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Open Postdoc Position in the are of mathematical Finance at the University of Vienna
by viktoria.schildhammer＠univie.ac.at 17 May '24

17 May '24

Dear All, this is to inform about an open Postdoc position at the department of Statistics and Operations Research at the University of Vienna, in the working group of Prof. Cuchiero. The University of Vienna, Department of Statistics and Operations Research, invites applications for the position of a Post-Doc (2 years, 40h) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The post-doctoral researcher will work in the group of the START research project "Universal structures in Mathematical Finance", led by Prof. Christa Cuchiero. The focus of the project lies on universal structures that pertain literally to both, mathematics and finance. *Deadline for applications: June 15, 2024.* Further information can be found here: https://jobs.univie.ac.at/job-invite/2493/ Please foward this message to any interested person. Thank you and best wishes Viktoria Schildhammer

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Open Praedoc Position in the are of mathematical Finance at the University of Vienna
by viktoria.schildhammer＠univie.ac.at 17 May '24

17 May '24

Dear All, this is to inform about an open Praedoc position at the department of Statistics and Operations Research at the University of Vienna, in the working group of Prof. Cuchiero. The University of Vienna, Department of Statistics and Operations Research, invites applicants for the position of one to two Prae-Docs (3 year appointment, 30 hours) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The pre-doctoral researcher will work in the group of the START research project "Universal structures in Mathematical Finance", led by Prof. Christa Cuchiero. The focus of the project lies on universal structures that pertain literally to both, mathematics and finance *Deadline for applications: June 15, 2024.* Further information can be found here: https://jobs.univie.ac.at/job-invite/2491/ Please foward this message to any interested person. Thank you and best wishes Viktoria Schildhammer

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3-year Post-doctoral Position on Stochastic Games at Bielefeld University
by Ferrari, Giorgio 17 May '24

17 May '24

Dear All, this is to inform about a *3-year post-doctoral position* in my group at the Center for Mathematical Economics of Bielefeld University (salary level TVL-13, 100%). The post-doctoral researcher will conduct research on stochastic games (with N players or of mean-field type) wiith singular controls, as well as on mean-field control problems. *Deadline for applications: June 12, 2024.* Further information can be found here: https://jobs.uni-bielefeld.de/job/view/3392/research-position-postdoc?page_… Please foward this message to any interested person. Best wishes and thanks, Giorgio Ferrari

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23 mag 2024 - Seminario Dr. Ivana Pavlu
by Enea Bongiorno 17 May '24

17 May '24

Carissimi colleghi, scusandomi per eventuali invii multipli, vi inoltro il seguente annuncio di seminario. Tutti gli interessati sono invitati a partecipare. Cordialmente, Enea Bongiorno -------------------------------- - data e orario: 23 maggio 2024 ore 15.00 - aula 204, campus Perrone, via Perrone, 18, Novara. Università del Piemonte Orientale. - on-line: meet.google.com/iap-gjcr-bkb Title: *Regression analysis with density functions in Bayes spaces* *Ivana Pavlů*, Palacký University Olomouc, Czech Republic *Abstract*: Regression analysis offers tools for explaining the relation between (a set of) dependent and independent variables. Recent advances extend the available response types from uni- or multivariate to functional, and more recently also distributional responses. For functional distributions, often represented through probability density functions, the Bayes space framework was developed to respect the relative information they carry. The Hilbert space structure of Bayes space enables one to utilize standard methods of functional data analysis for the use on - properly transformed - density functions. Focusing on regression analysis, it is possible to construct adequate models with densities on the side of both the dependent and independent variables. In this seminar, a brief overview of regression models for univariate densities will be presented. A closer attention will be given to the possible generalization of additive regression model for bivariate distributions. Finally, an outlook at the Bayesian inference in linear regression with probability densities will be discussed. All proposed methods will be demonstrated on real data from the fields of geochemistry and demographics. ----------------------------------- Locandina dell'evento <https://drive.google.com/file/d/1AW4P1_HNdVO7Ot70mjM-KCQLhnSSVmRi/view?usp=…> Seminari Matematici Statistici <https://seminari-ms.uniupo.it/home-page> ----------------------------------- -- Enea G. Bongiorno, Università degli Studi del Piemonte Orientale - Amedeo Avogadro Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno ------ Math-Stat Seminars at UPO seminari-ms.uniupo.it/home-page ------

