- Random - Mailing list — Dipartimento di Matematica, UniPI

Assegno di Ricerca a L'Aquila
by Faggionato, Alessandra 27 Feb '22

27 Feb '22

Ricevo ed inoltro. Saluti Alessandra ---------- Forwarded message --------- From: davide gabrielli <dvd.gabrielli(a)gmail.com> Date: Sun, 27 Feb 2022 at 19:12 Subject: bando To: Alessandra Faggionato <faggiona(a)mat.uniroma1.it> Si segnala il seguente bando per un assegno di ricerca annuale (rinnovabile) nel settore MAT/06 dal titolo "Mathematical Methods for large complex systems" presso il dipartimento DISIM dell'Università dell'Aquila: blob.php (univaq.it) Scadenza 10-03-2022 Si prega di darne la massima diffusione, grazie. -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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seminario: "Estimating the directing information and testing for causality", Maria Skoularidou, 1 Marzo
by Umberto Picchini 27 Feb '22

27 Feb '22

Caro gruppo Random, di sotto annuncio un seminario per il 1 Marzo. Saluti. *********************************************** You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University. We are very glad to have, on Tuesday March 1, Maria Skoularidou <https://www.mrc-bsu.cam.ac.uk/people/in-alphabetical-order/n-to-s/maria-sko…> who will talk of: ///"Estimating the directing information and testing for causality" / * * *About the speaker: *Maria Skoularidou <https://www.mrc-bsu.cam.ac.uk/people/in-alphabetical-order/n-to-s/maria-sko…> is a PhD student at Cambridge University, UK. Her thesis is focused on probabilistic machine learning and, more precisely, towards using generative modelling in healthcare. Her fields of interest lie in the underpinnings, theory and methodology of machine intelligence, Bayesian inference, theoretical computer science and information theory. She is founder and chair of {Dis}Ability in AI <https://elesa.github.io/ability_in_AI/> and founder and secretary of Women in Data Science and Statistics (RSS special interest group). // //* * *Abstract: *The problem of estimating the directed information rate between two discrete processes { X n } and {Yn } via the plug-in (or maximum-likelihood) estimator is considered. When the joint process {(Xn,Yn)} is a Markov chain of a given memory length, the plug-in estimator is shown to be asymptotically Gaussian and to converge at the optimal rate O(1/√n) under appropriate conditions; this is the first estimator that has been shown to achieve this rate. An important connection is drawn between the problem of estimating the directed information rate and that of performing a hypothesis test for the presence of causal influence between the two processes. Under fairly general conditions, the null hypothesis, which corresponds to the absence of causal influence, is equivalent to the requirement that the directed information rate be equal to zero. In that case, a finer result is established, showing that the plug-in converges at the faster rate O (1/ n) and that it is asymptotically χ 2 -distributed. This is proved by showing that this estimator is equal to (a scalar multiple of) the classical likelihood ratio statistic for the above hypothesis test. Finally, it is noted that these results facilitate the design of an actual likelihood ratio test for the presence or absence of causal influence.* * *Feel free to spread this announcement in your network.* * * *Where*:https://chalmers.zoom.us/j/61015800942 Password: 697666 ** **** *When*: Tuesday 1 March at 14.15-15.15*(Swedish time)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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ECSO-CMS 2022 - Second Call for Papers
by Martina Nardon 25 Feb '22

