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Procedura selettiva 2022RUB05 - RTDb 13D1
by Alessandra Fabbri Colabich 29 Sep '22

29 Sep '22

Buongiorno, è stato pubblicato il Bando relativo all'indizione di una procedura selettiva per posti da Ricercatore a tempo determinato RTD-B, di cui uno nel settore concorsuale 13D1 presso il Dipartimento di Scienze Statistiche dell’Università degli Studi di Padova. Il bando è disponibile all’indirizzo: https://www.unipd.it/procedura-2022RUB05 La *scadenza* per la presentazione delle domande è il *27 ottobre 2022 alle ore 13*. Si prega di dare la massima diffusione presso tutti gli interessati. Grazie per la collaborazione Alessandra Fabbri Colabich -- Dott.ssa Alessandra Fabbri Colabich Università degli Studi di Padova Dipartimento di Scienze Statistiche [image: Ottocento anni di libertà e futuro]

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Fwd: NetSci-X 2023, Buenos Aires, Argentina, February 7-10, 2023.
by Silvestri, Vittoria 28 Sep '22

28 Sep '22

Ricevo e inoltro volentieri. ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ******************************** ---------- Forwarded message --------- Da: Pablo Groisman <pgroisma(a)dm.uba.ar> Date: lun 26 set 2022 alle ore 14:56 Subject: NetSci-X 2023, Buenos Aires, Argentina, February 7-10, 2023. To: Dear colleagues, We kindly ask for your help to spread the word in your institute/university about the call for contributions to NetSci-X 2023 to be held in Buenos Aires (see below). Many thanks in advance, Pablo Groisman. *NetSci-X 2023, Buenos Aires, Argentina, February 7-10, 2023* - https://cnet.fi.uba.ar/netscix23/ [image: Ciudad de Buenos Aires] We kindly invite you to submit your contribution to the International School and Conference on Network Science *NetSci-X 2023*, which will be held onsite at *School of Engineering* of *Universidad de Buenos Aires* (UBA), Argentina on February 7-10, 2023. *The abstract submission deadline is October 28, 2022*. The annual NetSci-X conference is organized by the Network Science Society ( https://netscisociety.net/) to promote research on Network Science, both regarding the fundamentals as its applications in epidemiology, social networks, economy, ecology and finance, among others. The conference will also be an opportunity for exchange between researchers in South America and the rest of the world, hosting distinguished speakers working in different areas of Network Science, and fostering local and international collaboration. More info at: https://cnet.fi.uba.ar/netscix23/ (CfP; abstract format; organizers; invited speakers; registration; venue). We hope to see you in Buenos Aires!

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One World ABC - Till Hoffmann - September 29, 1.30pm UK time
by Massimiliano Tamborrino 26 Sep '22

26 Sep '22

Dear all, Season 4 of the One Word ABC Seminar https://warwick.ac.uk/oneworldabc is starting this week on Thursday the 29th September, 1.30pm UK time. The first speaker of the season will be Till Hoffman, who will talk about "Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics", with an abstract reported below. The link to join the talk is https://bristol-ac-uk.zoom.us/j/93353511660?pwd=MmFTNUR5QkFBeStlenNVemtZbzJ… Meeting ID: 933 5351 1660 Passcode: 406075 We are looking forward to seeing you there, Best regards, Massimiliano on the behalf of the One World ABC Organisers When: 29th September, 1.30pm UK time Speaker: Till Hoffmann <https://tillahoffmann.github.io/> (Harward T.H. Chan School of Publich Health) Title: Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics Abstract: Extracting low-dimensional summary statistics from large datasets is essential for efficient (likelihood-free) inference. We propose obtaining summary statistics by minimizing the expected posterior entropy (EPE) under the prior predictive distribution of the model. We show that minimizing the EPE is equivalent to learning a conditional density estimator for the posterior as well as other information-theoretic approaches. Further summary extraction methods (including minimizing the L² Bayes risk, maximizing the Fisher information, and model selection approaches) are special or limiting cases of EPE minimization. We demonstrate that the approach yields high fidelity summary statistics by applying it to both a synthetic benchmark as well as a population genetics problem. We not only offer concrete recommendations for practitioners but also provide a unifying perspective for obtaining informative summary statistics. Reference: T. Hoffmann and J.P. Onnela. Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics. Preprint at ArXiv:2206.02340, 2022 ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Ohio State University - Four Tenure Track Positions in Statistics
by peruggia＠stat.osu.edu 24 Sep '22

