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Master of Science in Economics (University of Rome "Tor Vergata")
by Paolo Gibilisco 22 May '20

22 May '20

Dear Colleagues, please find enclosed some information on the Master of Science in Economics of the Department of Economics and Finance of the University of Rome “Tor Vergata”. Do not hesitate to contact me if you need further information. Best regards Paolo Gibilisco Associate Professor Department of Economics and Finance University of Rome “Tor Vergata” Via Columbia 2, Rome, 00133, Italy Phone: +39-06-72595956 Email: paolo.gibilisco(a)uniroma2.it <mailto:paolo.gibilisco@uniroma2.it> Home page: https://economia.uniroma2.it/def/faculty/142/gibilisco-paolo <https://economia.uniroma2.it/def/faculty/142/gibilisco-paolo#> ----------------------------------------------------------------------------------------------------- Dear Colleague, I am pleased to announce the 2020/2021 edition of the Master of Science in Economics <https://economia.uniroma2.it/master-science/economics> at the Department of Economics and Finance of Tor Vergata University of Rome. I would be grateful if you could help me spread the information about our program and recommend us to your most talented and motivated students. The MSc Economics (LM-56) is a two-year graduate program entirely taught in English and designed for highly qualified students. It provides students with a thorough knowledge and understanding of the concepts, tools and methods of economics, together with the application of these methods to the analysis of economic problems. We are committed to providing our students with high quality teaching from some of the best in the Department, which was recognized as a department of excellence by the MIUR. We have already prepared contingency plans, including options for studying remotely, in the event that our standard practices must be changed due to the COVID-19 epidemic. An important characteristic of the program is that we follow our students closely. They are provided with academic support and a personal tutor who follows them throughout the entire program. Moreover, annual extra-curricular initiatives are organized to strengthen their professional skills and to allow easy access to employment or further academic opportunities. We offer study grants for the best students enrolling in the first year as well as monetary awards to the best-performing first-year students. Selected second-year students have the opportunity to attend a Dual Degree Program in partnership with the University of Gothenburg or the University of Konstanz. Additional funding is also awarded to students to encourage participation in Summer Schools, database purchases, GRE test and MATLAB Associate Level Certification. The MSc Economics is the ideal program for those who want to acquire advanced analytical skills to pursue a career in national and international institutions, or who want to prepare for a Ph.D. program in Economics. The excellent placement of our graduates may be consulted on the employment statistics page <https://economia.uniroma2.it/master-science/economics/employment-statistics…> and on the Alumni page <https://economia.uniroma2.it/master-science/economics/Alu/> of our website. Applications are currently open for the 2020/2021 academic year. The application deadline is June 30, 2020 for non-EU students and August 16, 2020 for EU students. The Call for applications is available here <https://economia.uniroma2.it/master-science/economics/admissions/>, feel free to share this link with interested candidates and other colleagues from your institution. I will be available to provide additional information during the Online Open Day on June 16, 2020 <https://economia.uniroma2.it/cal/855/msc-economics-online-open-day#.XsVCUC-…> at 5pm on Microsoft Teams. Should you wish to have additional information or discuss anything related to the program, please do not hesitate to contact me. Best regards, Alberto Iozzi Master of Science in Economics, Director ----------------------------------------------------------------- Prof. Alberto Iozzi Department of Economics and Finance Tor Vergata University of Rome Via Columbia 2, 00133 Rome - Italy Tel. +39 06 7259 5923 Fax + 39 06 2040 219 Webpage: sites.google.com/view/albertoiozzi/home <https://sites.google.com/view/albertoiozzi/home> ----------------------------------------------------------------

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Webinar RIGON
by Pierpaolo De Blasi 22 May '20