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talk Prof. Domenico Marinucci on May 29 - DIMA - UNIGE
by Ernesto De Vito 16 May '24

16 May '24

Dear all, you are all invited to participate to the following seminar. Speaker : Domenico Marinucci (https://sites.google.com/view/domenicomarinucci/home) Affiliation: Dipartimento di Matematica - Università Roma Tor Vergata Title: Spectral complexity of deep neural networks Date: Monday, May 29, 2024 at 11.30 Place: Aula 704 (7th floor) , Dipartimento di Matematica at University of Genova, Via Dodencaneso 35, Abstract: It is well-known that randomly initialized, push-forward, fully-connected neural networks weakly converge to isotropic Gaussian processes, in the limit where the width of all layers goes to infinity. In this paper, we propose to use the angular power spectrum of the limiting fields to characterize the complexity of the network architecture. In particular, we define sequences of random variables associated with the angular power spectrum, and provide a full characterization of the network complexity in terms of the asymptotic distribution of these sequences as the depth diverges. On this basis, we classify neural networks as low-disorder, sparse, or high-disorder; we show how this classification highlights a number of distinct features for standard activation functions, and in particular, sparsity properties of ReLU networks. Our theoretical results are also validated by numerical simulations. Joint work with Simmaco Di Lillo, Michele Salvi e Stefano Vigogna Best wishes, Ernesto --------------------- Ernesto De Vito DIMA - Dipartimento di Matematica MaLGa - Machine Learning Genoa center Via Dodecaneso 35 16146 Genova Italy e-mail: ernesto.devito(a)unige.it tel: +390103536783

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assegno con Fincantieri su algoritmi quantistici per Navier Stokes
by Giacomo De Palma 15 May '24

15 May '24

Cari tutti, ho appena pubblicato il seguente bando per un assegno di ricerca di 15 mesi all’università di Bologna su un progetto in collaborazione con Fincantieri (https://www.fincantieri.com/it/) riguardante simulazioni numeriche di algoritmi quantistici per le equazioni di Navier-Stokes: https://bandi.unibo.it/ricerca/assegni-ricerca?id_bando=67830 L’assegno prevede uno stipendio competitivo di circa 2000€ netti al mese. È richiesta solo la laurea magistrale, ma un’esperienza in simulazioni numeriche di algoritmi quantistici è preferibile. I candidati possono allegare alla domanda fino a due lettere di referenza. La presa di servizio è prevista per il 1° giugno, e la scadenza del bando è il 21 aprile. Vi sarei grato se inoltraste l’avviso a potenziali interessati. Un caro saluto, Giacomo

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ISBA World 2024 - Regular Registration Closing May, 31
by Roberto CASARIN 15 May '24

