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Seminar@UNIBO - ROSANNA GRASSI
by Fabrizio Lillo 22 Apr '23

22 Apr '23

*Tuesday May 2nd, 2023 12:00* *– 13:00* Dipartimento di Matematica, Università di Bologna Aula Seminario II, Piazza di Porta San Donato 5, Bologna Prof. Rosanna Grassi, Università degli Studi di Milano-Bicocca *Title: Higher order assortativity for directed weighted networks and Markov chains* Abstract: Assortativity is a global indicator that provides meaningful insights about the network structure. In the classical definition, the assortativity is a global measure based on the Pearson correlation between the degrees of nodes. This definition can be extended into two different directions. On the one side, one can consider other quantitative attributes of the nodes different from the degree; on the other side, one can move from the adjacency of the nodes – which is the basis of Newman’s degree-degree assortativity – and propose more general ways to connect them. We provide a generalized concept of the assortativity measure for directed and weighted networks, moving beyond the adjacency relations in both directions. The proposed concept is formulated on a node attribute that is not necessarily the degree or strength, and nodes are connected through walks or paths. In this way, we totally extend the assortativity definitions provided in the literature until now. We provide an empirical application of these measures for the paradigmatic case of the trade network. Interestingly, this interpretation of the higher-order assortativity measure allows stating a natural bridge between complex networks and stochastic processes. In so doing, we are able to move from the information content of the higher order assortativity of a network to the dynamical properties of the underlying Markov chain. Specifically, the temporal dimension of the network and the regularities captured by the autocorrelation – which are hidden in the network structure – become clear in moving to the Markov chain theory. ---------------------------------------- Fabrizio Lillo Dipartimento di Matematica, Università di Bologna Scuola Normale Superiore, Pisa ITALY Personal website: fabriziolillo.wordpress.com University website: www.unibo.it/sitoweb/fabrizio.lillo <http://fabriziolillo.wordpress.com/> phone: +39 050509159

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Postdoc positions
by Franco Flandoli 21 Apr '23

21 Apr '23

Dear colleagues, I am currently advertising two two-year Postdoc positions under the ERC advanced grant NoisyFluid, at Scuola Normale Superiore, in Pisa. Deadline for application: May 15 2023. The call is published at the link: https://amministrazionetrasparente.sns.it/bando/modelli-stocastici-della-tu… Information about the local research group on stochastic fluids and the ERC project can be found at the page https://sites.google.com/sns.it/franco-flandoli/home-page Please contact me for any additional information concerning the project and the call, and please transfer the announcement to other potential candidates. Thanks a lot! Best wishes, Franco Flandoli

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OWABC- Emtiyaz Khan - The Bayesian Learning Rule - April 27, 9.30am UK time
by Massimiliano Tamborrino 21 Apr '23

21 Apr '23

Dear all, The One World ABC Seminar series www.warwick.ac.uk/oneworldabc<http://www.warwick.ac.uk/oneworldabc> is about to resume. Our next speaker will be Emtiyaz Khan<https://emtiyaz.github.io/> (RIKEN), who will talk about "The Bayesian Learning Rule" on Thursday, April 27, 9.30am UK time, with an abstract reported below. The talk will be hosted on MS Teams here<https://teams.microsoft.com/l/meetup-join/19%3ameeting_Yjk5MDQyYWMtZmI3Yy00…>. Title: The Bayesian Learning Rule. Abstract Humans and animals have a natural ability to autonomously learn and quickly adapt to their surroundings. How can we design machines that do the same? In this talk, I will present Bayesian principles to bridge such gaps between humans and machines. I will show that a wide-variety of machine-learning algorithms are instances of a single learning-rule derived from Bayesian principles. I will also briefly discuss the dual perspective yielding new mechanisms for knowledge transfer in learning machines. My hope is to convince the audience that Bayesian principles are indispensable for an AI that learns as efficiently as we do. References * The Bayesian Learning Rule, (Preprint) M.E. Khan, H. Rue [ arXiv<https://arxiv.org/abs/2107.04562> ] [ Tweet<https://twitter.com/EmtiyazKhan/status/1414498922584711171?s=20> ] * Practical Deep Learning with Bayesian Principles, (NeurIPS 2019<https://nips.cc/Conferences/2019>) K. Osawa, S. Swaroop, A. Jain, R. Eschenhagen, R.E. Turner, R. Yokota, M.E. Khan. [ arXiv<https://arxiv.org/abs/1906.02506> ] [ Code<https://github.com/team-approx-bayes/dl-with-bayes> ] * Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models, (AIstats 2017<http://www.aistats.org/>) M.E. Khan and W. Lin [ Paper<https://arxiv.org/abs/1703.04265> ] Bio: Emtiyaz Khan (also known as Emti) is a team leader at the RIKEN center for Advanced Intelligence Project (AIP) in Tokyo where he leads the Approximate Bayesian Inference Team. He is also an external professor at the Okinawa Institute of Science and Technology (OIST). Previously, he was a postdoc and then a scientist at Ecole Polytechnique Fédérale de Lausanne (EPFL), where he also taught two large machine learning courses and received a teaching award. He finished his PhD in machine learning from University of British Columbia in 2012. The main goal of Emti’s research is to understand the principles of learning from data and use them to develop algorithms that can learn like living beings. For more than 10 years, his work has focused on developing Bayesian methods that could lead to such fundamental principles. The approximate Bayesian inference team now continues to use these principles, as well as derive new ones, to solve real-world problems. We are looking forward to seeing you next Thursday, best, Massimiliano on the behalf of the One World ABC Organisers ------ Dr. Massimiliano Tamborrino Associate Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino ------