22 May '20

WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/research/webinars/> Venerdì 29 Maggio 2020, alle ore 15:00, si terrà il seguente webinar: ------------------------------------------------ Tommaso RIGON (Duke University) *A generalized Bayes framework for probabilistic clustering* Abstract: Clustering methods such as k-means and its variants are standard tools for finding groups in the data. However, despite their huge popularity, the underlying uncertainty can not be easily quantified. On the other hand, mixture models represent a well-established inferential tool for probabilistic clustering, but they are characterized by severe computational bottlenecks and may have unreliable solutions in presence of misspecifications. Instead, we rely on a generalized Bayes framework for probabilistic clustering based on Gibbs posteriors. Broadly speaking, in such a setting the log-likelihood is replaced by an arbitrary loss function and this arguably leads to much richer families of clustering methods. Our contribution is two-fold: first, we describe a clustering pipeline for efficiently finding groups and then quantifying the associated uncertainty. Second, we discuss two broad classes of loss functions which have advantages in terms of analytic tractability and interpretability. Specifically, we consider losses based on Bregman divergences and pairwise dissimilarities and we show they can be interpreted as profile and composite log-likelihoods, respectively. Full Bayesian inference is conducted via Gibbs sampling but efficient deterministic algorithms are available for point estimation. As an important byproduct of our work, we show that several existing clustering approaches can be interpreted as generalized Bayesian estimators under specific loss functions. Hence, our methodology can be also used to formally quantify the uncertainty in widely used clustering approaches. (joint work with Amy Herring and David Dunson, Duke University) ------------------------------------------------ Chiunque volesse collegarsi al webinar è pregato di inviare una email entro mercoledi 27 Maggio a pierpaolo.deblasi(a)unito.it Il webinar è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats in collaborazione con il Collegio Carlo Alberto. 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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LMS Invited Lecture Series 2020
by Enrico Scalas 21 May '20

21 May '20

Car* collegh*, vi segnalo questo evento on-line: LMS Invited Lecture Series 2020 Fractional Calculus and Fractional Stochastic Calculus, Including Rough-Paths, with Applications, 15 Jun, 09:00 – 19 Jun, 16:00 https://www.lms2020.boguslavsky.net/ con lezioni di Yulia Mishura, Taras Shevchenko National University of Kyiv, Ukraine e vari seminari su temi correlati. Dalla pagina web e' possibile registrarsi. Cordiali saluti, Enrico Scalas

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Postdoc position in Vienna
by Ulisse Stefanelli 21 May '20

21 May '20

Dear Colleagues, I would like to bring to your attention a postdoc opening (University Assistant) in Vienna, details are below. Kind regards Ulisse Stefanelli ************************************************ The Faculty of Mathematics of the University of Vienna is inviting applications for a University-Assistant position (postdoc), limited to 3 years. We are looking for a highly qualified researcher with strong background in calculus of variations or evolution equations, also of stochastic type. The start date is 1.7.2020 or as soon as possible thereafter. The position comes with max. 4h of teaching per week, mostly exercise classes. The monthly gross salary is in the range 3.8-4.3 K€, depending on the experience level. Applications have to be submitted via the jobcenter of the University of Vienna: https://personalwesen.univie.ac.at/jobs-recruiting/job-center/ by navigating to 'Aktuelle Stellenausschreibungen', reference number 10846. Informal enquiries to ulisse.stefanelli(a)univie.ac.at ________________________________________ Ulisse Stefanelli (Univ.-Prof., PhD) Faculty of Mathematics, University of Vienna Oskar-Morgenstern-Platz 1,1090 Vienna, Austria ulisse.stefanelli(a)univie.ac.at ________________________________________

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Annuncio Convegno Online
by Enrica Pirozzi 20 May '20

20 May '20

Carissimi nei pomeriggi dei giorni 1-2 e 8-9 Luglio si terrà in modalità online un workshop dal titolo: "Kick-Off Meeting of Prin 2017 Project: Stochastic Models for Complex Systems" (PRIN articolato nelle sedi di Lecce, Salerno e Napoli) dedicato alla presentazione dei primi risultati scientifici ottenuti nell'ambito del progetto. Per tutti i dettagli vi invitiamo a collegarvi al sito dedicato seguendo il link qui sotto: https://sites.google.com/view/kick-off-meeting/home Cari saluti Roberta Schiattarella, Mariella Longobardi, Nello Buonocore, Igia Caputo, Enrica Pirozzi. -- Enrica Pirozzi Dipartimento di Matematica e Applicazioni Universita' di Napoli FEDERICO II Via Cintia, Monte S.Angelo, 80126, NAPOLI, ITALY Tel. 081 675634 https://www.docenti.unina.it/ENRICA.PIROZZI

