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Fwd: NeuroMat Posdoctoral Fellowships
by davide gabrielli 21 Sep '15

21 Sep '15

Postdoctoral fellowships in neuromathematics and computational neuroscience in SÃ£o Paulo, Brazil The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat, http://neuromat.numec.prp.usp.br/ ), hosted by the University of SÃ£o Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation, http://www.fapesp.br/en/), is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with Probabilists, Statisticians, Computer Scientists, Statistical Physicists and Neuroscientists associated to NeuroMat. We seek candidates capable to develop independent research in one of the research lines below. 1. Mathematical and/or computational modeling of stochastic spiking neural networks. 2. Electroencephalographic data acquisition, processing and quantitative analysis. Candidates are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes or alternatively in statistics with emphasis on statistical model selection. Previous knowledge of rigorous statistical mechanics, random graphs or stochastic modelling in biosciences will be favourably considered. - A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favourably considered. - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis. Knowledge of computer programming will be favourably considered. Previous experience with multidisciplinary research teams is welcome. - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favourably considered. The initial appointment is for two years, with a possible extension to up to four years, conditional on research progress. Salary is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application instructions Applicants should complete and submit the application form at http://neuromat.numec.prp.usp.br/postdoc-form. The following documents and information are requested (please see the form for further details): - Summary of the Curriculum vitae. Please follow the FAPESP format; see www.fapesp.br/en/6351 for instructions. - List of publications, with links to those available online. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. - A summary of your research plan for the next 2 years, up to 5 pages length. It should explicitly address its place in the framework of the NeuroMat mission and research program ( http://neuromat.numec.prp.usp.br/scientific_project). - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to *postdoc-appl(a)numec.prp.usp.br <postdoc-appl(a)numec.prp.usp.br>*. Candidates are encouraged to apply at their earliest convenience. Two independent evaluation rounds are planned: 1. On October 12, 2015. 2. On November 16, 2015. Appointments are expected to be effective within 2 to 6 months after evaluation date. Remark Approved candidates will be requested to expand their five-page research plan to a full two-year proposal. For the implementation of the fellowships, those proposals, together with all the application material received, will be submitted to FAPESP for final approval. -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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Programma "Mercati energetici e metodi quantitativi: un ponte tra Università e Aziende" (fwd)
by Tiziano Vargiolu 17 Sep '15

17 Sep '15

From: unponte2015 <unponte2015(a)stat.unipd.it> (ci scusiamo per eventuali mail multiple) Egr. dott./dott.ssa si segnala che e' stato pubblicato il programma del workshop "Mercati energetici e metodi quantitativi: un ponte tra Universit? e Aziende". L'evento avra' luogo presso l'Universita' di Padova, Palazzo Bo, Aula Nievo, il prossimo 8 Ottobre 2015. La partecipazione e' gratuita, ma limitata, a causa della scarsa disponibilita' di posti, ai primi 100 partecipanti iscritti seguendo la procedura indicata sul sito web dell'evento: http://www.unponte2015.stat.unipd.it/ Sperando di averla tra i partecipanti, la salutiamo cordialmente. Dott. Enrico Edoli (Phinergy srls) Prof. Francesco Lisi (Dipartimento di Scienze Statistiche, Universit? di Padova) Prof. Tiziano Vargiolu (Dipartimento di Matematica, Universit? di Padova) ----------------------------------------------------------------- unponte2015 email: unponte2015(a)stat.unipd.it web: http://www.unponte2015.stat.unipd.it/ ------------------------------------------------------------------

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Politecnico di Milano - Seminario Alois Kneip
by Laura M. Sangalli 16 Sep '15

16 Sep '15

Si avvisa che in data 30-09-2015, alle ore 14:30 precise, presso l'Aula Seminari "F. Saleri" VI piano - Dipartimento di Matematica, Politecnico di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente seminario: Relatore: Alois Kneip Universitat Bonn Titolo: Nonparametric Registration to Low-Dimensional Functionspaces Abstract: Registration aims to decompose amplitude and phase variation of samples of curves. Phase variation is captured by warping functions which monotonically transform the domains of sample curves. Resulting registered curves should then only exhibit amplitude variation. Most existing registration method rely on aligning typical shape features like peaks or valleys to be found in each sample function. It is shown that this is not necessarily an optimal strategy for subsequent statistical data exploration and inference. In this context a major goal is to identify low dimensional linear subspaces of functions that are able to provide accurate approximations of the observed functional data. In this paper we present a registration method where warping functions are defined in such a way that the resulting registered curves span a low dimensional linear function space. Problems of identifiability are discussed in detail, and connections to established registration procedures are analyzed. The method is applied to real and simulated data. Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Laura Sangalli -- 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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Politecnico di Milano - Seminario Bill Sudderth
by Laura M. Sangalli 16 Sep '15