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One Day Workshop on Risk Management - from Theory to Practice
by Stefano Bonaccorsi 21 Apr '23

21 Apr '23

Dear Colleagues, We are pleased to announce the workshop "Risk Management - From Theory to Practice" that will take place on Tuesday, May 2nd, at Cassa Centrale Banca, Via Giovanni Segantini, 23, 38122 Trento TN Program: 10:00 Giorgia Callegaro (Padova). Option Pricing: from Monte Carlo to Quantization 11:15 Emanuela Rosazza Gianin (Milano Bicocca): Risk measures beyond coherence 12:30 Lunch break 14:00 Fabio Bellini (Milano Bicocca): On the axiomatizations of Value at Risk, Expected Shortfall and expectiles 15:15 Elisa Mastrogiacomo (Insubria): Dynamic risk measures: dual representation, time-consistency and connections with Backward Stochastic Differential Equations} Organized by: Carlo Acerbi (Larix Risk Consulting) Stefano Bonaccorsi (Università di Trento) Sponsorship: Cassa Centrale Banca Participation is free of charge, but registration is mandatory. The registration deadline is April 28th 2023 (Friday) at 12:00. Please register via email at primer.maths(a)unitn.it Live streaming available on request, please contact the organizers at \ texttt{primer.maths(a)unitn.it} Risk Management – From theory to practice

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Summer School on "Statistical Mechanics and Stochastic PDEs" (Sep 11-15, 2023)
by Francesco Caravenna 20 Apr '23

20 Apr '23

Dear friends, this is the last announcement for the summer school "Statistical Mechanics and Stochastic PDEs" which will be held from Sep 11-15, 2023, in Cetraro, Italy. It belongs to the series of mathematics summer schools organised yearly by Fondazione CIME. The school aims to expose researchers to some of the latest developments in statistical mechanics and stochastic PDEs, as well as the connections between the two. The list of speakers and their updated course titles is: Massimiliano Gubinelli (Univ. Oxford, UK) - Constructive stochastic quantization Antti Kupiainen (Univ. Helsinki, Finland) - Constructive Conformal Field Theory: the case of the Liouville Model Ioan Manolescu (Univ. Fribourg, Switzerland) - An invitation to FK percolation Fabio Lucio Toninelli (Technical Univ. Vienna, Austria) - Large-scale behavior of (super-)critical stochastic PDEs We especially encourage the participation of PhD students and postdocs. A limited number of grants will be available to cover their local expenses (full board accommodation). Interested participants should submit their applications before Apr 30, 2023, through the school website: https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2023… <https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2023…> Some practical details on the location: https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2022… <https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2022…> Please feel free to circulate the information. The organisers, Francesco Caravenna, Rongfeng Sun, Nikos Zygouras -- _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy Office 3016, U5 building https://staff.matapp.unimib.it/~fcaraven/ _________________________________________

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Seminar: Federico Ricci Tersenghi at Tor Vergata
by salvi 19 Apr '23