25 Feb '22

Dear Colleagues, we invite you to submit contributions and organized sessions proposals to ECSO – CMS 2022 that will be held on 29-30 June - 1 July 2022, in Venice, at the Department of Economics - Ca’ Foscari University, in the San Giobbe Economics Campus. *Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference * *29-30 June - 1 July 2022, Venice, Italy* ECSO - CMS 2022 is jointly organized by the Department of Economics of Ca’ Foscari University of Venice, the CMS Journal and the EURO Working Group on Stochastic Optimization. ECSO 2022 is the 3rd edition of a stream of conferences organized by the EURO Working Group on Stochastic Optimization (EWGSO). The previous editions were held in Paris (2014) and Rome (2017). The scope of the conference is to bring together researchers and professionals in Stochastic Optimization and its applications in different fields spacing from economics and finance to supply chain, logistics, etc. CMS 2022 is the 17th edition of an annual meeting associated with the journal of Computational Management Science published by Springer. The aim of the conference is to provide a forum for theoreticians and practitioners from academia and industry to exchange knowledge, ideas and results in a broad range of topics relevant to the theory and practice of computational methods in management science. This joint event will provide a forum for fruitful discussions and interactions among researchers and professionals from industry and institutional sectors on decision making under uncertainty in a complex world.The conference will be within the scopes of both CMS and EWGSO and, in particular, it will focus on models, methods and computational tools in stochastic, robust and distributionally robust optimization and on computational aspects of management science with emphasis on risk management, valuation problems, measurement applications. Traditional fields of application, such as finance, energy, water management, logistics, supply chain management, and emerging ones, such as healthcare, climate risk and sustainable development, will be included. VENUE: Department of Economics, Ca’ Foscari University of Venice San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy Webpage: www.unive.it/ecsocms2022 <http://www.unive.it/ecsocms2021> Conference Secretariat: ecsocms2022(a)unive.it Conference hashtag: #ecsocms2022 IMPORTANT DATES Abstract submission: *March 31, 2022* Notification of acceptance: *April 20, 2022* Early registration: *April 30, 2022* ORGANIZED SESSIONS AND MINI-SYMPOSIA We welcome proposals for organized sessions and mini-symposia. Proposals should have the following structure An organized session is on a single topic organized by the proponent with preferably four presentations (25 min). The organized session proposal should include details on the title, the proponent, and the speakers. The organizer may also be the chair and one of the speakers. A mini-symposium is a collection of (at least) two or more organized sessions on a single topic of substantial current interest and importance with the possibility of including a selected first presentation that can provide an overview of the topic area or put it in perspective. The mini-symposium proposal should include details on the title and a short description, proponent(s) and speakers. The deadline for submitting proposals is tentatively March 15th, 2022. Proposals can be sent to: stein-erik.fleten(a)ntnu.no, d.barro(a)unive.it, mnardon(a)unive.it. A *prize for the student best paper* will be awarded. Papers should be nominated via e-mail by the students’ supervisors (ecsocms2022(a)unive.it) *Deadline for the submissions to the prize is May 15.* The program will include a devoted session for presenting the best papers to compete for the prize, such that the jury could make the final choice. The paper does not have to be published. The papers should be principally authored by the student, but co-authors are permitted as long as their contributions are clarified. Only registered participants’ papers will be considered for the prize.Jury for the Student Best Paper Prize: Stein-Erik Fleten (NTNU Norwegian University of Science and Technology), Milos Kopa (Charles University of Prague), Francesca Maggioni (University of Bergamo), Ruediger Schultz (University Duisburg-Essen). We are looking forward to seeing you in Venice. Best Regards, Diana Barro, Stein-Erik Fleten and Martina Nardon Organizing and Program Committees Chairs -------------------------------------- Dr. Martina Nardon Dipartimento di Economia Università Ca' Foscari Venezia San Giobbe - Cannaregio, 873 30121 Venezia, Italy tel. +39 041 234 7413 --------------------------------------

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posizioni Postdoc all'Università di Granada
by Antonio DI CRESCENZO 24 Feb '22

24 Feb '22

Su richiesta, invio notizia di 4 posizioni Postdoc all'Università di Granada su argomenti di ricerca liberi. Cordiali saluti, Antonio Di Crescenzo --- The Institute of Mathematics of the University of Granada (IMAG) offers *two junior (candidates with less than three years of research experience after PhD) and two senior (more than three years of research experience after PhD) postdoctoral research positions* with open research topics. The period for submitting applications will begin on February 25th 2022, and will end on March 25 2022 at 23:59 GMT+2. cf. https://wpd.ugr.es/~imag/es/imag-maria-de-maeztu-postdoc/

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PhD course on Malliavin calculus by L.Tubaro - Announcement
by Luigi Amedeo Bianchi 24 Feb '22

24 Feb '22

I am pleased to announce (even though a bit close to the starting date, Feb. 28) that the Doctoral School of Mathematics in Trento, will offer a course on Malliavin Calculus by Prof. Luciano Tubaro (Università di Trento). The 30 hours long course will start on Monday, February 28 and is scheduled until Monday, May 2, with classes on Mondays (14.30-16.30) and Fridays (9.30-12.30). Those interested in attending remotely should get in touch with the Doctoral School of Mathematics phd.maths(a)unitn.it <mailto:phd.maths@unitn.it>. Best, Luigi Amedeo Bianchi luigiamedeo.bianchi(a)unitn.it <mailto:luigiamedeo.bianchi@unitn.it>

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Assegno di ricerca a Firenze
by Luisa Andreis 24 Feb '22

