslo
by Giulia Di Nunno 20 Oct '22

20 Oct '22

Dear All, Let me bring to your attention the following position as Research Fellow (postdoc 18 months) at the Department of Mathematics, University of Oslo: https://www.jobbnorge.no/en/available-jobs/job/233446/research-fellow-at-th… Deadline for application: October 30, 2022 The Research fellow is expect to work within the scope of STORM - Stochastics for Time-Space Risk Models. In particular the research work will focus on the development of the theory and the application of models non-necessarily Markovian suitable for the modelling of market date and associated risks. More details are given in the call. Please feel free to distribute this ad further. Best regards, Giulia Di Nunno Professor Department of Mathematics University of Oslo, Norway

1 0

Seminar - Raffaele Argiento - 20 Oct, 2:30 pm - Florence
by Monia Lupparelli 19 Oct '22

19 Oct '22

Dear Colleagues, the Department of Statistics, Computer Science, Application of University of Florence is glad to invite you to the following seminar: Raffaele Argiento (Università degli Studi Bergamo) Thursday 20 October 2022, 2:30 pm Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti”, room 205 Viale Morgagni, 59, Firenze Hierarchical normalized finite point process: predictive structure and clustering Abstract Almost surely discrete random probability measures have received close attention in the Bayesian nonparametric community. They have been used to model populations of individuals or latent parameters (in the mixture model setting) composed of unfixed species with unknown proportions. In this framework, data are usually assumed to be exchangeable. However, the latter assumption is not appropriate when data are divided in multiple groups which may share the same species. If so, partially exchangeability accommodates the dependence across populations. Best regards, Monia Lupparelli ----------------------------------------- Monia Lupparelli, PhD Department of Statistics, Computer Science, Applications University of Florence Viale Morgagni 59, 50134 Florence, IT Phone +39 055 2751579

1 0

Seminar: Erik Lindström 24 October: Feature Selection in Jump Models
by Fulvia Pennoni 19 Oct '22

19 Oct '22

Dear all, We are glad to invite you to the *seminar* that will take place on the *24th of October, at 14.30*, in presence in Room *Aula Seminari DiSMeQ 4026, building U7* Civitas, 4th floor, *University of Milano-Bicocca*, Via Bicocca degli Arcimboldi 8, 20126 Milano. *Erik Lindström <https://www.maths.lu.se/staff/erik-lindstroem/>*from *Lund University* will present a seminar on “*Feature Selection in Jump Models*” (see abstract below). The seminar is also available online at the following link: https://unimib.webex.com/unimib/j.php?MTID=m7d32c71febb43ee95aabde1ca5428861 You are invited to forward the event to your students, PhDs and colleagues who may be interested in the Seminar. Kind Regards, Fulvia Pennoni On behalf of the Department of Statistics and Quantitative Methods /--------------/ *Speaker*: Erik Lindström from Lund University *Title*: /Feature Selection in Jump Models/ *Abstract*: Hidden Markov models are a popular choice for inferring the hidden state of financial markets as the states often are interpreted as market regimes. This interpretation implicitly assumes that the underlying state sequence has a certain level of persistence. However, when a hidden Markov model is misspecified or misestimated, it often leads to unrealistically rapid switching dynamics. We propose a novel estimation approach based on clustering temporal features while penalizing jumps. The advantages of the proposed jump estimator include that it learns the hidden state sequence and model parameters simultaneously while providing control over the transition rate, it is less sensitive to initialization, it performs better when the number of states increases, and it is robust to misspecified conditional distributions. In addition, feature selection is necessary in high-dimensional settings where the number of features is large compared to the number of observations and the underlying states differ only with respect to a subset of the features. We develop and implement a coordinate descent algorithm that alternates between selecting the features and estimating the model parameters and state sequence, which scales to large data sets with large numbers of (noisy) features. We demonstrate the usefulness of the proposed framework by comparing it with a number of other methods on both simulated and real data in the form of financial returns, protein sequences, and text. The resulting sparse jump model outperforms all other methods considered and is remarkably robust to noise. -- Fulvia Pennoni Ph.D. Dpt of Statistics and Quantitative Methods University of Milano-Bicocca