19 Apr '23

Dear all, On Wednesday, April 26th, at 14h00 in Aula 2001 (change of usual room! Aula 2001 is behind Aula Dal Passo) at Roma Tor Vergata, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host Federico Ricci Tersenghi (La Sapienza) with the seminar _ _ _"Phase transitions and algorithmic thresholds for optimization and inference problems on sparse random graphs__"_ _ _ Abstract: Focusing on some fundamental constraint satisfaction problems defined on sparse random graphs (e.g. random k-sat, random q-coloring) I will start summarizing the rich phase diagram of the solution space which has been derived using powerful techniques from statistical mechanics of disordered systems. I will then discuss the implications of some of these phase transitions for the behaviour of smart algorithms searching for solutions. In the second part, I will consider the problem of inferring a signal from noisy and/or incomplete data within the Bayesian framework called the teacher-student scenario. I will discuss the corresponding phase diagrams and how phase transitions may affect the performances of inference algorithms based on message-passing and Monte Carlo sampling. We encourage in-person partecipation. Should you be unable to come, here is the link to the event on Teams [1]. The seminar is part of the Excellence Project MatMod@TOV. Note that in the next month we will have plenty more of interesting seminars from mathematicians and computer scientists, save the dates! 03.05.2023 - Pierluigi Crescenzi (GSSI) 09.05.2023 - Arturo Kohatsu-Higa (Ritsumeikan University, Kyoto) 17*.05.2023 - Daniele Calandriello (Google Deep Mind, Paris) 24.05.2023 - Rongfeng Sun (NUS, Singapore) *exact date to be confirmed You can find a schedule with the next events at the following link: https://www.mat.uniroma2.it/~rds/events.php. Links: ------ [1] https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…

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Pre-Doc research Position TU Wien
by Avalos Pacheco, Alejandra 19 Apr '23

19 Apr '23

Dear colleagues, The Research Unit of Applied Statistics at TU Wien invites applications for a Pre-Doc research Position. Tasks: * Conduct research leading to peer-reviewed articles and a PhD dissertation * Assist in teaching (including evaluations, exams and guidance of students) * Participation in scientific functions (conferences, workshops, summer schools, etc.) * Assistance/Collaboration in organization of research unit functions and administrative tasks Your profile: * Bachelor’s Degree in Mathematics (preferably) or related field * Completed Master’s Degree or equivalent (e.g., Dipl.-Ing., Dipl.-Inf.), preferably with distinction, in Statistics, Pure or Applied Mathematics, Computer Science or related fields * Strong analytical and computing skills (R, Python, C++, Matlab) * Strong interest in research * Good communication and writing skills in English The entry level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 2,458.00/month gross, 14 times/year for 30 hours/week. Relevant working experiences may increase the monthly income. Apply here: https://jobs.tuwien.ac.at/Job/207833 Best regards, Alejandra Avalos-Pacheco

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Call for applications: PhD fellowship in Economics @University of Milan (Statale), Italy
by Luca Rossini 19 Apr '23

19 Apr '23

Dear colleagues, The Department of Economics, Management, and Quantitative Methods (DEMM) of the University of Milano invites applications to its Ph.D. Programme in Economics for the academic year 2023-24. *The _deadline_ for applications is May 05th, 2023 at 2 p.m.* The official Call for Applications: https://apps.unimi.it/files/bandi/call-2024-1-economics.pdf?18-APR-23 Ph.D. program's webpage: https://www.unimi.it/en/education/postgraduate-and-continuing-education-pro… The length of the Ph.D. Programme is three years, starting in October 2023. We offer six fellowships (for a period of three years) to the highest ranked applicants. Each fellowship pays a minimum grant of € 16.350 (gross income, exempt from income tax) per year. The monthly allowance can be increased up to 50% for our Ph.D. students visiting academic or scientific institutions abroad. Starting from the first year, in addition to the scholarship and depending on the University’s financial resources, each doctoral student is given a budget for research activity in Italy and abroad suited for the type of programme, and in any case amounting to no less than 10% of the amount of the scholarship itself. The official Call for Applications contains detailed information on: i) the documents which each candidate has to submit; ii) the structure, contents, and timing (Interview in 23-25 May 2023) of the entrance examination; iii) a description of the projects related to the additional scholarships and positions. -- Dr. Luca Rossini Lecturer (Assistant Professor Tenure Track) in Statistics, Department of Economics, Management and Quantitative Methods University of Milan (Statale), Italy email:luca.rossini87@gmail.com luca.rossini(a)unimi.it skype: luca.rossini14 web:https://lucarossini.wixsite.com/luca-rossini

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Associate Professor in Statistics, Ca’ Foscari University of Venice, Italy
by Carlo Gaetan 19 Apr '23