24 Feb '22

Cari colleghi e colleghe, scusate il molteplice invio, ma a causa di un refuso nel testo in inglese vi invio nuovamente l’annuncio (corretto) della posizione aperta nel nostro Dipartimento. ------------------------------------- Cari colleghi e colleghe, si è aperto un bando per un assegno di ricerca di 1 anno rinnovabile per un secondo anno al Dipartimento di Matematica e Informatica “Ulisse Dini” dell’Università di Firenze. Il bando ha scadenza 22 Marzo 2022. La ricerca verterà sullo studio e sull'uso di tecniche probabilistiche (limiti di scala, fluttuazioni, grandi deviazioni) nell'ambito di sistemi stocastici interagenti di vario tipo, con una particolare attenzione agli aspetti geometrici di essi. Trovate i dettagli del bando al fondo di questa email. Per ulteriori informazioni rivolgersi a luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Vi preghiamo di diffondere con chiunque pensiate possa essere interessata/o. Cordiali saluti, Luisa Andreis, Gianmarco Bet e Daniele Angella ENGLISH VERSION———————————————————— Dear colleagues, A call for a 1 year post-doc position (with possibility of extension to a second year) is open at the Mathematics Department in Florence, with deadline March 22, 2022. The project aims to study and use probabilistic techniques (scaling limits, fluctuations, large deviations) in the framework of interacting random systems, with a particular focus on their geometrical aspects. You find the details of the call at the bottom of this email. For any further information, please feel free to contact: luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Please, feel free to forward this announcement to whoever you think might be interested. Best regards, Luisa Andreis, Gianmarco Bet e Daniele Angella DETAILS OF THE CALL ------------------------------------------------------------------------------------------------ Official call (English below): https://titulus.unifi.it/albo/viewer?view=files%2F004448566-UNFICLE-2efe6cd… <https://titulus.unifi.it/albo/viewer?view=files/004336873-UNFICLE-7daf4f5f-…> Title of the project: "Probabilistic aspects and geometrical properties of interacting random systems” Principal Investigators: Luisa Andreis, Gianmarco Bet, Daniele Angella (University of Florence) Luisa Andreis ------------------------------------------------------- RTD-A Dipartimento di Matematica e Informatica “Ulisse Dini" Università degli Studi di Firenze Viale Morgagni 65, 50134, Firenze, IT Personal webpage: https://sites.google.com/view/luisaandreis/home <https://sites.google.com/view/luisaandreis/home> Probability group webpage: https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1 <https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1> Email: luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it>

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Assegno di ricerca a Firenze
by Luisa Andreis 23 Feb '22

23 Feb '22

Cari colleghi e colleghe, si è aperto un bando per un assegno di ricerca di 1 anno rinnovabile al Dipartimento di Matematica e Informatica “Ulisse Dini” dell’Università di Firenze. Il bando ha scadenza 22 Marzo 2022. La ricerca verterà sullo studio e sull'uso di tecniche probabilistiche (limiti di scala, fluttuazioni, grandi deviazioni) nell'ambito di sistemi stocastici interagenti di vario tipo, con una particolare attenzione agli aspetti geometrici di essi. Trovate i dettagli del bando al fondo di questa email. Per ulteriori informazioni rivolgersi a luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Vi preghiamo di diffondere con chiunque pensiate possa essere interessata/o. Cordiali saluti, Luisa Andreis, Gianmarco Bet e Daniele Angella ENGLISH VERSION———————————————————— Dear colleagues, A call for a 2 years post-doc position is open at the Mathematics Department in Florence, with deadline March 22, 2022. The project aims to study and use probabilistic techniques (scaling limits, fluctuations, large deviations) in the framework of interacting random systems, with a particular focus on their geometrical aspects. You find the details of the call at the bottom of this email. For any further information, please feel free to contact: luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Please, feel free to forward this announcement to whoever you think might be interested. Best regards, Luisa Andreis, Gianmarco Bet e Daniele Angella DETAILS OF THE CALL ------------------------------------------------------------------------------------------------ Official call (English below): https://titulus.unifi.it/albo/viewer?view=files%2F004448566-UNFICLE-2efe6cd… <https://titulus.unifi.it/albo/viewer?view=files/004336873-UNFICLE-7daf4f5f-…> Title of the project: "Probabilistic aspects and geometrical properties of interacting random systems” Principal Investigators: Luisa Andreis, Gianmarco Bet, Daniele Angella (University of Florence) Luisa Andreis ------------------------------------------------------- RTD-A Dipartimento di Matematica e Informatica “Ulisse Dini" Università degli Studi di Firenze Viale Morgagni 65, 50134, Firenze, IT Personal webpage: https://sites.google.com/view/luisaandreis/home <https://sites.google.com/view/luisaandreis/home> Probability group webpage: https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1 <https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1> Email: luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it>