1 0

Mathematical Methods for Climate: Link to Minicourse by D. Faranda
by Francesco Grotto 18 Oct '22

18 Oct '22

Good afternoon, you can find below the link for the second part of the minicourse by D. Faranda; the lecture is slightly delayed due to technical issues. Best FG https://cnrs.zoom.us/j/92979982747?pwd=UVF1QkJqOXdjWVBrc2V6M2tMck54QT09

1 0

Seminar by René Aid (Paris Dauphine) in Padova (hybrid mode)
by Giorgia Callegaro 18 Oct '22

18 Oct '22

Dear all, you're invited to the next seminar in Probability and Finance, that will take place on Friday 28th October, at 11.30, in hybrid mode at the Mathematics Department of the University of Padova. More details: * *Speaker*: *René A**ïd (Paris Dauphine)* * *Date and time*: 28th October 2022, 11.30 * *Room (Torre Archimede)*: 2BC30 * *Zoom link*: please find it at https://www.math.unipd.it/~bianchi/seminari/ * *Title*: *A model of optimal incentives for renewable investments* * *Abstract*: We analyze the optimal regulatory incentives to foster the development of non-emissive electricity generation when the demand for power is served either by a monopoly or by two competing firms. The regulator wishes to encourage renewable investments to limit carbon emissions, while simultaneously reducing intermittency of the total energy production. We provide the expression of the optimal contract for each market structure. We show how the market structure affects the complexity of the optimal incentive mechanism. A joint work with Annika Kemper and Nizar Touzi. See you soon, thanks, Giorgia Callegaro -- Giorgia Callegaro Associate Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

1 0

Seminar Marinucci @Bocconi - 21st Oct at 12:00
by Giacomo Zanella 18 Oct '22

18 Oct '22

We are glad to announce the following hybrid seminar: Thursday, 21st October 2022 12:00, Room AS01 + Zoom Bocconi University, Via Roentgen 1, floor -1 Speaker: Domenico Marinucci (Università di Roma Tor Vergata) Title: Asymptotics for Spherical Functional Autoregressions Abstract: In this talk, we investigate a class of spherical functional autoregressive processes, and we discuss the estimation of the corresponding autoregressive kernels. In particular, we first establish a consistency result (in sup and mean-square norm), then a quantitative central limit theorem (in Wasserstein distance), and finally a weak convergence result, under more restrictive regularity conditions. We shall also hint at possible extensions, in particular nonparametric testing for stationarity, isotropy and Gaussianity. Based on joint works with Alessia Caponera and Anna Vidotto. Zoom information: link: https://unibocconi-it.zoom.us/j/92683143026?pwd=Q3plSDVPRzAvcjhQUllBemNPVjV… Meeting ID: 926 8314 3026 Passcode: 123456 Best regards, Giacomo Zanella

1 1

Mathematical Methods for Climate Science: Minicourse and Seminar by D. Faranda in Pisa
by Francesco Grotto 17 Oct '22

17 Oct '22

Dear colleagues, in the context of the project "Metodi matematici per la scienza del clima" at Dipartimento di Matematica in Pisa, D. Faranda (LSCE laboratory, Paris Saclay) will be giving: -a minicourse, "Understanding, researching and telling the story of climate extreme events" on 17-18th November at Dipartimento di Matematica, - a seminar, "Atmospheric circulation compounds anthropogenic warming and its impacts in Europe", on 19th November at Scuola Normale Superiore. All the information can be found at the following link: https://clima.dm.unipi.it/2022/10/12/minicourse-and-seminar-by-d-faranda-ls… Best Francesco Grotto