19 Apr '23

Gentili iscritte/i alla lista l'Università Ca’ Foscari di Venezia bandisce un posto per professore associato settore concorsuale 13/D1 (Statistica), settore s-d SECS-S/01 (Statistica) presso il Dipartimento di Scienze Ambientali, Informatica e Statistica (DAIS). Il bando è finanziato dal programma "Dipartimento di eccellenza" e la scadenza per la presentazione delle domande è il*27 APRILE 2023 alle ore 13.00.* Richieste d'informazione informali possono essere inviate al mio collega Cristiano Varin (cristiano.varin(a)unive.it) , mentre per formulare la domanda si consideri il link* * ** https://www.unive.it/data/38002/?id=2023-UNVE000-0070510 Grazie se potete segnalare il bando alle/ai potenziali interessate/i e qui sotto vi riporto l'annuncio in inglese per favorire ancor di più la diffusione del bando. Buona giornata, Carlo Gaetan ======================= Associate Professor in Statistics, Ca’ Foscari University of Venice, Italy Application Deadline: April 27, 2023 1:00pm (Italian Time) The Department of Environmental Sciences, Informatics and Statistics of the Ca’ Foscari University of Venice is recruiting a full time Associate Professor in Statistics (SECS-S/01 Statistica). The new hire would join the Statistics group (https://www.unive.it/pag/41970/) and he/she is expected to contribute to the development of the department under the programme “Dipartimento di Eccellenza” (https://www.miur.gov.it/dipartimenti-di-eccellenza) The teaching load would include classes of varying size at bachelor, master and PhD level in Italian or English. Foreign candidates should state in their application that they have adequate Italian language skills or that they do not have adequate Italian language skills but they commit to achieve them. More information about the call (in Italian and English) can be found at https://www.unive.it/data/38002/?id=2023-UNVE000-0070510 Ca’ Foscari University offers a start-up fund for newly recruited researchers and offers funding opportunities, including: - an annual support to individual researchers; - co-founded post-doc positions; - financial support for short-term incoming and outgoing visits; - financial support for seminars and visiting scholars. Professors and researchers who have carried out their research activities abroad for at least two consecutive years and who move to Italy acquiring tax residency, are entitled to substantial tax benefits. See more at https://www.agenziaentrate.gov.it/portale/web/english/nse/individuals/tax-i…. Informal enquiries about the job and the application process can be made to Professor Cristiano Varin cristiano.varin(a)unive.it -- - Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS Università Ca' Foscari - Venezia Z.A12 - Edificio Zeta Via Torino, 155 I-30172 Mestre (VE) ITALY phone: ++39 041 234 8404 e-mail:[gaetan"at"unive"dot"it] web:[http://www.dais.unive.it/~gaetan] Please don't print this e-mail unless you really need to. Please avoid sending me Word, Excel or PowerPoint attachments. Seehttp://www.gnu.org/philosophy/no-word-attachments.html. Per favore non stampate questo messaggio se non è proprio necessario. Per favore non mandatemi allegati in Word, Excel o PowerPoint. Le ragioni sono spiegate quihttp://www.gnu.org/philosophy/no-word-attachments.it.html

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Mark Podolskij's seminar at LUISS (hybrid mode)
by Sara 17 Apr '23

17 Apr '23

Dear all, Professor Mark Podolskij ( https://wwwen.uni.lu/research/fstm/dmath/people/mark_podolskij) will give a seminar on *Thursday, April 20 at noon in room 205:* *Title * On Estimation of the Maximal Rank of Stochastic Volatility *Abstract* In this talk we address the question of how many Brownian motions are required to model a multivariate price process of diffusion type. It turns out that this question is equivalent to estimation of the maximal rank of the volatility component. We solve this mathematical problem in the high frequency regime and provide a formal estimation and testing procedure. If the time allows we touch upon high dimensional aspects of the problem. Please, find here the link to the seminar virtual room: Link room 205 B: https://luiss.webex.com/luiss-en/j.php?MTID=me3d961dc4b3575085d5d4b6a304e2d… guest username: w_guest(a)luiss.it pw : i7G3HiAKq2Q Best regards, Sara ---------------------------------------------------------------------------------------------- *Sara Biagini* Department of Economics and Finance *LUISS University* Address: Viale Romania, 32 00197 Roma *Web* (institutional): https://economiaefinanza.luiss.it/docenti/cv/352478 *Web* (personal): https://sites.google.com/site/sarabiagini/

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