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Next LTI@Unito webinars: March 1, 2022 @12:00 | March 2, 2022 @16:00
by Luca Regis 23 Feb '22

23 Feb '22

Dear colleagues, I am happy to invite you to the following two seminars in Quantitative Finance, organised by LTI@UniTO and Collegio Carlo Alberto: * Anatoli Segura (Bank of Italy), "Firm-bank linkages and optimal policies in a lockdown", on March 1st, h.12; * Daniel Andrei (McGill University), "Schumpeterian Competition in a Lucas economy", on March 2nd, h.16 You can find below titles, abstracts and zoom links to participate. All the best, Luca Regis -- Luca Regis Associate Professor ESOMAS Department, University of Torino Affiliate, Collegio Carlo Alberto sites.google.com/view/lucaregis Office: +39 011 670 6065 www.carloalberto.org/lti <#> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/ah6H1YEJxW87KLwVG32rWB4OULDhxlF8bw…> <#> *LTI@UniTO* and *Fondazione Collegio Carlo Alberto* are pleased to invite you to the following seminars <#> *March 1, 2022 | 12:00 - 13:15 @ HYBRID EVENT* <#> *Firm-bank linkages and optimal policies in a lockdown* Anatoli Segura, /Bank of Italy/ <#> *Abstract.* We develop a novel framework featuring loss amplification through firm-bank linkages. We use it to study optimal government support in a lockdown that creates heterogeneous revenue losses to firms, which must borrow from banks. Firms’ increase in debt reduces their output due to moral hazard. Banks need safe collateral to raise funds. Without government support, aggregate risk constrains bank lending, amplifying output losses. Optimal support provides sufficient aggregate risk insurance, and is implemented with firm-specific transfers, fairly-priced guarantees on bank debt, and countercyclical firms’ taxation to achieve a fiscal surplus target. Our results shed light on suboptimality dimensions in the actual policy responses. <#> To attend in presence, register here https://forms.gle/vPYYEGBktf66zc4W6 <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/f9zEQSjy6xY7o19sfmiU7UwOhW9DQd5VBI…> To attend online, join zoom meeting https://us02web.zoom.us/j/88281857502?pwd=eW5GazNrYnFUUVR0cGg3RUlCM0NYUT09 <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/-IGT70kXO1-43Lgp7MtmZ2Fo3avErRm3RM…> Meeting ID: 882 8185 7502 Passcode: 161878 <#> <#> *March 2, 2022 | 16:00 - 17:15 @ WEBINAR* <#> *Schumpeterian Competition in a Lucas Economy* Daniel Andrei, /McGill University/ <#> *Abstract.* We model a rent-seeking game where agents experiment with a new technology and compete for claims to a consumption stream. We characterize how creative destruction affects risk, wealth, and asset prices. Competition not only imposes excessive disruption risk on existing assets and higher technological uncertainty, it also increases the wealth duration (the weighted-average maturity of the consumption stream). Because of hedging motives, a complementarity between wealth duration and technological uncertainty decreases systematic risk. If competition is sufficiently intense, a negative risk premium may arise. The model generates price paths consistent with boom-bust patterns and transient episodes of negative expected excess returns. We discuss the implications of competition for income inequality. <#> To attend online, Join Zoom Meeting https://us02web.zoom.us/j/82378901875?pwd=MVhPeTZGZktWNFk3RmdyMUltb3lDUT09 <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/tRYUAKB8XcDiTZ9YGCloGbosl3wS0nUBFI…> Meeting ID: 823 7890 1875 Passcode: 423048 <#> <#> <#> <#> <#> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/iaN__jlfz6z7ijnfLR9yi2AHyTYkufRgRm…> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/7J-M65ra_O8_zk55wtbsnjVbAlqEnu-eZ_…> <#> FONDAZIONE COLLEGIO CARLO ALBERTO Piazza Arbarello 8 - 10122 Torino, Italy phone: +390116705000 segreteria(a)carloalberto.org - www.carloalberto.org Facebook <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/Gny4_tfBFbYYjw5HiREGZ-3ih-MVeJe-HI…> Twitter <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/Ya696wYXuXevZmqUAl4AriMzYAAdxWQM75…> LinkedIn <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/wGq5ypAH5lBEZNV43pojp_3Bxd-QPNIYqf…> Instagram <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/Q-3bd3A33E3Uq--boYenIHuOmG53Ynvmlq…> Youtube <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/zolUnqcEQVaFklBL9NPBCULdSO9KrCqZol…> <#> *INFORMATION UNDER THE NEW GENERAL DATA PROTECTION REGULATION (GDPR)* Your personal information has been gathered for the exclusive purpose of informing you about the Collegio's initiatives, considering our and your legitimate interest or your consent. If you wish to have your personal data modified please contact Fondazione Collegio Carlo Alberto, piazza Arbarello 8, 1022 Torino, Italy - phone: +390116705000 - privacy(a)carloalberto.org To find out about the policies regarding the processing of personal data pursuant to articles 13-14 of EU Regulation 2016/679, consult the information at the following link https://www.carloalberto.org/privacy/ <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/m6_Vcv454VA2JGDbuu9ndxuODgMv44BFN7…> *Unsubscribe* <https://4z5y5.r.a.d.sendibm1.com/mk/un/x1e5O_rQKC48y-WOyCM1OTaHo8E1FyDZhh2p…> <#> © 2021 Fondazione Collegio Carlo Alberto