1 2

Seminar in Statistics - MARIE KRATZ
by Pierpaolo De Blasi 14 Oct '22

14 Oct '22

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 21 Ottobre 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Marie Kratz* (ESSEC Business School, CREAR risk research center) Title: *Pro-Cyclicality Beyond Business Cycles: The Case of Traditional Risk Measurements* Abstract: There is an accepted idea that risk measurements are pro-cyclical: in times of crisis, they overestimate the future risk, while they underestimate it in quiet times. We lay down a simple and efficient methodology to evaluate the amount of pro-cyclicality in the way financial institutions measure risk. To do so, we introduce a new indicator based on the Sample Quantile Process (a dynamic extension of Value-at-Risk), conditioned on realized volatility. Using this framework, we prove that pro-cyclicality is inherent in risk measure estimates based on historical data. We identify two main factors explaining this pro-cyclical behavior: the clustering and return-to-the-mean of volatility, as it could have been anticipated but not yet quantified, and, more surprisingly, the very way risk is measured, even in a world with constant volatility, though the empirical magnitude of the mean-reversion is greater than what would be observed in that special case. We develop CLTs and FCLT’s for functionals of quantile and dispersion estimators to support theoretically those empirical findings. This is a joint work with Dr. Marcel Bräutigam and Dr. Michel Dacorogna. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/85751895656?pwd=dTBiQTAzd3BoODRoZmQzMlZWTDZIQT09> Meeting ID: 857 5189 5656 Passcode: 166674 Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats -- Pierpaolo De Blasi University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

1 0

Roxana Dumitrescu's talk, Milan 19/10/22
by Luciano Campi 14 Oct '22

14 Oct '22

Dear all I am happy to announce the following seminar by Roxana Dumitrescu (King’s College London), you’ll find details on date and venue below the abstract Title: Control and stopping mean-field games: the linear programming approach Abstract: In this talk, we present recent results on the linear programming approach to mean-field games in a general setting. This relaxed control approach allows to prove existence results under weak assumptions, and lends itself well to numerical implementation. We consider mean-field game problems where the representative agent chooses both the optimal control and the optimal time to exit the game, where the instantaneous reward function and the coefficients of the state process may depend on the distribution of the other agents. Furthermore, we establish the equivalence between mean-field games equilibria obtained by the linear programming approach and the ones obtained via other approaches used in the previous literature. We then present a fictious play algorithm to approximate the mean-field game population dynamics in the context of the linear programming approach. Finally, we give an application of the theoretical and numerical contributions introduced in the first part of the talk to an entry-exit game in electricity markets. The talk is based on several works, joint with R. Aïd, G. Bouveret, M. Leutscher and P. Tankov. Date and time: 19 October 2022, 11am Venue: Sala di Rappresentanza, Departimento di Matematica, Università degli Studi di Milano, Via Saldini 50, 20133 Milano. You are all welcome to attend All the best Luciano -------------------------------------------------------- Luciano Campi Full Professor University of Milan Department of Mathematics Email: luciano.campi(a)unimi.it Web: sites.google.com/site/lucianocampi1

1 0

4 Post-Doc positions in Luxembourg
by Giovanni Peccati 14 Oct '22

14 Oct '22

Dear Colleagues, *four post-docs positions* in the domain of* Mathematical Statistics and related fields* are currently open at the *Department of Mathematics of Luxembourg University*. All details can be found here: https://tinyurl.com/LuxembourgStat With my best regards, Giovanni Peccati -- Prof. Giovanni Peccati ------------------------------------------ Head of the Department of Mathematics Faculty of Science, Technology and Medicine ------------------------------------------ University of Luxembourg ----------------------------------------- homepage: http://sites.google.com/site/giovannipeccati/home E-mail: giovanni.peccati(a)gmail.com

1 0

SAVE THE DATES: 11th General AMaMeF Conference & Summer School in Bielefeld
by Ferrari, Giorgio 14 Oct '22