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Posizione RTD-B in Machine Learning presso la Scuola IMT Lucca
by Irene Crimaldi 20 May '20

20 May '20

Caro Collega, la Scuola IMT Lucca (www.imtlucca.it) sta valutando l'opportunità di bandire a breve una posizione di ricercatore a tempo determinato di tipo B nell'area del Machine Learning. Dato che il tema è affrontato da varie comunità scientifiche, il settore scientifico disciplinare nel quale bandire verrà scelto a valle della raccolta di espressioni di interesse. Chiunque fosse interessato alla posizione di cui sopra è pregato di inviare al decano, Prof. Rocco De Nicola (rocco.denicola(a)imtlucca.it) un cv e un breve *statement* motivazionale, *preferibilmente entro il 15 giugno 2020.* Di seguito riporto il profilo che è stato recentemente deliberato dagli organi della Scuola. Pregherei di inoltrare questo messaggio a chiunque fosse a conoscenza di potenziali interessati. Rimango a disposizione per qualsiasi altro dettaglio. Cari saluti, Irene Crimaldi --------PROFILO: L'assunzione di un esperto di Machine Learning è finalizzata ad accrescere le competenze sui metodi quantitativi per lo sviluppo di modelli di sistemi dinamici e alla loro previsione, regolazione e ottimizzazione, della Scuola IMT. Questa figura da un lato alimenterà l’arsenale di competenze metodologiche della Scuola e dall'altro lato sarà funzionale a fornire strumenti quantitativi alle aree dell'economia e del management nonché dell'analisi e gestione del patrimonio, delle attività e dei fenomeni culturali. Il ricercatore, oltre a consolidate conoscenze ed ottime pubblicazioni nel settore del machine learning, con particolare riferimento alle tematiche dell’apprendimento basato su reti neurali e alberi decisionali, dell’identificazione di sistemi dinamici, degli algoritmi di ottimizzazione, della regressione e all’analisi statistica multivariata, dovrà dimostrare la capacità di applicare le proprie competenze a problemi reali e di collaborare in attività di ricerca di tipo multidisciplinare.

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Borse di dottorato in area Statistica / Data Science presso il Politecnico di Milano
by Laura Maria Sangalli 19 May '20

19 May '20

Prego di dare la massima diffusione presso i potenziali interessati ITA E' uscito il bando di ammissione al 36esimo ciclo di dottorato presso il Politecnico di Milano, con scadenza il ** 29 Maggio, ore 14 ** http://www.dottorato.polimi.it/fileadmin/files/dottorato/concorso_linkweb/B… Sono disponibili varie borse in area Statistica / Data Science. Nell'ambito del dottorato in Metodi e Modelli Matematici per l'Ingegneria sono disponibili 8 borse libere, per le quali i candidati possono proporre progetti in area Statistica / Data Science Contatti: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it Nell'ambito del dottorato in Data Analytics and Decision Sciences sono disponibili le borse - "Patient representation methods for risk stratification in oncology" Contatto: francesca.ieva(a)polimi.it - "Impact Analysis in Real World Clinical Oncology" Contatto: anna.paganoni(a)polimi.it - "Learning analytics to support policies and managerial decision making in educational institutions" Contatto: anna.paganoni(a)polimi.it - “Cyber-Capital and impact on the urban rent” Contatti: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it - "Neurosciences and genomics: advanced data analytic methods" Contatto: laura.sangalli(a)polimi.it ENGLISH: Several fellowships are available for a PhD in the area of Statistics / Data Science at Politecnico di Milano, Italy: Call: http://www.dottorato.polimi.it/en/ Deadline for applications: 29 May 2020 at 14:00, Italian time Within the PhD program in Mathematical Models and Methods in Engineering 8 fellowships are available in the generic field of Mathematics and Statistics, that can be targeted to Statistics / Data Science Contacts: alessandra.guglielmi(a)polimi.it, anna.paganoni(a)polimi.it, laura.sangalli(a)polimi.it Within the PhD program in Data Analytics and Decision Sciences fellowships on the following topics are available: - "Patient representation methods for risk stratification in oncology" Contact: francesca.ieva(a)polimi.it - "Impact Analysis in Real World Clinical Oncology" Contact: anna.paganoni(a)polimi.it - "Learning analytics to support policies and managerial decision making in educational institutions" Contact: anna.paganoni(a)polimi.it - “Cyber-Capital and impact on the urban rent” Contacts: valeria.fedeli(a)polimi.it, simone.vantini(a)polimi.it - "Neurosciences and genomics: advanced data analytic methods" Contact: laura.sangalli(a)polimi.it —— 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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2020/21 PhD Programs at the IMT School for Advanced Studies Lucca
by Irene Crimaldi 19 May '20

