June 2019 - Random - Mailing list — Dipartimento di Matematica, UniPI

Concorso da RTDb di MAT/06 a Padova - scadenza 25/8/2016
by Marco Ferrante 25 Jun '24

25 Jun '24

Cari colleghi, vi segnalo che il Dipartimento di Matematica dell'Università di Padova ha bandito un posto di ricercatore di tipo B nel settore MAT/06. Il bando è disponibile alla pagina http://www.math.unipd.it/it/news/?id=1898 La scadenza per la presentazione delle domande è il 25 agosto 2016. Marco Ferrante

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Seminario KOLOKOLTSOV @ UniTo
by Cristina Zucca 14 Oct '19

14 Oct '19

********************************************************************* SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA "G. PEANO" UNIVERSITA' DEGLI STUDI DI TORINO ********************************************************************* Martedì 17 Aprile 2018 alle ore 15:00 in Aula Marro presso il Dipartimento di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo Alberto 10, Il Prof. *VASSILI KOLOKOLTSOV* terrà un seminario dal titolo *Recent developments in probabilistic and analytic methods for fractional differential equations * Abstract: We shall discuss recent achievements in solving fractional differential equations and their extensions arising from generalized fractional calculus. Probabilistic techniques will be derived from the notion of Markov processes interrupted on the attempt to cross the boundary. Analytic techniques will cover generalized operator-valued Mittag-Leffler functions and chronological Feynman-Kac formulas. Tutti gli interessati sono invitati a partecipare. -- Dr. Cristina Zucca Department of Mathematics University of Torino Via Carlo Alberto 10 10123 Torino, Italy tel: +39-011-6702850 fax: +39-011-6702878

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Seminario: Lorenzo Trippa, Adaptive trial design in glioblastoma
by Antonio Pievatolo 28 Jun '19

28 Jun '19

Thursday 4 July 2019 at 14:30 Lorenzo Trippa, Harvard University and Dana-Farber Cancer Institute, Department of Statistics and Computational Biology CNR IMATI, Via A. Corti, 12, Milano, Aula B *Adaptive trial design in glioblastoma* There have been few treatment advances for patients with glioblastoma (GBM) despite increasing scientific understanding of the disease. While factors such as intrinsic tumor biology and drug delivery are challenges to developing efficacious therapies, it is unclear whether the current clinical trial landscape is optimally evaluating new therapies and biomarkers. We queried ClinicalTrials.gov for interventional clinical trials for patients with GBM initiated between January 2005 and December 2016 and abstracted data regarding phase, status, start and end dates, testing locations, endpoints, experimental interventions, sample size, clinical presentation/indication, and design to better understand the clinical trials landscape. Only approximately 8%–11% of patients with newly diagnosed GBM enroll on clinical trials with a similar estimate for all patients with GBM. Trial duration was similar across phases with median time to completion between 3 and 4 years. While 93% of clinical trials were in phases I–II, 26% of the overall clinical trial patient population was enrolled on phase III studies. We use the results of this meta analysis to discuss pros and cons of trial designs in GBM. This analysis includes platforms and the use of external controls. Platform design allow to add new experimental arms to the clinical study when they become available, while the aim of an external controls is to leverage external data that were not generated from the clinical study. -- Dr Antonio Pievatolo IMATI-CNR http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101 ph. +39 02 23699 520

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Fwd: Upcoming Luiss Research Seminars Week of July 1-5, 2019
by Sara 28 Jun '19