16 Sep '15

Si avvisa che in data 16-10-2015, alle ore 14:30 precise, presso l'Aula Seminari "F. Saleri" VI piano - Dipartimento di Matematica, Politecnico di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente seminario: Relatore: Bill Sudderth School of Statistics, University of Minnesota Titolo: How to Control a Process to a Goal Abstract: Suppose that you have a fortune of $10 and seek to reach $100 by placing bets at xed odds on repetitions of a given event such as the appearance of red (or black) on each spin of a roulette wheel. What is the best strategy for you to reach your goal? What strategy will get you there in the least expected time? What if you are competing with another player? I will discuss these and related problems in both discrete and continuous time. Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Laura Sangalli -- 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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Seminario MASSIMINI (RGS, ADAMSS, CIMAB & Matematica Applicata)
by Giacomo Aletti (giacomo.aletti) 15 Sep '15

15 Sep '15

Con preghiera di diffusione tra tutti i possibili interessati, scusandomi per invii multipli. Cordialmente, Giacomo Aletti -------------- Nell'ambito dei Reading Group Seminars e del Seminario di Matematica Applicata, in collaborazione col centro ADAMSS e il CIMAB, il giorno lunedì 21 Settembre 2015, alle ore 14.30, nell'Aula Dottorato (primo piano) del Dipartimento di Matematica dell'Universita' degli Studi di Milano, Via C. Saldini, 50, Milano, "Consciousness and complexity: from theory to practice" Marcello MASSIMINI Dipartimento di Scienze biomediche e cliniche 'Luigi Sacco' Università degli Studi di Milano Abstract: We usually assess another individual’s level of consciousness based on her/his ability to connect to the surrounding environment and produce appropriate responses. However, conscious experience can be entirely generated within the brain, even in the absence of any interaction with the external world; this happens almost every night, during dreaming, and may occur during certain forms of anesthesia as well as in brain-injured patients who emerge from coma and remain unresponsive. Hence, clinical and physiological evidence advocate the development of brain-based metrics that are independent on both sensory inputs and motor outputs. As an attempt in this direction, an empirical measure of brain complexity has been recently developed based on the electroencephalographic (EEG) response to a direct cortical perturbation with transcranial magnetic stimulation (TMS), the perturbational complexity index (PCI). Based on theoretical postulates, PCI gauges the conjoint presence of integration and information in the human brain, independently of sensory inputs and motor outputs. In a series of experiments, PCI was tested on TMS-evoked potentials recorded in healthy subjects during wakefulness, dreaming, NREM sleep, and different levels of sedation induced by different anesthetic agents (including the dissociative anesthetic ketamine), as well as in patients who emerged from coma and attained a stable diagnosis. Overall, PCI allows a reliable assessment of the level of consciousness at the individual level even in subjects who are fully disconnected from the surrounding environment on both the input and output side. These measurements are scientifically relevant in the context of the information integration theory of consciousness (IITC) and prompt further validation toward the development of a practical diagnostic test. ================= Reading Group Seminars: The Reading Group Seminars (RGS) are organized within an open community of researchers interested in applying up to date mathematical modeling and data analysis approaches to the study of biological systems. The RGS take place at the Math. Department in Milan (via Saldini). Initiatives and updates are published on the website: http://rgs.mat.unimi.it/. -- ------------------------------- Giacomo Aletti, Associate Professor ADAMSS Centre (ex MIRIAM) Advanced Applied Mathematical and Statistical Sciences Department of Mathematics (www.mat.unimi.it) Via Saldini, 50 20133 Milano, Italy Tel: +39-02-503.16158 Fax:+39-02-503.16090 Cell:+39-340-9739142 **************** Per destinare il 5x1000 all'Universita' degli Studi di Milano: indicare nella dichiarazione dei redditi il codice fiscale 80012650158. http://www.unimi.it/13084.htm?utm_source=firmaMail&utm_medium=email&utm_con…

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Annuncio di seminario
by Ilia Negri 14 Sep '15

14 Sep '15

Dear all, I’m are glad to invite you to the following seminar. When: Thursday, September 19th, 2015, 14:30 Where: Department of Management, Economics and quantitative Methods, Via dei Caniana n. 2 – Room 15 Title: A stochastic maximal inequality, strict countability, and related topics Speaker: Yoichi Nishiyama (Waseda University, Tokyo) Abstract: As an alternative to the well-known methods of "chaining" and "bracketing" that have been developed in the study of random fields, a new method, which is based on a stochastic maximal inequality derived by using It\^o's formula, is presented. The main results are some weak convergence theorems for sequences of separable random fields of locally square-integrable martingales under the uniform topology with the help also of entropy methods. As special cases, some new results for i.i.d. random sequences, including a new Donsker theorem and a moment bound for suprema of empirical processes indexed by classes of sets or functions, are obtained. An application to statistical estimation in semiparametric models is presented with an illustration to construct adaptive estimators in Cox's regression model. Ilia Negri http://www.unibg.it/pers/?ilia.negri

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DRM2015 - deadline approaching
by fabio.bellini 14 Sep '15

14 Sep '15

Dear colleagues, let me recall that tomorrow is the deadline for submitting an abstract to the "Dependence and Risk Measures" conference that will take place on November 12-13 at the University of Milano-Bicocca. Further informations: https://sites.google.com/site/dependenceriskmeasures/ Best regards Fabio Bellini Department of Statistics and Quantitative Methods University of Milano-Bicocca

