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EFI7 - extended deadline (fwd)
by Tiziano Vargiolu 21 Dec '21

21 Dec '21

---------- Forwarded message ---------- Date: Tue, 21 Dec 2021 13:12:43 +0000 From: ALESSANDRO SAPIO <alessandro.sapio(a)uniparthenope.it> -- Dear All, we are glad to announce the 7th edition of Energy Finance Italia. The workshop will be organised by the Department of Business and Economics (DiSAE) and by the Department of Business and Quantitative Studies (DiSAQ), Parthenope University of Naples, and will take place on February 10-11, 2022. The workshop welcomes applications of econometrics, forecasting, risk management, portfolio optimisation, and big data techniques to energy markets. We aim to hold the workshop as an in-person event. A limited number of online slots will be reserved to participants who are unable to reach the conference venue due to pandemic restrictions. Any change in the workshop format will be communicated by means of our website and newsletter. The deadline for the submission of a long abstracts (max two pages) has been extended to January 10, 2021. Please, send your abstracts to efi7(a)uniparthenope.it. Notification of acceptance: January 15, 2022. Registration and payment of fees: not later than January 25, 2022. More information on the workshop is available at: http://energyfinanceitalia.unicam.it/index.php/energy-finance-italia-7-work… Best regards, Alessandro Sapio on behalf of the Organizing Committee

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Third Italian Meeting on Probability and Mathematical Statistics
by Tiziano Vargiolu 20 Dec '21

20 Dec '21

Apologies for cross-posting Dear Colleagues, we are pleased to announce the Third Italian Meeting on Probability and Mathematical Statistics (Bologna, Italy, June 13th-16th, 2022) https://site.unibo.it/probstat/en Plenary Speakers Federico Camia, New York University Abu Dhabi & Vrije Universiteit Amsterdam Sandra Cerrai, University of Maryland Andrea Montanari, Stanford University Igor Pruenster, Bocconi University Wolfang Runggaldier, University of Padua Contributions to the Meeting Contributions to the Meeting are given by oral presentations (organized in Contributed Sessions and Organized Sessions) or posters. The abstracts of all contributions have to be submitted through the contribution form in the website of the conference, within March 30, 2022. The official language is English. Each oral presentation has a 25-minute time slot, including 5 minutes for questions. Oral presentations will be arranged in Contributed Sessions and Organized Sessions by the Scientific Committee on the basis of common topics of interest. Organized Sessions An Organized Session is a block of 3 or 4 presentations given by speakers invited by one or more organizers. Organized Session proposals are submitted by the organizer(s) through the session form in the website of the conference, within March 30, 2022. Proposals of Organized Sessions from early career researchers will be warmly welcome. Speakers of an organized session have to submit their abstract through the contribution form within March 30, 2022. Participants are encouraged to submit their proposals or Organized Sessions on a wide range of theoretical and applied topics in Probability and Mathematical Statistics. A non-exhaustive list is the following: Algebraic Statistics, Bayesian Nonparametrics, Dependence Modeling, Foundations of Probability, Fractional Stochastic Dynamics, Game-Theoretical Probability, High Dimensional Data Analysis, Information and Stochastic Geometry, Insurance Mathematics, Interacting Particle Systems, Mathematical Ecology, Measure Valued Processes, Optimal Transport and its Applications in Probability, Probabilistic Data Science, Quantum Probability, Random Fields, Risk Analysis and Reliability, Simulation in Probability and Statistics, Statistical Inference, Stochastic Differential Equations, Stochastic Dynamics in Statistical Physics, Stochastic Financial Markets, Stochastic Models in Biology and Medicine, Stochastic Processes and Applications, Stochastic Networks and Queueing, Teaching Probability and Mathematical Statistics, Uncertainty Quantification. We look forward meeting you soon. The Scientific Committee Claudia Ceci, Paolo Dai Pra, Antonio Di Crescenzo, Franco Fagnola, Marco Ferrante, Franco Flandoli, Antonio Lijoi, Domenico Marinucci, Andrea Pascucci, Franco Pellerey, Laura Sacerdote The Local Organizing Committee Fabio Antonelli, Elena Bandini, Massimo Campanino, Andrea Cosso, Marco Di Francesco, Alberto Lanconelli, Stefano Pagliarani, Andrea Pascucci, Pietro Rigo, Tiziano Vargiolu --------------------------------------------------------------- Andrea Pascucci andrea.pascucci(a)unibo.it Dipartimento di Matematica P.zza di Porta S. Donato, 5 40126 Bologna - Italy Office Tel. +39-0512094428 Fax +39 0510821834 https://sites.google.com/view/andrea-pascucci/ Skype: andrea.pascucci --------------------------------------------------------------- "I have studied many times The marble which was chiseled for me ? A boat with a furled sail at rest in a harbor. In truth it pictures not my destination But my life. For love was offered me and I shrank from its disillusionment; Sorrow knocked at my door, but I was afraid; Ambition called to me, but I dreaded the chances. Yet all the while I hungered for meaning in my life. And now I know that we must lift the sail And catch the winds of destiny Wherever they drive the boat. To put meaning in one?s life may end in madness, But life without meaning is the torture Of restlessness and vague desire ? It is a boat longing for the sea and yet afraid."