28 Jun '19

For your information, many thanks. Sara ---------- Forwarded message --------- From: ricercaluiss <ricerca(a)luiss.it> Date: Fri, Jun 28, 2019 at 9:57 AM Subject: Upcoming Luiss Research Seminars Week of July 1-5, 2019 To: <sbiagini(a)luiss.it> [image: banner] *Upcoming Luiss Research Seminars* *Week of July 1-5, 2019* *Tuesday, 2nd July* ------------------------------ *Department of Economics and Finance* *Cagin Ararat*, Bilkent University Set-Valued Quasiconvex Risk Measures <http://mailsender.luiss.it/lists/lt.php?id=cRpWBAADSAQCCAZOVwhRDQ0> Luiss | Viale Romania, 32 | Room 207, 10:30am-11:30am ------------------------------ *Department of Economics and Finance* *Cagin Ararat*, Bilkent University Computation of Systemic Risk Measures <http://mailsender.luiss.it/lists/lt.php?id=cRpWBAAASAQCCAZOVwhRDQ0> Luiss | Viale Romania, 32 | Room 207, 11:30am-1pm ------------------------------ *Department of Business and Management* *Harris Kyriakou*, IESE Business School A Relational Perspective on Consumption and Contribution in Online Innovation Communities <http://mailsender.luiss.it/lists/lt.php?id=cRpWBAABSAQCCAZOVwhRDQ0> Luiss | Viale Romania, 32 | Room 303, 11:30am-1pm ------------------------------ *Ufficio Ricerca* Luiss Guido Carli Viale Romania, 32 ricerca(a)luiss.it powered by phpList <http://mailsender.luiss.it/lists/lt.php?id=cRpRTgADDQNPAw0HXQU> -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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Workshop on "Large Scale Random Structures" at Milano-Bicocca (10-11 July 2019)
by Francesco Caravenna 27 Jun '19

27 Jun '19

I am pleased to announce the Third Workshop on "Large Scale Random Structures" Wed 10 - Thu 11 July 2019 Aula 3014, U5 building Department of Mathematics and Applications, University of Milano-Bicocca Co-sponsored by the PRIN 2015 Project "Large Scale Random Structures" (P.I. Fabio Martinelli) See below for the program. More details on the webpage: http://staff.matapp.unimib.it/~fcaraven/prin2015/workshop-2019/ <http://staff.matapp.unimib.it/~fcaraven/prin2015/workshop-2019/> Participation is free, but registration is required (just contact me by email). Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%% PROGRAM Wed 10 July 14:20 Opening 14:30-15:10 Elisabetta Candellero (Roma Tre) Oil and water model on vertex transitive graphs 15:15-15:55 Vittoria Silvestri (Cambridge / Roma Sapienza) Planar aggregation models with subcritical fluctuations 16:00-16:30 Coffee Break 16:30-17:10 Paolo Dai Pra and Marco Formentin (Padova) Mean-field models with multiscale structure 17:15-17:55 Alexandre Stauffer (Roma Tre) Competition in randomly growing processes 18:00-18:40 Massimo Campanino (Bologna) Ornstein-Zernike behaviour for the correlation functions of the ground state of the quantum Ising model with transverse magnetic field Evening: Social Dinner Thu 11 July 09:00-09:40 Pietro Caputo (Roma Tre) Mixing time of PageRank surfers on sparse random digraphs 09:45-10:25 Alessandra Bianchi and Samuele Stivanello (Padova) Random walks in random media 10:30-11:00 Coffee Break 11:00-11:40 Francesca Collet (Padova) Dynamical aspects of a Curie-Weiss model of self-organized criticality: moderate fluctuations 11:45-12:25 Francesca Nardi (Firenze) Hitting time asymptotics for hard-core interactions on bipartite graphs 12:30-13:10 Alessandra Faggionato (Roma Sapienza) Stochastic homogenization in amorphous media and applications to exclusion processes and random resistor network 13:15 Closing %%%%%%%%%%%%%%%%%%%%%%%%%% _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy http://www.matapp.unimib.it/~fcaraven/ _________________________________________

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Conference Econometrics in The Arena 2019 - Verona - 12-13 settembre 2019 (fwd)
by Cecilia 27 Jun '19

27 Jun '19

We announce the forthcoming conference: ECONOMETRICS IN THE ARENA 2019 at the Department of Economics of the University of Verona on September 12-13, 2019. Details and registration can be found at http://dse.univr.it/ecarena/ The conference will serve as a venue to discuss the most recent advances in theoretical and applied econometrics in a vibrant research environment. Invited speakers: Federico Bandi (Johns Hopkins University) Monica Billio (Ca' Foscari University of Venice) Massimiliano Caporin (University of Padua) Giuseppe Cavaliere (University of Bologna) Valentina Corradi (University of Surrey) Fulvio Corsi (University of Pisa) Liudas Giraitis (Queen Mary - University of London) Offer Lieberman (Bar-Ilan University) Alessandra Luati (University of Bologna) Tassos Magdalinos (University of Southampton) Federico Martellosio (University of Surrey) Paolo Paruolo (JRC - European Commission) Eduardo Rossi (University of Pavia) We hope you can attend and we look forward to your participation. Organizers: Roberto Renò, roberto.reno(a)univr.it Francesca Rossi, francesca.rossi_02*univr.it <== Sostituire il carattere | con . e il carattere * con @ per avere indirizzo email corretto.

