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AMASES2022 - Call for submissions - Special Session: Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences
by Piero MAZZARISI 21 Apr '22

21 Apr '22

Dear Colleagues, a parallel session within the AMASES Annual Conference (https://amases2022.community.unipa.it/home <https://amases2022.community.unipa.it/home>) entitled "Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences" will take place on September 22-24, 2022 in Palermo. The session focuses on the emerging multidisciplinary study of the interconnections in finance and social science, which brings with it the necessity to deal with the growing amount of data available. A special emphasis is given to the latest advances in artificial intelligence and machine learning, which are expected to have a disruptive impact in economic, financial, and social data modeling. The special session intends to foster the dialogue between academics, regulators, and practitioners. Theoretical and empirical papers are welcome. Topics include but are not limited to: - contagion in social, economic, and financial networks - network modeling of financial time-series - big data approach to financial, economic, and social modeling - artificial intelligence, machine learning and natural language processing in social, economic, and financial systems It is a great pleasure to invite you to submit an extended abstract. The deadline for submission is June 13, 2022. The abstract submission Web page for AMASES 2022 is: https://easychair.org/conferences/?conf=amases2022 <https://easychair.org/conferences/?conf=amases2022> specifying that your paper should be considered for our special session. Please refer to the official web page of the conference for further details on the submission (https://amases2022.community.unipa.it/abstract-submission <https://amases2022.community.unipa.it/abstract-submission>). Important dates: June 13, 2022: Deadline for abstract submission June 27, 2022: Notification of acceptance For information, please contact: Fabrizio Lillo (fabrizio.lillo(a)unibo.it <mailto:fabrizio.lillo@unibo.it>) Michele Tumminello (michele.tumminello(a)unipa.it <mailto:michele.tumminello@unipa.it>) Piero Mazzarisi (piero.mazzarisi(a)sns.it <mailto:piero.mazzarisi@sns.it>) Best regards, Fabrizio Lillo, Michele Tumminello, and Piero Mazzarisi

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Fwd: I: Job Advert: 3 Doc (3-7 years) or PostDoc (4-7 years) positions at Dept. Math. of the Technical University of Munich on the topic mathematics of machine learning
by Marco Romito 21 Apr '22

21 Apr '22

ricevo e inoltro. m. ------------------------------------------------------------------------ *Da:* Massimo Fornasier <massimo.fornasier(a)ma.tum.de> *Inviato:* giovedì 21 aprile 2022 09:11 *A:* Massimo Fornasier *Oggetto:* Job Advert: 3 Doc (3-7 years) or PostDoc (4-7 years) positions at Dept. Math. of the Technical University of Munich on the topic mathematics of machine learning Dear Colleagues, I'm currently inviting candidates for * Doc/Postdoctoral Researcher (3-7 years), * starting July 1, 2022 or later. Please, would you forward this opening to interested candidates. See also the attached call. I'm intending to review applications immediately. Ideal candidates have § a master/doctoral degree in mathematics (exclusively degree in mathematics!) § a strong background in at least two of the following fields: machine learning, optimization, optimal control, nonlinear PDE, variational calculus, numerical analysis and algorithms, § some experience in numerical programming with Python,C/C++, Matlab or similar environments, § good command of the English language (knowledge of German is not required), and are interested in working on /mathematics of machine learning/. For more information please contact Prof. Massimo Fornasier (massimo.fornasier(a)ma.tum.de) Applications should be sent to toth-pinter(a)ma.tum.de with subject "Application for the Doc/PostDoc position mathematics of machine learning" and should include § a CV, with a list of publications (for postdoctoral researchers), § copies of degrees / university transcripts, § a motivational statement (at most one page) explaining the applicant's interest in the position as well as their relevant skills and experience, § names and email addresses of at least one (for doctoral researchers) or two (for postdoctoral researchers) professors that may provide letters of recommendation directly to the hiring committee. I thank you for your kind attention and cooperation. Best regards Massimo Fornasier P.S. Apologies for multiple posting.

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PhD in Economics, Statistics and Data Science (DEMS) - University of Milano-Bicocca
by Federico Camerlenghi 21 Apr '22