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13th International Workshop on Stochastic Models and Control (SMC 2022)
by Giorgio Ferrari 15 Dec '21

15 Dec '21

Dear Colleagues, it is my pleasure to forward the following message. Best wishes, Giorgio Ferrari %%%%%%%%%%%% It is our pleasure to announce the 13th International Workshop on Stochastic Models and Control (SMC 2022) March 14-18, 2022, Lübeck-Travemünde, Germany: https://user.math.uni-kiel.de/SMC2022 The workshop on Stochastic Models and Control (SMC) 2022 in Lübeck-Travemünde is the 13th edition in the series of these conferences. At SMC, experts from different fields of stochastic control and optimization meet to exchange ideas and to discuss recent developments. The workshop aims to connect theory with applications which can be found in various areas like stochastic networks, game theory, statistics, operations research, finance and insurance, energy economics, molecular dynamics, robotics, communication technology. The goal is to foster existing collaborations and to identify and explore directions for future research. Confirmed invited speakers are Fred Benth (University of Oslo) Sara Biagini (LUISS G. Carli, Rome) Christa Cuchiero (University of Vienna) Francois Dufour (University of Bordeaux) Erik Ekström (University of Uppsala) Anna Jaskiewicz (Wrocław University) Sigrid Källblad (KTH Stockholm) Zbigniew Palmowski (Wrocław University) Huyên Pham (University Paris 7 Diderot) Dylan Possamai (ETH Zürich) Łukasz Stettner (Polish Academy of Sciences) Claudia Strauch (University of Aarhus) Contributed talks are highly welcome and abstracts can be submitted until January 10. Deadline for registration is January 17. For further details please visit the webpage (link above) or contact us (smc2022(a)math.uni-kiel.de) At this point in time, the development of the pandemic is of course difficult to predict. We expect that there will be some requirements. Participation is presumably only allowed for vaccinated and recovered persons. More details will be provided later. Best regards, Sören Christensen -- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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Conferenza in onore di Bruno Betrò - 25 gennaio 2022
by Sara Pasquali 15 Dec '21

15 Dec '21

Siamo lieti di annunciare che il giorno 25 gennaio 2022 si terrà una conferenza in onore di Bruno Betrò, dedicata alla sua attività a favore della scienza come studioso, nel Comitato per la Matematica del CNR, nel sindacato. La conferenza si terrà in forma ibrida. Per chi intende partecipare di persona, ci troveremo, a partire dalle ore 9.30, presso l'Area della Ricerca di Milano in via A. Corti, 12. In alternativa, sarà possibile collegarsi a distanza e a tutti gli interessati verrà inviato il link per il collegamento. Il programma sarà diviso in due parti. La mattina ci saranno alcune presentazioni di carattere scientifico legate alle ricerche condotte da Bruno nella sua lunga carriera di scienziato e il pomeriggio sarà dedicato a presentazioni sulle sue attività in campo sindacale, istituzionale nel CNR e nel suo istituto (CNR IAMI prima e CNR IMATI Milano poi). Il programma dettagliato può essere consultato al sito https://arm.mi.imati.cnr.it/betro/index.html La partecipazione è gratuita ma, per motivi organizzativi, chiediamo di registrarsi al sito https://arm.mi.imati.cnr.it/betro/contact.html Nella speranza di avervi come partecipanti vi inviamo i nostri migliori saluti. Il Comitato Organizzatore Maria Teresa Artese Tommaso Del Viscio Maria Grazia Grizzaffi Sara Pasquali Antonio Pievatolo Fabrizio Ruggeri (presidente)

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Call for abstracts: "Statistical mechanics approaches to earth system dynamics'' EGU Session
by Giulia Carigi 13 Dec '21