19 May '20

*2020/21 PhD Programs at the IMT School for Advanced Studies Lucca* Deadline for applications – July 10th 2020, 12 pm CEST Applications are now being accepted for the 2020/21 PhD Programs at the IMT School for Advanced Studies Lucca (www.imtlucca.it), one of the six Schools of Excellence in Italy and one of the highest rated graduate schools in Europe according to the most recent U-Multirank survey. Highly motivated candidates from all disciplines are invited to apply for one of the *32 fully-funded positions.* The 32 scholarships are equally divided between the two doctoral Programs that integrate scientific competences of economics, engineering, computer science, neuroscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage. *Economics, Networks and Business Analytics* is one of the four field-specific tracks offered and is under the “Systems Science” PhD Program. This Track provides participants with a solid knowledge on modern analytical methods in economics and management. With its multidisciplinary approach, the track is unique in its deployment of a strong integration of concepts, analytical foundations, and practical expertise, to educate the new generation of economists, scientists and practitioners with distinctive capabilities in analyzing, interpreting, and managing complex socio-economic systems. Graduates will be trained to become researchers and decision makers in academia, policy and industry by integrating knowledge at the boundary of Economics, Statistical Physics, Computer and Social Sciences with the unifying language of Mathematics and Statistics. Close associations with a selected set of companies and institutions provide the opportunity to analyze relevant problems, motivating new analytical techniques from practical problem solving. Students are involved in the analysis of real world high dimensional data, in collaboration with companies and institutions. During their doctoral studies, students are encouraged to carry out their research with the School’s Research Units. ENBA students also have the possibility of completing their theses under the joint supervision (Double-degree) with KU Leuven or the University of Alicante. Courses are led by world-renowned researchers and provide students with all the theoretical skills and advanced tools required for rigorously tackling a multitude of analysis, design and management problems within the broad framework of systems analysis in economic, social, scientific, technological and cultural domains. Specialized faculty and staff create a network that provides key guidance and support throughout the PhD Program. Working closely with faculty, both in the classroom and in the development of research, students reach the highest levels of scholarly achievement. IMT School PhD graduates will be able to use the skills they acquired during their studies to recognize and resolve complex problems, to choose the most appropriate method or instrument to utilize when approaching these problems, even in disciplines outside of their primary field of research. All students are based in the recently restored San Francesco complex, *a fully integrated Campus* in the historical center of the beautiful Tuscan city of Lucca. The Campus includes renewed residential facilities, an on-site canteen, study and living rooms, a state-of-the-art library and outdoor recreational spaces, which foster a unique cultural,professional and social environment for our doctoral program. Eligible students, in addition to *free room and* *board,* will also receive a *research scholarship which amounts to approximately €15,300/year. *The scholarships are *fully-funded for up to four years,* with a possibility of graduating after the third year. The PhD Programs at the IMT School attracts students from around the world, providing a truly international environment. English is the official language of the School. Moreover, all students will have the opportunity to spend periods abroad at research institutes, laboratories or universities, both within the Erasmus+ framework and through ad hoc mobility agreements. Most IMT School PhD Graduates have reached prominent roles in academics, governmental institutions, public and private companies or professions across the globe. To find out more about the School, the admission requirements and how to apply, please visit the following link: https://www.imtlucca.it/en/phd/information-for-students *Deadline for applications – July 10th 2020, 12 pm CEST* Find the IMT School on Facebook, Twitter, LinkedIn and YouTube for the latest news.