14 Oct '22

Dear All, We are pleased to announce that the /11th General AMaMeF Conference/ will take place from *26th to 30th June 2023* in Bielefeld (Germany). Following the conference, a summer school on "Risk and Uncertainty in Economics, Insurance and Finance" will take place in the week of *July 3-7, 2023*. Save the dates! More information on these two events will follow shortly. We are looking forward to welcoming you to Bielefeld in the summer of 2023! Giorgio Ferrari and Frank Riedel

1 0

Fwd: PhD position @ Tor Vergata
by Silvestri, Vittoria 13 Oct '22

13 Oct '22

Ricevo ed inoltro volentieri. ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ******************************** ---------- Forwarded message --------- Da: Di Iura Andrea Giuseppe (GDS DS&G) <andreagiuseppe.diiura(a)enel.com> Date: mer 12 ott 2022 alle ore 17:05 Subject: PhD position @ Tor Vergata To: Silvestri(a)mat.uniroma1.it <Silvestri(a)mat.uniroma1.it> INTERNAL Dear all, There is a chance to reopen one Ph.D. position in Mathematics at Tor Vergata University in Rome, co-funded by Enel S.p.A. and the Italian Minister of Research. Information about the project is given at http://www.mat.uniroma2.it/dottorato/bando_22_23sept.php All deadlines are now closed. However, there is the possibility to reopen one position. Can you please forward the message to interested students in your universities? All potential candidates are invited to manifest their interest by writing me at andreagiuseppe.diiura(a)enel.com Thank you, Andrea Di Iura

1 0

(PMS)^2 talk - De Vecchi - October 17 at 14.00
by Carlo Orrieri 13 Oct '22

13 Oct '22

Dear colleagues, We are happy to announce the following hybrid - that is, in person with online streaming - talk: Speaker: Francesco Carlo De Vecchi (Università di Pavia) Title: A differential characterization of exponential quantum field theory on the plane Abstract: Characterizing a probability measure through an integration by parts formula is a classical problem in stochastic analysis. It finds applications in (Euclidean) quantum field theory, being related to the solutions of the equations of motion for the correlation functions of the quantum field. We approach this problem in the particular case of quantum field theory with exponential interaction on $\mathbb{R}^2$, studying a Fokker-Planck-Kolmogorov equation associated to the stochastic quantization equation for such a model. We prove that, under some conditions on the support of the measure, the solution to this Fokker-Planck-Kolmogorov equation exists and is unique, providing a complete characterization of the exponential measure by an integration by parts formula. The talk is based on a joint work with Massimiliano Gubinelli and Mattia Turra. Date and time: Monday October 17, 14:00-15:00 (Rome time zone) Place: Aula Beltrami, dipartimento di matematica dell’università di Pavia, via Ferrata 5, Pavia. Entra nella riunione in Zoom https://us02web.zoom.us/j/89875903841?pwd=NnJUclZidHl6RTg0a0ljcEVNVXp5UT09 <https://us02web.zoom.us/j/89875903841?pwd=NnJUclZidHl6RTg0a0ljcEVNVXp5UT09> ID riunione: 898 7590 3841 Passcode: 262094 This talk is part of the (PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico. Participation is free and welcome! Best regards The organizers (Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

1 0

Tenure-track or tenured position in Non-clinical Biostatistics at UCLouvain (Belgium)
by Elisa Perrone 13 Oct '22

13 Oct '22

Dear Colleagues, I’m sending the job offer below on behalf of Johan Segers. Please forward it to any potential candidate. Best wishes, Elisa --------------------------------------------------- UCLouvain invites applications for a tenure-track or tenured full-time position in Non-clinical Biostatistics The successful candidate will teach mainly in the field of statistics, biostatistics, and data science. The successful candidate will develop his or her research activities in the field of non-clinical biostatistics and his or her expertise should therefore be complementary to that in clinical biostatistics and mathematical statistics currently present at the Institute of Statistics, Biostatistics and Actuarial Sciences. The successful candidate will have a particular interest in applications related to the life sciences and possibly industrial statistics. More information: https://jobs.uclouvain.be/PersonnelAcademique/job/An-academic-position-in-N… <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.uclo…> Starting date: September 1st, 2023. Application deadline: Monday November 14, 2022, at noon (UTC+1). --------------------------------------------------- --- Elisa Perrone, Ph.D. Assistant Professor Department of Mathematics and Computer Science Eindhoven University of Technology elisaperrone.info <http://elisaperrone.info/>