13 Dec '21

Dear Colleagues, with apologies for cross-posting, we would like to draw your attention to the session NP1.1 ``Statistical mechanics approaches to earth system dynamics: invariant measures, response, and large deviations'' to be held as part of the upcoming General Assembly of the European Geosciences Union (Vienna, Austria, 3rd to 8th of April 2022). A short description of the session can be found here https://meetingorganizer.copernicus.org/EGU22/session/42646 or at the end of this email. We would be very happy if you could consider submitting an abstract to this session. IMPORTANT: deadline for abstract submission is 12 January 2022, 13:00 CET For further info on abstract submission see here: https://egu22.eu/abstracts_and_programme/how_to_submit_an_abstract.html EGU2022 will be a hybrid conference – more information at https://egu22.eu/about/provisional_meeting_format.html Best wishes, Jochen Broecker (Convener), Vera Melinda Galfi, Giulia Carigi, Georgios Margazoglou, Jeroen Wouters (Co-Conveners) SESSION DESCRIPTION: The equations governing the dynamics of the atmosphere and the ocean provide us with an enormously powerful tool to understand and predict the future evolution of these dynamics. By integrating these equations forward in time from a given initial condition, we are able to produce highly realistic trajectories of the earth system's temporal evolution. A number of scientific questions however consider the statistical behaviour of solution ensembles, with the heterogeneity coming from different (yet ``typical'') initial conditions or random external forces. Examples are questions related to the global mean temperature or rainfall, the frequency of extreme events, but also questions regarding the average predictability of the system or its susceptibility to external perturbations. Statistical mechanics provides a framework in which such questions can be addressed. Rather than considering individual solutions, randomness and uncertainty are introduced to describe the ensemble of solutions in a probabilistic manner. This statistical mechanics approach to earth system dynamics will be the theme of this session. Contributions will cover a broad range of aspects from theory to applications and from mathematics to climate science. Topics include: * Novel mathematical techniques from the theory of stochastic processes and PDE's * Examples of ideas and methods from statistical mechanics being applied to the earth system (including, but not limited to, linear response, model reduction, large deviations and related algorithms) * Potential future applications, for instance in downscaling, data assimilation and parametrisations ----------------------------------------------------------------- Giulia Carigi, Postdoctoral Research Fellow Department of Mathematics and Statistics University of Reading, UK

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Seminar by A. Picarelli in Padova (this Friday)!
by Giorgia Callegaro 13 Dec '21

13 Dec '21

Dear all, it is a pleasure to announce the forthcoming seminar by *Athena Picarelli* (Università di Verona), which will be held *in person* room 2BC30 of the Mathematics Department (Torre Archimede) of the University of Padova and online, via Zoom, this Friday. Here are the details: * Date and time: 17 December, 14.30 pm * Title: *Optimal management of pumped hydroelectric production with state constrained optimal control* * Abstract: We present a novel technique to solve the problem of managing optimally a pumped hydroelectric storage system. This technique relies on representing the system as a stochastic optimal control problem with state constraints, these latter corresponding to the finite volume of the reservoirs. Following the recent level-set approach presented in O. Bokanowski, A. Picarelli, H. Zidani, State-constrained stochastic optimal control problems via reachability approach, SIAM J. Control and Optim. 54 (5) (2016), we transform the original constrained problem in an auxiliary unconstrained one in augmented state and control spaces, obtained by introducing an exact penalization of the original state constraints. The latter problem is fully treatable by classical dynamic programming arguments. * Zoom link: please visit the webpage https://www.math.unipd.it/~bianchi/seminari/ Thanks for your attention and see you soon in Padova, 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

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Scouting Internazionale presso la Scuola IMT, Lucca
by Irene Crimaldi 13 Dec '21

13 Dec '21

Carissimi, scrivo per portare alla vostra attenzione lo scouting internazionale avviato dalla Scuola IMT nelle aree di Statistica, Econometria e Machine Learning. Vi prego di diffondere la notizia. Grazie. Cordiali saluti, Irene Crimaldi Statistica, Econometria, Machine Learning *Scadenza per la presentazione della manifestazione di interesse: 31 marzo 2022 ore 23:59 (ora italiana)* Candidature ideali sono quelle di studiosi con un solido background di ricerca a livello internazionale su temi di statistica, econometria o machine learning. La Scuola IMT è interessata a candidate/i con una eccellente produzione scientifica e una solida esperienza nello sviluppo di metodi statistici applicati all'analisi dei sistemi economici. La posizione fa parte di una serie di iniziative promosse dalla Scuola IMT per lo sviluppo strategico delle attività di data science con applicazioni in diversi domini e con il contributo di diversi ambiti disciplinari. Le candidate / i candidati devono possedere una consolidata esperienza nella conduzione di gruppi di ricerca, specifiche esperienze di insegnamento e supervisione studenti a livello dottorale, un'ampia produzione scientifica con chiara evidenza dei risultati sinora conseguiti e delle future prospettive. Tutte le attività della Scuola IMT, incluse le attività didattiche, sono condotte in lingua inglese. I potenziali candidati sono invitati a compilare il modulo on-line allegando: 1. un curriculum vitae con la lista delle pubblicazioni 2. una lettera di motivazione 3. tre nomi di esperti ai quali chiedere lettere di referenze.