15 May '24

Dear Colleagues, We kindly remind you that the ISBA 2024 World Meeting is approaching. *The regular registration fee will remain available until May 31*. More detailed information is available at: https://www.unive.it/isba2024 ISBA2024 is organized by the International Society for Bayesian Analysis ( ISBA <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>) in collaboration with the Venice Centre in Economic and Risk Analytics (VERA <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>) at Ca’ Foscari University of Venice. Looking forward to meeting you in Venice! Best regards, The ISBA World 2024, Local Organizing Committee. ------------------------------ 31st World Meeting ISBA 2024July 1st - July 7th, 2024Ca’ Foscari University, San Giobbe Campus, Venice, Italy The ISBA world meetings bring together the international statistical community of researchers and professionals who develop Bayesian methods and apply them to challenging problems in different fields, ranging from economics and finance to business, industry, biostatistics, pharmaceutical statistics, environmental statistics, etc. *Supported by*: Ca' Foscari University of Venice, Department of Economics, Venice Centre in Economic and Risk Analytics (VERA), Fondazione Università Ca' Foscari. *Under the auspices of:* Ministero dell'Università e della Ricerca (MUR), Regione del Veneto, Città Metropolitana di Venezia, Città di Venezia, Istituto Veneto di Scienze, Lettere ed Arti, Società Italiana di Econometria (SIdE), Società Italiana di Matematica Applicata e Industriale (SIMAI), Società Italiana di Statistica (SIS), Gruppo Nazionale per l'Analisi Matematica la Probabilità e le loro Applicazioni (INDAM-GNAMPA). *Main Sponsors*: Eurizon Asset Management, Generali, University of Michigan School of Public Health (Dept. of Biostatistics), United States National Sciences Foundation, University of California Los Angeles (Dept. of Biostatistics). *Other Sponsors:* Collegio Carlo Alberto (de Castro Statistics Initiative), University of Texas at Austin (Dept. of Statistics and Data Sciences), Duke University (Dept. of Statistical Science), G-Research, SAS, STATA, Università Bocconi (Dept. of Decision Sciences), European Datawarehouse, Pfizer, Posit, Brown University School of Public Health, INDAM-GNAMPA, CRC press, Springer Verlag. *Scientific Committee**:* Sinead Williamson <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…> (Chair), University of Texas at Austin/Apple Sergios Agapiou <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, University of Cyprus Trevor Campbell <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, University of British Columbia Roberto Casarin <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, Ca’ Foscari University of Venice Luis Mauricio Castro Cepero <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, Pontificia Universidad Católica de Chile Christopher Drovandi <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, Queensland University of Technology Daniele Durante <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, Bocconi University Hedibert Freitas Lopes <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, Institute of Educatio and Research Emtiyaz Khan <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, RIKEN Center Matthias Katzfuss <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, University of Wisconsin-Madison Juhee Lee <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, University of California Santa Cruz David Nott <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, National University of Singapore Stéphanie van der Pas <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, Amsterdam UMC Bruno Sansó <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, University of California Mike West <https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BC…>, Duke University -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ https://www.unive.it/vera <https://www.unive.it/isba2024> https://www.unive.it/isba2024

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Seminar: Bayesian network structural learning from complex survey data - P. Vicard
by Mira Antonietta 15 May '24

15 May '24

On behalf of Prof Di Serio I am sharing the following announcement ———————- The Statistical Network Science committee of the Bernoulli Society invites you to an online talk this week Thursday: Thursday May 16 2-3 pm UK time Title: Bayesian network structural learning from complex survey data Statistical Network Science Seminar Series- Bernoulli Society Speaker: Paola Vicard (Department of Economics, Università Roma Tre, Rome, Italy) Abstract: The association structure of a Bayesian network can be known in advance by subject matter knowledge or have to be learned from a database. One of the most widely used procedures is the PC algorithm consisting in carrying out several independence tests on the available data set and in building a Bayesian network according to the tests results. In case of data driven learning, the PC algorithm is based on the irremissible assumption that data are independent and identically distributed. Unfortunately, official statistics data are generally collected through complex sampling designs, then the aforementioned assumption is not met. In such a context the PC algorithm fails in learning the structure. To avoid this, the sample selection must be taken into account in the structural learning process. A modified version of the PC algorithm is proposed for inferring causal structure from complex survey data. It is based on resampling techniques for finite populations. A simulation experiment showing the robustness with respect to departures from the assumptions and the good performance of the proposed algorithm is carried out. (Joint work with Daniela Marella, Sapienza Università di Roma) Zoom link https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fzoom.us%2…<https://zoom.us/j/99820613967> Meeting ID: 998 2061 3967 Passcode: 850644 All welcome Clelia Di Serio and Gesine Reinert

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avviso di seminario di A. Buonocore e L. Caputo
by Antonio DI CRESCENZO 14 May '24