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EXTENDED deadline for open postdoc position (Geoazur/Inria)
by Josiane Zerubia 27 Jun '19

27 Jun '19

---------------------------------------------------------------------------------------------------------------------------------- Open post-doc position at Géoazur in collaboration with Inria, at Sophia Antipolis, France, in the research area: Curvilinear network detection on satellite images using AI, stochastic models and deep learning. EXTENDED Submission deadline July 31, 2019 ---------------------------------------------------------------------------------------------------------------------------------- Open Position for a post-doc scientist at Géoazur (https://geoazur.oca.eu/fr/acc-geoazur) in collaboration with Inria (https://www.inria.fr/en/centre/sophia) at Sophia Antipolis (Nice region), France, in the area of Computer Vision, Deep Learning and Remote Sensing applied to curvilinear detection on both optical and SAR satellite images (project abstract below). Both Geoazur and Inria Sophia Antipolis are ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe (ie. Sophia-Antipolis, see https://en.wikipedia.org/wiki/Sophia_Antipolis) This position is funded by University Côte d'Azur (UCA, see http://univ-cotedazur.fr/en#.XOforoWTpT4) Duration: 18 months Starting date: between September 1st and December 1st 2019. Salary: gross salary per month 3000 EUR (ie. approximately 2400 EUR net) Please see full announcement https://faultsrgems.oca.eu/images/FAULT/News/Post-doc_offer-AI-ManighettiZe…, or on https://euraxess.ec.europa.eu/jobs/411481 Candidate profile Strong academic backgrounds in Stochastic Modeling, Deep Learning, Computer Vision, Remote Sensing and Parallel Programming with GPUs and/or multicore CPUs. A decent knowledge of Earth and telluric features (especially faults) will be appreciated. To apply, please email a full application to both Isabelle Manighetti (manighetti(a)geoazur.unice.fr) and Josiane Zerubia (josiane.Zerubia(a)inria.fr) indicating “UCA-AI-post-doc” in the e-mail subject. The application should contain: - a motivation letter demonstrating motivation, academic strengths and related experience to this position. - CV including publication list - at least two major publications in pdf - minimum 2 reference letters Project abstract Curvilinear structure networks are widespread in both nature and anthropogenic systems, ranging from angiography, earth and environment sciences, to biology and anthropogenic activities. Recovering the existence and architecture of these curvilinear networks is an essential and fundamental task in all the related domains. At present, there has been an explosion of image data documenting these curvilinear structure networks. Therefore, it is of upmost importance to develop numerical approaches that may assist us efficiently to automatically extract curvilinear networks from image data. In recent years, a bulk of works have been proposed to extract curvilinear networks. However, automated and high-quality curvilinear network extraction is still a challenging task nowadays. This is mainly due to the network shape complexity, low-contrast in images, and high annotation cost for training data. To address the problems aroused by these difficulties, this project intends to develop a novel, minimally-supervised curvilinear network extraction method by combining deep neural networks with active learning, where the deep neural networks are employed to automatically learn hierarchical and data-driven features of curvilinear networks, and the active learning is exploited to achieve high-quality extraction using as few annotations as possible. Furthermore, composite and hierarchical heuristic rules will be designed to constrain the geometry of curvilinear structures and guide the curvilinear graph growing. The proposed approach will be tested and validated on extraction of tectonic fractures and faults from a dense collection of satellite and aerial data and “ground truth” available at the Géoazur laboratory in the framework of the Faults_R_Gems project co-funded by the University Côte d’Azur (UCA) and the French National Research Agency (ANR). Then we intend to apply the new automatic extraction approaches to other scenarios, as road extraction in remote sensing images of the Nice region, and blood vessel extraction in available medical image databases. -- Josiane Zerubia INRIA Sophia-Antipolis Méditerranée BP 93, 2004 Route des Lucioles 06902 Sophia-Antipolis Cedex - France phone: +33 4 92 38 78 65, fax: +33 4 92 38 78 58 email: Josiane.Zerubia(a)inria.fr web: http://www-sop.inria.fr/members/Josiane.Zerubia/index-eng.html

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Puntata di radio 3 scienza
by Lorenzo Zambotti 24 Jun '19