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Seminar in Statistics LORENZO MASOERO
by Pierpaolo De Blasi 10 Dec '21

10 Dec '21

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 17 Dicembre 2021, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Lorenzo Masoero *(Amazon) Title: *Improved prediction and optimal sequencing strategies for genomic variant discovery via Bayesian nonparametrics* Abstract:Despite the advent of Big Data, data-gathering in many domains can still be an expensive process that necessitates careful planning when operating under a fixed, limited budget. For instance, sequencing new genomic data is a complex procedure that requires careful tuning: researchers can spend resources to sequence a greater number of genomes (quantity), or spend resources to sequence genomes with increased accuracy (quality). In this talk, I consider the common setting in which scientists have already conducted a pilot study to reveal variants in a genome and are contemplating a follow-up study. Spending additional resources has the potential to reveal new variations in the genome, and thereby new genetic insights. Therefore, practitioners are interested in (i) predicting how many new discoveries they will make under different experimental design choices. In turn, they can leverage these predictions to optimally allocate available resources in the design of a future experiment, e.g. (ii) to maximize the number of future discoveries or (iii) to optimize the usefulness of a future experiment for the task at hand, e.g. the power of an associated statistical test. I discuss novel methodologies to solve the problems mentioned above. Our approach relies on a Bayesian nonparametric formulation that facilitates (i) prediction for the number of new variants in the follow-up study based on the pilot study. We show empirically that, when experimental conditions are kept constant between the pilot and follow-up, our method's prediction is competitive with the best existing methods. Unlike current methods, though, our new method allows practitioners to change experimental conditions between the pilot and the follow-up. We demonstrate how this distinction allows our method to be used for more realistic predictions and for optimal allocation of a fixed budget between quality and quantity. In particular, we first show how, under a fixed budget, my predictions can be used to maximize (ii) the number of new genomic variants discovered in a follow-up study. Last, we show how our framework can guide practitioners in other experimental design problems, and specifically how to achieve (iii) the highest possible power in statistical tests in the context of rare variants association studies. ------------------------------------------------ In ottemperanza alle norme anti Covid, per partecipare in presenza è necessario prenotarsi tramite il seguente form online: https://forms.gle/jVPLoDCQ1ANSB5dg8 Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/88971670320?pwd=VXFseHNlYm5EKzFmZ25oTGdlRWw4QT09> Meeting ID: 889 7167 0320 Passcode: 362208 Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats Cordiali saluti, Pierpaolo De Blasi --- University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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(PMS)^2 online talk: Martin Huesmann (Dec 13, 5:30pm)
by Mario Maurelli 08 Dec '21

08 Dec '21

Dear colleagues, We are happy to announce the following online talk: Speaker: *Martin Huesmann* (Universität Münster) *Title*: A fluctuation result for the optimal matching problem *Abstract*: The optimal matching problem is one of the classical random optimization problems. While the asymptotic behavior of the expected cost is well understood only little is known for the asymptotic behavior of the optimal couplings - the solutions to the optimal matching problem. In this talk we show that at all mesoscopic scales the displacement under the optimal coupling converges in suitable Sobolev spaces to a Gaussian field which can be identified as the curl-free part of a vector Gaussian free field. Based on joint work with Michael Goldman. Date and time: *Monday December 13, 17:30-18:30* (Rome time zone) *Zoom link*: https://us02web.zoom.us/j/8342220461 This is a talk of the *(PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics* organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. For more information see the dedicated webpage: https://paviamilanoseminars.wordpress.com/ Participation is free and welcome! Best regards The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

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4 Assistant Professorships + 1 Harrison position in Statistics @Warwick
by Massimiliano ... 08 Dec '21

08 Dec '21

Dear all, 4 assistant professorships (permanent with a 5 year probation) and 1 Harrison position(until October 2024) are available at the Department of Statistics, University of Warwick, seewww.warwick.ac.uk/statjob<http://www.warwick.ac.uk/statjobs>for more details. All applications close on January 9. For the Assistant professorships, we are particularly keen in making appointment in the following areas: * Applied Statistics * Data Science * Stochastic Finance but welcome applications across the spectrum of Probability and Statistics, broadly interpreted, seehttps://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5062452&ownertype=fair&jcode=1880930&vt_template=1457&adminview=1 I'd appreciate if you could circulate this information around your networks, and encourage applications from talented early career researchers you are aware of. Feel free to get back to me if you have any questions. Best wishes, Massimiliano ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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