21 Apr '22

Dear all, The Department of Economics, Management and Statistics (DEMS) of the University of Milano-Bicocca invites applications to its *PhD Programme in Economics, Statistics and Data Science* for the academic year 2022-23 (XXXVIII cycle). *PhD programme* The PhD Programme is articulated in three curricula: - Economics (ECO), - Statistics (STAT), - Big Data & Analytics for Business (BIDAB). The length of the PhD Programme is *four years*, starting in late October 2022. *Fellowships* We offer at least ten fellowships (for a period of four years) to the highest ranked applicants. Each fellowship pays a grant of a minimum of €16.200 (gross income) per year. The monthly allowance can be increased up to 50% for our PhD students visiting academic or scientific institutions abroad. There will also be allowances (research funds) for short-period mobility (from the first year). Additional scholarships and positions are also available on specific research projects in collaboration with national and international companies of primary importance. *Selection procedure* The selection procedure is regulated by the official Call for Applications (Bando di Concorso), which can be found starting from *April 21st* at the link: https://en.unimib.it/education/doctoral-research-phd-programmes/applying-do… The official Call for Applications contains detailed information on: i) the documents which each candidate has to submit; ii) structure, contents and timing (approximately during June 2022) of the entrance examination; iii) description of the projects related to the additional scholarships and positions. *Important links* Website of the PhD: https://www.dems.unimib.it/en/research/phd-programme Application procedure: https://en.unimib.it/education/doctoral-research-phd-programmes/applying-do… Best regards, Federico Camerlenghi -- Federico Camerlenghi Assistant Professor RTDb Department of Economics, Management and Statistics University of Milano Bicocca, Milano, Italy. web-page: https://www.unimib.it/federico-camerlenghi

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New Professor Position at Luxembourg University.
by Giovanni Peccati 20 Apr '22

20 Apr '22

Dear All, a new *Associate/Full Professor position in Mathematics* is open at *Luxembourg University*, see the webpage: http://emea3.mrted.ly/31ge1 The position has a large scope: in particular, specialists in Probability Theory are encouraged to apply. The deadline is *June 15th, 2022*. 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

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Environment and sustainability: new challenges and perspectives for Statistics - Politecnico di Milano
by Laura Maria Sangalli 20 Apr '22

20 Apr '22

#VERSOILFESTIVALDELLASTATISTICA22 Scadenza registrazione per partecipazione in presenza: *** Giovedì 21 Aprile *** Environment and sustainability: new challenges and perspectives for Statistics Martedì 3 maggio 2022 ore 14.00 Politecnico di Milano Intervengono: Prof. Pedro Delicado, Universitat Polytecnica de Catalunya “Wildfires vegetation recovery through satellite remote sensing and functional data analysis” Prof. Alessandro Fassò, Università degli Studi di Bergamo "Statistical modelling of COVID-19 impact on maritime carbon emissions” Prof. Piercesare Secchi, Politecnico di Milano "Environment and sustainability: new challenges and perspective for Statistics” Tavola rotonda, presieduta da Piercesare Secchi, con la partecipazione di Corrado Crocetta, Presidente della Società Italiana di Statistica, e di membri del Comitato Scientifico di GRASPA Dettagli e registrazione a https://www.mate.polimi.it/events/statfest/ —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

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PhD course on Rough Paths at Rome Tor Vergata
by Lucia Caramellino 19 Apr '22

19 Apr '22

Dear All, during May, prof. Vlad Bally (Université Gustave Eiffel) will be Visiting Professor at the University of Rome "Tor Vergata". During his stay, he will give a PhD course entitled Introduction to rough paths. Information about the course - program, references, schedule etc. - can be found at http://www.mat.uniroma2.it/~caramell/roughpaths2022.htm <http://www.mat.uniroma2.it/~caramell/roughpaths2022.htm> The course will be held in blended form (in presence and online) from May 4th to May 26th. The lectures will be streamed via Microsoft Teams. Please write me an email if you are interested in being included in the Teams classroom of the course or in receiving the link to follow the lessons. Best regards, Lucia +++++++++++++++++++++++++++++++++ Lucia Caramellino Dipartimento di Matematica Università di Roma “Tor Vergata” Web: http://www.mat.uniroma2.it/~caramell

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Seminario Venerdì 22 - Seonwoo Kim (Seoul National University)
by Gianmarco Bet 19 Apr '22

19 Apr '22

Gentili colleghe e colleghi, Vi segnalo con piacere il seguente seminario che si terrà Venerdì 22 Aprile dalle 9:30 alle 10:30 in modalità mista. Location: Aula 215, Plesso Morgagni, Viale Giovan Battista Morgagni 40, 50134 Firenze Link alla videochiamata: https://meet.google.com/rps-uiyj-bhj <https://meet.google.com/rps-uiyj-bhj> Speaker: Seonwoo Kim (Seoul National University) Title: Metastability of Ising/Potts models on lattices in the low-temperature regime Abstract: In this talk, I will discuss metastability of the Ising/Potts model with zero external field in two or three dimensions. Metastable transitions in the case of zero field occur along a large saddle plateau, which can be divided into bulk and edge parts. Transitions on the bulk part are one-dimensional and thus easy to analyze, whereas transitions on the edge part are much more complex. In two dimension, I will characterize them in a very precise manner. On the other hand in three dimension, it is impossible to find such a precise characterization and thus I present an alternative abstract method to analyze the metastable behavior. This talk is based on a joint work with Insuk Seo at Seoul National University. Cordiali saluti, Gianmarco Bet ---------------------------------------------------------------------- Gianmarco Bet (he/him) Junior researcher https://gianmarco.bet Phone: (+39) 055 2751491 Department of Mathematics and Informatics "U. Dini" University of Florence Viale Morgagni, 65 50134 Firenze, Italy Office 64 ----------------------------------------------------------------------