24 Sep '22

The Department of Statistics at The Ohio State University seeks to hire four tenure-track Assistant Professors. The detailed description of the positions is provided in the advertisement on our webpage: https://stat.osu.edu/about/open-positions. Applications are currently being accepted via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/22342. We will begin reviewing applications on October 1 and will continue accepting new applications until the positions are filled. We anticipate interviewing some candidates during Fall semester and others during the early part of Spring semester. Please feel free to reach out to Sebastian Kurtek at kurtek.1(a)osu.edu with any questions you might have. ----------------------------------- Mario Peruggia Professor of Statistics The Ohio State University -----------------------------------

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LUISS Seminar September 29 -- prof Cristensen, link
by Sara 22 Sep '22

22 Sep '22

Dear all, this is a gentle memo of the seminar by Soren Christensen, Uni-Kiel, September 29 at 12:30 e verterà su: *Nonparametric approaches to data-driven stochastic control* Abstract: One of the fundamental assumptions in stochastic control of continuous-time processes is that the dynamics of the underlying process are known. This is, however, usually obviously not fulfilled in practice. On the other hand, a rich theory for nonparametric estimation of the characteristics of continuous-time processes has been developed over the last decades. In this talk, we discuss how to bring together these two areas for developing purely data-driven strategies for stochastic control, which we explore for ergodic impulse and singular control problems. We compare the results with those of deep-Q learning algorithms. Room: 406 a, campus viale Romania, Roma LINK https://luiss.webex.com/luiss-en/j.php?MTID=m3aff761032d19c28c3c1bd004b35f6… *Credentials* *User:* w_guest(a)luiss.it *Password:* iz2BuAvnf5Q Please find a Webex user guide in attachment. -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli https://www.luiss.it/ Address: Viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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Seminar of Dimitris Fouskakis @ UNIMIB
by Federico Camerlenghi 21 Sep '22

21 Sep '22

Dear all, we are glad to announce the next DEMS seminar: Monday the 3rd of October at 10:30 am The seminar will be held in room 4026 (building U7 Civitas, 4th floor, University of Milano Bicocca). The speaker is Dimitris Fouskakis <http://www.math.ntua.gr/~fouskakis/en_index.html> (National Technical University of Athens). The seminar title is "Handling Sparsity using Random Imaginary Data", an abstract is attached. You are all very welcome! 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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EFI8 - Save the date - Call for papers (fwd)
by Tiziano Vargiolu 20 Sep '22

20 Sep '22

---------- Forwarded message ---------- Date: Thu, 15 Sep 2022 13:58:12 +0000 From: Roberto Baviera <roberto.baviera(a)polimi.it> >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Dear Colleagues, we invite you to submit contributions to the 8th edition of the Energy Finance Italia conference (EFI8) that will be held on 8-10 February 2023 at Politecnico di Milano. The conference puts together researchers and practitioners working in all areas of Energy-Finance & Climate-Change related research in economics, finance, engineering, data science and mathematics. Young researchers and practitioners are especially welcome: the conference best paper will be awarded. Keynote speakers: - Clémence Alasseur (EDF, Paris), - Fred Espen Benth (University of Oslo) - Florian Ziel (University of Duisburg-Essen) IMPORTANT DATES: Paper/abstract submission: November 25, 2022 Notification of acceptance: December 9, 2022 Early registration: December 16, 2022 Please refer to the attached call-for-papers conference leaflet for further details. VENUE: Department of Mathematics, Politecnico di Milano Via Edoardo Bonardi, 9, 20133 Milano, Italy Submission & Conference Secretariat: efi8-dmat(a)polimi.it Looking forward to meet you in Milan, Best Regards Roberto Baviera and Carlo Sgarra Organizing committee chairs __________________________________ Professor of Financial Engineering, Dep. Mathematics, Politecnico di Milano, 32 p.zza Leonardo da Vinci, I-20133 Milan Web: qfinlab.polimi.it/baviera __________________________________

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Seminar of Prof. Eckhard Platen, on Friday 23 september, at 3pm (fwd)
by Tiziano Vargiolu 20 Sep '22