1 0

Open call - Research Fellow at University of Oslo
by Giulia Di Nunno 12 Oct '22

12 Oct '22

Dear All, Let me bring to your attention the following position as Research Fellow (postdoc 18 months) at the Department of Mathematics, University of Oslo: https://www.jobbnorge.no/en/available-jobs/job/233446/research-fellow-at-th… Deadline for application: October 30, 2022 The Research fellow is expect to work within the scope of STORM - Stochastics for Time-Space Risk Models. In particular the research work will focus on the development of the theory and the application of models non-necessarily Markovian suitable for the modelling of market date and associated risks. More details are given in the call. Please feel free to distribute this ad further. Best regards, Giulia Di Nunno Professor Department of Mathematics University of Oslo, Norway

1 0

Special Issue "Advances in Optimal Control and Dynamic Games in Economics, Finance and Insurance" su "Decisions in Economics and Finance"
by Ferrari, Giorgio 12 Oct '22

12 Oct '22

Cari Colleghi, scriviamo per informarvi riguardo la "Call for Papers" relativa alla Special Issue/"//Advances in Optimal Control and Dynamic Games in Economics, Finance and Insurance/" della rivista "Decisions in Economics and Finance" (DEAF) di cui siamo guest editors: https://www.springer.com/journal/10203/updates/23587054 Questo numero speciale di DEAF intende pubblicare lavori su tematiche di controllo ottimo (deterministico e stocastico) e giochi differenziali (ad N giocatori e di campo medio) e loro applicazioni economiche, finanziarie ed attuariali. I contributi potranno essere inviati nella finestra temporale *01.11.2022 -- 30.06.2023*. La prima fase di revisione sarà terminata entro il *30.10.2023* ed i lavori selezionati verrano pubblicati on-line sul sito della rivista entro *Febbraio 2024*. Potete trovare maggiori informazioni a riguardo nella sezione "Manuscript Submission" alla pagina https://www.springer.com/journal/10203/updates/23587054 Attendendo numerosi contributi, vi salutiamo cordialmente. Salvatore Federico, Giorgio Ferrari, Luca Regis

1 0

One World ABC Seminar: Radu Craiu, October 20, 2.30pm
by Massimiliano Tamborrino 12 Oct '22

12 Oct '22

Dear all, our next One World ABC Seminar https://warwick.ac.uk/oneworldabc<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> is quickly approaching. Our next speaker is Radu Craiu <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Futstat.to…> (University of Toronto), who will talk about "Bayesian Computation Strategies for Big Data and Intractable Models" on Thursday, October 20, 2.30pm Uk time (Zoom link and password are reported below) Abstract: Bayesian computation is in double jeopardy due to massive data volumes that make the usual MCMC samplers too computationally expensive and/or models with intractable likelihoods. Even under such adverse conditions, Bayesian data analysis can still be conducted using divide and conquer strategies and/or approximate methods such as Approximate Bayesian Computation (ABC) or Bayesian Synthetic Likelihood (BSL). We discuss some recent work that addresses these challenges, including perturbed MCMC samplers that are used within the ABC and BSL paradigms to significantly accelerate computation while maintaining control on computational efficiency. Zoom link to join: https://chalmers.zoom.us/j/69336662676<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fchalmers.…> Password: 776005 We are looking forward to seeing you next Thursday, best wishes, Massimiliano on the behalf of the One World ABC Organisers ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>

1 0

3 Lecturer positions in the fields of Mathematics, Statistics and Operations Research at Aalto University, Finland (closing 30.11.2022) (fwd)
by Tiziano Vargiolu 11 Oct '22