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Scientific ASA 2022 conference on Data-Driven Decision Making
by Marta Nai Ruscone 15 Apr '22

15 Apr '22

On behalf of Enrico Di Bella (University of Genoa). Apologies for cross-posting.... CALL FOR PAPERS Association for Applied Statistics ASA 2022: “Data Driven Policy Making” Genoa, Italy, September 12-14, 2022 https://asa2022.unige.it/ <https://asa2022.unige.it/> regularly updated with news Dear Colleagues, I am pleased to announce the next ASA 2022 Conference (Association for Applied Statistics) “Data Driven Policy Making” that will take place from September 12th to 14th, 2022, hosted by the University of Genoa <https://asa2022.unige.it/node/4>, Genoa, Italy. Submit your contribution through EasyChair: https://easychair.org/my/conference?conf=asa2022 <https://easychair.org/my/conference?conf=asa2022> Instruction for the authors available at: https://asa2022.unige.it/node/6 <https://asa2022.unige.it/node/6> I am pleased to take this opportunity to wish you and your beloved ones Happy Easter holidays. Best regards, Marta Nai Ruscone (Local Organising Commitee) ———————————————————————————————— Important Dates ———————————————————————————————— Abstract submission deadline (max 300 words): April 30, 2022 Early registration deadline: June 31, 2022 Short paper submission (with ISBN): July 15, 2022 ———————————————————————————————— For more information, please feel free to contact asa2022(a)unige.it <mailto:asa2022@unige.it> or visit the conference website https://asa2022.unige.it/ <https://asa2022.unige.it/>. ———————————————————————————————— *** --- *** <> Marta Nai Ruscone Department of Economics - DIEC University of Genova. Via Vivaldi, 5. 16126 Genova (GE). Italy

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Seminar in Statistics - JOHANNES SCHMIDT-HIEBER
by Pierpaolo De Blasi 15 Apr '22

15 Apr '22

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 22 Aprile 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Johannes Schmidt-Hieber* (University of Twente) Title: *A theoretical comparison of deep learning and Bayes with deep Gaussian process priors* Abstract: Deep neural networks have received a lot of attention recently and considerable progress has been made to build an underlying mathematical foundation. In a first part of the talk, we summarize some statistical convergence results. Deep Gaussian process priors can be viewed as continuous analogues of Bayesian neural networks and this raises the question whether there is a closer link with deep learning. In the second part of the talk, we show that the posterior for a suitable deep Gaussian process prior can achieve fast posterior contraction rates and discuss the connection with deep learning. This is joint work with Gianluca Finocchio. ------------------------------------------------ In ottemperanza alle norme anti Covid, per partecipare in presenza è necessario prenotarsi tramite il seguente form online: https://forms.gle/wxwecLUnpZ2GEsWh9 Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/83612787995?pwd=SE1CR2ZGdmxxZmNWUmx2WS9XNXdtdz09> Meeting ID: 836 1278 7995 Passcode: 612986 Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats Cordiali saluti, Pierpaolo De Blasi -- Pierpaolo De Blasi University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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Seminario di Probabilità
by Paolo Dai Pra 15 Apr '22

15 Apr '22

Cari colleghi, vi invito al seguente seminario. Date: 20 Aprile 2022, 14:30 Venue: Ca’ Vignal 2, Università di Verona, Aula G Speaker: Luisa Andreis, Università di Firenze Title: An introduction to phase transitions in coagulation processes and random graphs Abstract: Sparse inhomogeneous random graphs are a natural generalization of the well-known Erdos Renyi random graph, where vertices are characterized by a type and edges are independent but distributed according to the type of the vertices that they are connecting. These graphs undergo a phase transition in terms of the emergence of a giant component exactly as the classical Erd ̋os Renyi model. In this talk we will introduce an alternative approach, via large deviations, to prove this phase transition. This allows a comparison with the gelation phase transition that characterizes coagulation processes and the phase transition of condensation type emerging in several systems of interacting components. Paolo Dai Pra Paolo Dai Pra Dipartimento di Informatica Università degli Studi di Verona Strada Le Grazie 15, 37134 Verona, Italy Tel. +390458027093

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