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PhD course "Analysis and control of stochastic models of biomolecular interactions"
by Daniele Cappelletti 23 Feb '22

23 Feb '22

Dear colleagues, I am happy to announce the following PhD course: The PhD course "Analysis and control of stochastic models of biomolecular interactions", taught by Dr. Ankit Gupta (Department of Biosystems Science and Engineering, ETH Zürich) will be hosted by Politecnico di Torino, Turin, Italy, in May 17-20, 2022. Attending in person is strongly recommended, but other options are available if necessary. To register and for any question, please write to daniele.cappelletti(a)polito.it. The course will deal with stochastic reaction network models, which are continuous time Markov chains commonly used to model biochemical dynamics within cells. Their theoretical and computational analysis is often quite challenging, and design of mathematical methods for their study is currently a very active research area. The goal of this course is to familiarize the students with a broad spectrum of these methods and illustrate them with several biological applications of current and lively interest in the research community. In particular, the following topics will be covered: 1. Finite State Projection methods 2. Moment Closure Schemes 3. Simulation approaches 4. Separation of Extrinsic and Intrinsic noise from biological data 5. Design of intracellular controllers in living cells Best regards, Daniele Cappelletti

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Scouting for temporary research position (RTD-B) at IMT School "Alti Studi" Lucca
by Irene Crimaldi 23 Feb '22

23 Feb '22

Tenure Track Assistant Professor (RTD-B) - Management and Finance The candidate must have excellent scientific production and solid experience in management science, business strategy (performance & business dynamics, dynamic capabilities) and/or quantitative finance. The position will strengthen one of the core missions of IMT Lucca in the analysis of business and market dynamics, also with the use of quantitative techniques. The ideal candidate is a scholar with a solid research background in management and/or finance at the international level, an excellent scientific production, with clear evidence of the results achieved so far and future perspectives. A specific experience in teaching at the postgraduate (master and doctorate) level will be considered as a plus. Candidates should be open to interdisciplinary collaborations. Tenure Track Assistant Professor (RTD-B) - Networks and Data Science The candidate must have an excellent scientific production and a solid experience in network science and/or data science. The position will strengthen one of the core missions of IMT Lucca in the multidisciplinary analysis of complex systems dynamics, via the application of data-driven methods (e.g. mathematical, physical, statistical or machine learning models) and/or network-based methods (e.g. agent-based models; percolation models; models for network inference from observed time series). The ideal candidate is a scholar with a solid research background in network science and/or data science at the international level,an excellent publication track record, with clear evidence of the results achieved so far and future perspectives. A specific experience in teaching at the post-graduate (master and doctorate) level will be considered as a plus. Candidates should be open to interdisciplinary collaborations in order to develop quantitative methods for data analysis and apply them to study problems of interest in the context of the natural, social, economic, financial sciences and engineering (e.g. the diffusion of epidemics, the propagation of signals and shocks, the formation of opinions). ------------------ The candidate will contribute to the teaching and research activities of the School. Knowledge of the Italian language is not required. Potential candidates are invited to fill in the form by attaching: 1. a curriculum vitae and the list of publications 2. a letter of motivation 3. three names of experts to whom letters of reference may be requested. The deadline for expressions of interest is March 18th, 2022 at 12:00 (Italian time) https://www.imtlucca.it/en/the-imt-school/job-opportunities/academic-positi…

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