11 Oct '22

---------- Forwarded message ---------- Date: Tue, 11 Oct 2022 10:06:25 +0000 From: Tölle Jonas <jonas.tolle(a)aalto.fi> Subject: 3 Lecturer positions in the fields of Mathematics, Statistics and Operations Research at Aalto University, Finland (closing 30.11.2022) Dear Friends, I would like to let you know that we are looking for lecturers in the fields of Mathematics, Statistics and Operations Research here at Aalto University, Helsinki capital area, Finland. https://www.aalto.fi/en/open-positions/3-lecturer-positions-in-the-fields-o… Please feel free to forward this email to suitable candidates from your network! The application closes on 30.11.2022. Kind regards, Jonas -- Jonas Tölle University Lecturer Aalto University School of Science Department of Mathematics and Systems Analysis PO Box 11100 FI-00076 AALTO FINLAND Otakaari 1 (Room Y234) ESPOO FINLAND jonas.tolle(a)aalto.fi https://math.aalto.fi/en/ https://jonas-toelle.com

1 0

LUISS math seminar - October 13, 2022 (& link)
by Sara 11 Oct '22

11 Oct '22

Dear all, I am pleased to announce the next seminar in our series. Speaker: Antoine Jacquier , Imperial College London Abstract: We introduce several algorithms from Quantum Computing technologies aimed at providing speedup compared to their classical counterparts. We shall highlight in particular how quantum entanglement provides potential expressive explanatory power for neural networks. Time permitting, we will showcase further applications to linear systems and PDEs and to optimisation problems. The seminar will be held on October 13 at 12 on campus, Room T03 - viale Romania 32, Roma. There is also a link for remote participants, *Link Aula T03: * https://luiss.webex.com/luiss-en/j.php?MTID=m6d5428b7dfa533b2f634971d60f58e… *User:* w_guest(a)luiss.it *Password:* iW4pw3TYs2Q Best regards, Sara -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli https://www.luiss.it/ Address: Viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

1 0

Postdoctoral position in Torino
by Matteo Ruggiero 11 Oct '22

11 Oct '22

Con preghiera di diffusione a potenziali interessati. Grazie Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it <http://www.matteoruggiero.it/> Postdoctoral position at the University of Torino Title: FAST INFERENTIAL STRATEGIES WITH COX-INGERSOLL-ROSS DRIVEN HIDDEN MARKOV MODELS AND THEIR EXTENSIONS Supervisor: Matteo Ruggiero (University of Torino and Collegio Carlo Alberto) www.matteoruggiero.it <http://www.matteoruggiero.it/> Brief description: The project aims at improving current inferential techniques addressed to diffusions like Cox-Ingersoll-Ross processes or their extensions, e.g. Dawson-Watanabe processes, or transformations, e.g., Wright-Fisher and Fleming-Viot diffusions. We will tackle Bayesian inference on the trajectory of such diffusions or on the parameters that characterize drift and volatility, under the assumption of a hidden Markov model framework with noisy data collection. We will typically exploit duality properties, which allow to write the conditional distributions of the hidden signal given the data in simpler forms than those obtained through the transition density of the signal, especially when the latter is only available as a series expansion, together with simulation and approximation strategies, which aim at accelerating the inference by leveraging on the discrete nature of the dual process state space. Such approaches will be used to make direct inference on the process trajectory and to set up Markov chain Monte Carlo strategies that target the estimation of the process parameters. Duration: 12 months, renewable. Application deadline: h13 Oct 24, 2022 Starting date: Dec 1 or later, 2022 Further info: matteo.ruggiero(a)unito.it Applications through https://www.serviziweb.unito.it/albo_ateneo/ <https://www.serviziweb.unito.it/albo_ateneo/> Reference number for the call: 4382; code reference in the call: ESOMAS.2022.08/XXIV.

1 0

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

Random