24 Jun '19

Gentili colleghi e colleghe, vi segnalo il link al podcast di una puntata di radio 3 scienza della settimana scorsa, in cui si e' parlato di Ernst e Martin Hairer e in cui mi e' stato chiesto di intervenire (in diretta dal congresso di Vietri sul Mare) https://www.raiplayradio.it/audio/2019/06/RADIO3-SCIENZA-del-20062019---Di-…

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Corso Enrico Scalas presso UNISA
by Barbara Martinucci 22 Jun '19

22 Jun '19

Università degli Studi di Salerno Dipartimento di Matematica Si rende noto che nel periodo 25 giugno - 12 luglio 2019 si terrà il corso di dottorato "From Markov chains to semi-Markov processes: The consequences of time change". Le lezioni saranno tenute dal Prof. Enrico Scalas, Professor of Statistics & Probability, University of Sussex, UK (pagina web: http://www.sussex.ac.uk/profiles/330303) e si terranno nella sala del consiglio del Dipartimento di Matematica secondo il seguente calendario: - lezione 1 (2 ore): martedì 25 giugno, ore 11:00-13:00; - lezione 2 (3 ore): venerdì 28 giugno, ore 10:00-13:00; - lezione 3 (3 ore): martedì 2 luglio, ore 10:00-13:00; - lezione 4 (3 ore): giovedì 4 luglio, ore 10:00-13:00; - lezione 5 (2 ore): martedì 9 luglio, ore 11:00-13:00; - lezione 6 (3 ore): venerdì 12 luglio, ore 10:00-13:00. Gli interessati sono invitati a partecipare. I contenuti del corso sono riportati qui di seguito. Research context What happens if the discrete time at which innovations occur for a Markov chain is replaced by a counting process? If the counting process is the Poisson process, one still gets a Markov process. On the contrary, if the counting process is of renewal type, the resulting process is no longer Markovian: It becomes a semi-Markov process. Semi-Markov processes have infinite memory and are naturally related to non-local operators in time such as the so-called Caputo derivative that appears when the expected values of inter-event times diverge. For this reason, there has been a surge of interest on these processes in recent years. Syllabus: 1. From Markov chains to semi-Markov processes: General framework (2 hours) 1.1 From the Poisson process to the fractional Poisson process 1.2 Time change and its consequences 2. Example 1: Continuous-time random walks (CTRWs) and applications (8 hours) 2.1 The diffusion equation and the normal compound Poisson process 2.2 The space-time fractional diffusion equation and CTRWs 2.3 Some applications 3. Example 2: Semi-Markov graph dynamics (6 hours) Pre-requisites The course will be accessible to first year PhD students (Corso di Dottorato in Matematica, Fisica e Applicazioni). In fact, the main pre-requisites are: 1. An introductory course in probability and statistics. 2. Fourier and Laplace transforms. Learning objectives After following this course, the students should be able: 1. To read and understand the recent literature on semi-Markov process 2. To perform calculations on continuous-time random walks and other semi-Markov processes using elementary probabilistic methods Essential references: - Scalas, Enrico (2017) Continuous-time statistics and generalized relaxation equations. European Physical Journal B: Condensed Matter and Complex Systems, 90 (11). p. 209. ISSN 1434-6028. - Baleanu, Dumitru, Diethelm, Kai, Scalas, Enrico and Trujillo, Juan J (2016) Fractional calculus: models and numerical methods (2nd edition). Series on complexity, nonlinearity and chaos, 5. World Scientific, Singapore. ISBN 9789813140035. - Georgiou, Nicos, Kiss, Istvan Z and Scalas, Enrico (2015) Solvable non-Markovian dynamic network. Physical Review E, 92 (4). 042801. ISSN 1539-3755.

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annuncio seminario
by Piccioni, Mauro 21 Jun '19

21 Jun '19

Martedì 25 giugno 2019 alle ore 15 in Aula di Consiglio del Dipartimento di Matematica Guido Castelnuovo, Sapienza Università di Roma Il Prof. Antonio Galves dell'Instituto de Matematica e Estadistica Universidade de Sao Paulo terrà una conferenza dal titolo: CHAINS WITH MEMORY OF VARIABLE LENGTH AS NEUROBIOLOGICAL MODELS Tutti gli interessati sono invitati a partecipare. Per informazioni rivolgersi a Mauro Piccioni.

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