20 Sep '22

Dear all, on Friday 23 september, at 3pm , we will have the pleasure to host the seminar of Prof. Eckhard Platen from University of Sydney, who is visiting our math department during this week. The seminar will be in presence at the Department of Mathematics, University of Padova, room 702 (stair B, 7th floor at via Trieste 63, Padova) and available on Zoom at the following address: https://unipd.zoom.us/j/86350461357 Title and abstract of the presentation are here below. Modeling Long-Term Stock Market Dynamics via Entropy Maximization Eckhard Platen University of Technology Sydney Abstract: By assuming the existence of the growth optimal portfolio (GP) and maximizing the entropy for a hierarchically structured stock market, the paper derives the GP dynamics as those of time-transformed squared Bessel processes of dimension four. The average of each of their squared volatility components is shown to converge toward a common level. The initial values of basis security accounts turn out to be gamma-distributed. The risk-adjusted return of the GP is not depending on a savings account and can be significantly higher than classical assumptions allow to explain. Best regards Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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Fwd: Postdoc positions available at Bath
by Elisabetta Candellero 20 Sep '22

20 Sep '22

Ricevo ed inoltro. Elisabetta ---------- Forwarded message --------- From: Alex Cox <00004bb135c53845-dmarc-request(a)jiscmail.ac.uk> Date: Tue, Sep 20, 2022 at 2:51 PM Subject: Postdoc positions available at Bath To: <APPLIEDPROB(a)jiscmail.ac.uk> We are looking to recruit up to 5 adventurous and talented researchers to fill postdoctoral positions as part of the recently awarded EPSRC programme grant, MaThRad (Mathematical Theory of Radiation Transport). This five-year interdisciplinary programme of research will use modern mathematical methods from probability theory, advanced Monte Carlo methods and inverse problems to develop novel approaches to the theory and application of radiation transport. We are particularly keen to recruit researchers with experience in any of: - Interacting particle systems for Monte Carlo methods and rare event simulation - Statistical physics for transport modelling - Branching structures and/or stochastic modelling - Mathematical applications to medical physics - Applied numerical analysis and inverse problems Please visit the link below for more details: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC9825 Feel free to contact me if you have any questions about the roles. Alex Cox *I work flexible hours and may contact you outside of a standard working day. Please be assured I do not expect a reply outside of your normal working hours.* __________________________________________________________________________ Dr Alexander Cox tel: 01225 386187 Dept of Mathematical Sciences email: a.m.g.cox(a)bath.ac.uk University of Bath, UK web: http://www.maths.bath.ac.uk/~mapamgc/ __________________________________________________________________________ ------------------------------ To unsubscribe from the APPLIEDPROB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=APPLIEDPROB&A=1

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Seminar Toulis @Bocconi - 22nd Sept at 12:00
by Giacomo Zanella 19 Sep '22

19 Sep '22

We are glad to announce the following hybrid seminar (more details at link <https://bidsa.unibocconi.eu/bidsa-hybrid-seminar-randomization-inference-tr…> ): Thursday, 22nd September 2022 12:00, Room AS01 + Zoom Bocconi University, Via Roentgen 1, floor -1 *Speaker**: Panos Toulis (University of Chicago, Booth School of Business, * https://www.ptoulis.com/) *Title:* Randomization Inference of Treatment Spillover Effects *Abstract:*In causal inference, interference exists when a unit’s outcome depends on the treatment assignments of other units. For example, intensive policing on one street could have a spillover effect on neighboring streets. Analyzing such effects with a model-based approach (e.g., regression) can be misleading because it requires strong, untestable assumptions on how spillovers behave asymptotically. A more robust approach is to use the randomization method, which resamples the treatment according to the experiment design in order to accurately quantify uncertainty. However, the classical method breaks down under spillovers because many null hypotheses of interest are not "sharp", i.e., they offer no information for some units in the sample. In this talk, I will propose valid, powerful, and easy-to-implement randomization tests for a general class of non-sharp null hypotheses that allow for arbitrary spillovers between units. The key idea is to represent the hypothesis of interest as a bipartite graph between units and assignments, and to find a clique of this graph. Importantly, the null hypothesis is sharp in this clique, enabling randomization-based inference conditional on the clique. I will illustrate this approach in three applications: (i) settings with clustered interference, (ii) a large-scale policing experiment in Medellín (Colombia), and (iii) an experiment designed to increase business firm performance by cultivating interfirm relationships. *Zoom information:*Join Zoom Meeting: https://unibocconi-it.zoom.us/j/93778273056 Meeting ID: 937 7827 3056 Best regards, Giacomo Zanella

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