14 May '24

scusandomi per invii multipli... ---------- Forwarded message --------- *UNIVERSITA' DI SALERNO* *Dipartimento di Matematica* AVVISO DI SEMINARIO *Speaker*: *Aniello* *BUONOCORE *e *Luigia* *CAPUTO* (Dipartimento di Matematica e Applicazioni, Università di Napoli Federico II) *Titolo*: *Il tema "Dati e Previsioni" presente nelle Indicazioni Nazionali e nelle Linee Guida è: un problema oppure una risorsa da valorizzare?* *Data*: mercoledì 15 maggio 2024, ore 11:30 *Luogo*: Sala Riunioni, Edificio F2, piano 1, stanza 36, e su Teams, al link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ Yjc2NjU5ZDEtOTQ3YS00YzcyLTg3MTItNzRlMDg4YWU2Nzli%40thread. v2/0?context=%7b%22Tid%22%3a%22c30767db-3dda-4dd4-8a4d- 097d22cb99d3%22%2c%22Oid%22%3a%2261e4e421-60a6-4cb9-8153-d04cb91c1edf%22%7d *Abstract* Per il tema "Dati e Previsioni" si propone l'impostazione didattica basata sui problemi. In particolare, si propone di utilizzare, in maniera appropriata e con la finalità di sollecitare le abilità comunicative ed argomentative, alcuni problemi e paradossi della probabilità condizionata che nel corso del tempo sono stati occasione di discussioni vivaci e intriganti. I problemi selezionati e sperimentati nel corso degli ultimi anni in classi della scuola secondaria, nei quali l'enfasi è posta soprattutto sul significato dei simboli e delle formule, forniscono anche un modo per stimolare gli obiettivi di "processo" (argomentare e dimostrare, comunicare, rappresentare, collegare) spesso trascurati a favore dei soli obiettivi di "contenuto". Una tale modalità operativa può essere d'aiuto sia agli insegnanti per mitigare le difficoltà che loro stessi soventemente riscontrano nella concettualizzazione (ovvero quella discontinuità tra i processi cognitivi degli studenti e l'astrazione) e sia agli stessi studenti per meglio orientarsi quando le circostanze della vita quotidiana sicuramente lo richiederanno. Gli interessati sono cordialmente invitati a partecipare, *Antonio Di Crescenzo* *Barbara Martinucci* *Alessandra Meoli* *Serena Spina*

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SAVE THE DATE - Tavola rotonda su "Iperautorialità e riviste predatorie" - 29 maggio 2024 - ore 15
by ANDREA CONSIGLIO 14 May '24

14 May '24

Cari Colleghi, vi ricordiamo l’appuntamento per tavola rotonda su "Iperautorialità e Riviste Predatorie" L’evento è fissato per il 29 maggio alle ore 15:00 CET, presso l'Aula delle lauree della Facoltà di Economia. Potrete seguire la discussione online tramite una piattaforma telematica: https://uniroma1.zoom.us/j/84228305285 Per la partecipazione in presenza, si prega di registrarsi entro e non oltre il 20/05/2024 https://bit.ly/AMASES-TavolaRotonda Contiamo sulla vostra numerosa partecipazione. Cordiali saluti, Il Comitato Scientifico AMASES %%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Tavola Rotonda: Iperautorialità e Riviste Predatorie Data e Luogo: 29 maggio 2024, ore 15.00, Aula delle lauree, Facoltà di Economia, via Castro Laurenziano 9, Roma. Saluti Istituzionali: Giovanni Di Bartolomeo, Preside Facoltà di Economia, Università di Roma "La Sapienza" Andrea Consiglio, Presidente AMASES, Università di Palermo Partecipanti: Santo Fortunato, Indiana University Giulia Iori, Università di Venezia "Cà Foscari" Marco Malgarini, ANVUR Angelo Pezzullo, Università Cattolica Angela Santoni, Commissione Etica, Università di Roma "La Sapienza" Francesco Sylos Labini, CREF Moderatore: Marco Li Calzi, Università di Venezia "Cà Foscari" Andrea Consiglio Università di Palermo Dipartimento di Scienze Economiche, Aziendali e Statistiche. Viale delle Scienze, Edificio 13 90128 Palermo, Italy tel:++39-09123895228 fax:++39-091485726 skype: conan_66 email:andrea.consiglio@unipa.it<mailto:email%3Aandrea.consiglio@unipa.it> pec:andrea.consiglio@pec.it<mailto:pec%3Aandrea.consiglio@pec.it> www:http://bit.ly/AndreaConsiglio

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