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Seminario Prof. Jorge P. Zubelli
by Sabrina Mulinacci 13 Sep '15

13 Sep '15

Carissimi tutti, segnalo il seguente seminario del Prof. Jorge P. Zubelli, dell'IMPA di Rio de Janeiro che si terrà in Aula 1 presso il Dipartimento di Scienze Statistiche “P. Fortunati” in Via Belle Arti 41, 40126 Bologna. Tutti gli interessati sono invitati a partecipare Un caro saluto Sabrina Mulinacci ********************************************************************* Prof. Jorge P. Zubelli, dell'IMPA di Rio de Janeiro Titolo del seminario: "Calibration of Local Volatility Models from Option Data for Commodities." Abstract: Local volatility models are extensively used and well-recognized for hedging and pricing in financial markets. They are frequently used, for instance, in the evaluation of exotic options so as to avoid arbitrage opportunities with respect to other instruments. Derivatives for commodities are extensively traded instruments in financial markets, especially in energy and oil ones. They are particularly challenging since the spot prices are not directly observable, thus requiring a further modeling effort. The ill-posed character of local volatility surface calibration from market prices requires the use of regularization techniques either implicitly or explicitly. Such regularization techniques have been widely studied for a while and are still a topic of intense research. We have employed convex regularization tools and recent inverse problem advances to deal with the local volatility calibration problem. In this talk we shall describe ongoing work on the use local volatility models in the context of commodity markets, in particular applied to energy and oil ones. This work is part of ongoing collaboration with V. Albani (Vienna), U. Ascher (Toronto), and Xu Yang (IMPA).

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seminario Patrick Beissner
by Emanuela Rosazza 11 Sep '15

11 Sep '15

Cari tutti, martedì 15 settembre alle ore 16 il Dott. Patrick Beissner (Bielefeld University, Germania) terrà in Bicocca (edificio U7- aula 2062 (aula demografica) – secondo piano) un seminario dal titolo “Asset Pricing and Bubbles under Sentiment-Based Expectations”. Abstract: We propose a formal theory of asset pricing that allows us to explain how sentiments in the market may influence price formation. A fully nonlinear expectation captures behavioral market sentiments in terms of waves between optimism and pessimism. The approach follows the standard procedure by extracting some stochastic Euler equation from a representative agent equilibrium model. Preferences are represented through sentiment-based expected utility. In equilibrium, the resulting asset price process can then be described by a new (nonlinear) conditional sentiment-based expectation. In a final step, we observe the possible emergence of a bubble that is induced by disagreement of optimism and pessimism for the market relevant pricing measures. Joint work with Patrick Cheridito. Tutti gli interessati sono invitati a partecipare. Un saluto e a presto, Emanuela ******************************************************************************************* Emanuela Rosazza Gianin Dipartimento di Statistica e Metodi Quantitativi Università di Milano-Bicocca Edificio U7 – 4° Piano Via Bicocca degli Arcimboldi, 8 20126 Milano Tel. 02 64483208 Fax. 02 64483105 e-mail: emanuela.rosazza1(a)unimib.it *******************************************************************************************

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Seminario Dr. Cosetta Minelli - Mendelian Randomisation - 12 ottobre 2015
by Alessandro Marcon 11 Sep '15

11 Sep '15

Gentilissimi/e, vi invio un avviso di seminario, con preghiera di massima diffusione. Sede del seminario: Istituti Biologici 2, Università di Verona, strada Le Grazie 8 (VERONA). Distinti saluti, Alessandro Marcon Alessandro Marcon, PhD Unit of Epidemiology & Medical Statistics Department of Diagnostics and Public Health University of Verona Strada Le Grazie 8, 37134 Verona, Italy tel. +39 045 8027668 Avviso di SEMINARIO Lunedì 12 ottobre 2015 ore 11.00-11.45 Aula Igiene & Statistica (Istituti Biologici 2, blocco B, secondo piano) Dr. Cosetta Minelli Senior Lecturer in Medical Statistics, National Heart and Lung Institute, Imperial College London *Mendelian randomization: * *The use of genes as instruments to strengthen causal inference in epidemiology* Mendelian randomization is an approach that uses genes as instrumental variables to derive unconfounded estimates of the effects of risk factors (e.g. biomarkers) on disease traits, and is therefore increasingly being used in epidemiology to distinguish causal from spurious associations. Since genes are randomly allocated at conception, genetic effects on a biomarker cannot be affected by classical confounding (e.g. lifestyle factors) or reverse causation (e.g. biomarker level being influenced by the presence of disease). Demonstration that a genetic variant known to modify the biomarker also modifies the disease trait represents indirect evidence of a causal biomarker-disease association. The validity of Mendelian Randomization, however, is based on instrumental variable assumptions, the most important being absence of pleiotropy. This talk will describe the approach, discuss ways to assess pleiotropy, highlight opportunities and challenges offered by available genome-wide data, and discuss its extension to the field of epigenetics (two-step epigenetic Mendelian randomization).

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