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Call of Interest on High-Dimensional Networks Econometrics
by Roberto Casarin UNIVE 18 May '20

18 May '20

*Advertiser: Department of Economics, Ca' Foscari University Venice (Università Ca’ Foscari)** **Field(s) of specialization: Econometrics* Position type(s): Research Assistant Target date for applications: 25 May 2020 Application deadline: 31 May 2020 (accepting applications) CALL OF INTEREST POSITIONS AS RESEARCH FELLOW AT ITALIAN UNIVERSITIES: University of Bologna, *Ca' Foscari University*, Free University of Bozen-Bolzano Under the Italian PRIN Project entitled “Hi-di network econometric analysis of high dimensional models with network structures in macroeconomics and finance – PROT. 2017TA7TYC” funded by the Italian Ministry of Education, the Departments of Economics at the University of Bologna, the *Department of Economics of the Ca’ Foscari University of Venice* and the Faculty of Economics and Management at Free University of Bozen-Bolzano are opening a call of interest for three positions as Research Fellow (one position for each university). The positions will be funded by the project up to 24 months. The research project covers the following topics: *(i) Development of novel multivariate econometric models and methods able to deal with network effects and to take into account time varying relationships. Attention will be paid on how latent factors drive economic systems and are subject to instability. Their roles will be studied and compared in the pre- and post-coronavirus era.** * *(ii) Analysis of interconnected networks: either physical or intangible networks, observed or estimated. Results will expand academic knowledge on statistical modelling of network event data in a broad range of areas including, but not limited to, social media information diffusion, economic/financial crises contagion and epidemic/disease spread phaenomena.** * (iii) Economic impact of uncertainty: uncertainty is expected to act as a key driving factor in the aftermath of the covid-19 shock and the focus will be also on the policy actions necessary at the macro level to offset the economic consequences of a shock of size never experienced by world economies after WW2. Interested researchers can express their willingness to apply not later than 31st May 2020. Applications should include the CV of the candidate a short research proposal related to the topics covered by the project, and the indication of the University where the research activity will be carried out. For further information please contact: *- Monica Billio (billio(a)unive.it) - Department of Economics of the Ca’ Foscari University of Venice** * - Giuseppe Cavaliere (giuseppe.cavaliere(a)unibo.it) - Departments of Economics at the University of Bologna - Francesco Ravazzolo (francescoravazzolo(a)unibz.it) - Faculty of Economics and Management at Free University of Bozen-Bolzano -- Roberto Casarin, PhD Professor of Econometrics University Ca' Foscari, Venice Address: San Giobbe 873/b 30121 Venezia, Italy Phone: +39 041.234.91.49 Web: http://sites.google.com/view/robertocasarin/ IMEF: http://www.unive.it/imef VERA: http://www.unive.it/vera ORCID: https://orcid.org/0000-0003-1746-9190 -- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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Webinar JACOB
by Pierpaolo De Blasi 16 May '20

16 May '20

WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/research/webinars/> Venerdì 22 Maggio 2020, alle ore 12:00, si terrà il seguente webinar: ------------------------------------------------ Pierre JACOB (Harvard University) *Unbiased Markov chain Monte Carlo with couplings* Abstract: Various tasks in statistics involve numerical integration, for which Markov chain Monte Carlo (MCMC) methods are state-of-the-art. MCMC methods yield estimators that converge to integrals of interest in the limit of the number of iterations. This iterative asymptotic justification is not ideal; first, it stands at odds with current trends in computing hardware, with increasingly parallel architectures; secondly, the choice of "burn-in" or "warm-up" is arduous. This talk will describe recently proposed estimators that are unbiased for the expectations of interest while having a finite computing cost and a finite variance. They can thus be generated independently in parallel and averaged over. The method also provides practical upper bounds on the distance (e.g. total variation) between the marginal distribution of the chain at a finite step and its invariant distribution. The key idea is to generate "faithful" couplings of Markov chains, whereby pairs of chains coalesce after a random number of iterations. This talk will provide an overview of this line of research. (joint work with John O'Leary, Yves Atchadé) Paper at: https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssb.12336 ------------------------------------------------ Chiunque volesse collegarsi al webinar è pregato di inviare una email entro mercoledi 20 Maggio a pierpaolo.deblasi(a)unito.it Il webinar è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats in collaborazione con il Collegio Carlo Alberto. 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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