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Fwd: Two-year Postdoc in Statistics for COVID-19 modelling, Oslo, Norway
by DipIMAP 14 Dec '20

14 Dec '20

Forwardo anche questo con piacere... GPST > Begin forwarded message: > > From: Arnoldo Frigessi <arnoldo.frigessi(a)medisin.uio.no> > Subject: Two-year Postdoc in Statistics for COVID-19 modelling, Oslo, Norway > Date: 13 December 2020 at 22.15 GMT+1 > To: DipIMAP <scaliato(a)axp.mat.uniroma2.it> > > Two-year Postdoctoral Position in Statistics for COVID-19 modelling, Oslo, Norway > > The postdoc will develop new statistical methodology and models to describe and predict the dynamics of the COVID-19 pandemics in Norway and across the Nordic countries. This is part of a new exciting Nordic collaboration project financed by NordForsk with Tom Britton, Stockholm University, Arnoldo Frigessi, Oslo University and Lasse Leskelä, Alto University as co-PIs. If you are selected as postdoc, you will work in close collaboration with the three Nordic teams. We will work on the covid-19 dynamics in space and type, also across the Nordic borders; we will exploit human mobility data in real time described by telecom mobility data; develop methods for probabilistic short term prediction; evaluate and compare alternative interventions. The project has unique access to COVID-19 data streams. There is a possibility to extend the period for an additional year. You can find some more information here: https://nordicmathcovid.cs.aalto.fi > > The postdoc will be employed at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo. You have a strong competence in statistical modelling and inference and have excellent skills in coding. > > This is a unique project, with multiple opportunities also to develop your own research themes, building your curriculum towards a tenure track/permanent position in a leading university. > > To apply, and for more details on the positions, see here: https://www.jobbnorge.no/en/available-jobs/job/196535/2-year-postdoctoral-p… > > Deadline: 11th January 2021 > > We offer > * Salary up to 55.000 Euro per annum depending on qualifications. > * A career development programme designed for researchers at the beginning of their career. > * Health insurance and very attractive "Scandinavian" welfare benefits. > * A generous pension agreement. > * Oslo's family-friendly environment with its rich opportunities for culture and outdoor activities. > > Arnoldo Frigessi

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Announcement: STAR Online Seminar
by michele giordano 14 Dec '20

14 Dec '20

Dear all, This is a reminder for the: STAR Online Seminars. - The seminar will be held Friday 18. December from 11:00-12:00 . You will recieve the link for the Zoom room by registering for the seminar with the link provided at the end of this mail. The lecture will last for 45 minutes + questions. This week's speaker is Federica Masiero - Università degli Studi di Milano-Bicocca, with the seminar: Regularizing properties and HJB equations for stochastic problems with delay Abstract: In this talk we consider stochastic differential equations with delay. It is well known that the Ornstein-Uhlenbeck transition semigroup doesn’t have regularizing properties, such as the strong Feller property. So in general, the associated Hamilton-Jacobi-Bellman (HJB) equation cannot be solved in mild sense by a classical fixed point argument. We present a result of existence of regular solutions for the HJB equations related to a stochastic controlled equation with delay in the control and in the case when, as it often occurs in applications, the objective function depends only on the “present” of the state and control variable. The result is based on partial regularization results for the associated Ornstein-Uhlenbeck semigroup. In analogy, we investigate partial reularizing properties in the case of delay in the state and with a special dependence on the past trajectory, and we solve in mild sense the associated HJB equation and the stochastic controlled problem related. The talk is mainly based on joint works with F. Gozzi and G. Tessitore. After the end of the seminar, you are invited to bring a cup of coffee/tea and have a chat in our Coffee in the Stars here you will have the chance to talk and interact with the other persons that attended the seminar, and have a digital "coffee break". We are looking forward to see you, online! Best regards, Michele Giordano Doctoral research fellow Department of Mathematics University of Oslo, Norway ------------------------------------------------------------------------- Register for the seminar: https://nettskjema.no/a/159180 Link for the seminar webpage: https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…

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Fwd: PhD Position in Statistics at the University of Amsterdam
by fcollet＠math.unipd.it 12 Dec '20

12 Dec '20

Ricevo ed inoltro. Buon weekend, Francesca ----- Forwarded message from Eni Musta <e.musta(a)uva.nl> ----- Dear colleagues, Applications are invited for a PhD position in Statistics at the Korteweg-de Vries Institute for Mathematics, University of Amsterdam. The PhD candidate will be supervised by Eni Musta and will work on the project "Shape-constrained estimation in survival analysis". The project aims at development of statistical methodology and theory for cure models using shape-constrained techniques. We are looking for candidates with a strong background in Mathematical Statistics/Statistics or Probability and interest in statistical methodology/theory. More details about the project and the application procedure can be found at: <https://www.uva.nl/en/content/vacancies/2020/12/20-753-phd-position-in-stat…>https://www.uva.nl/en/content/vacancies/2020/12/20-753-phd-position-in-stat…<https://www.uva.nl/en/content/vacancies/2020/12/20-753-phd-position-in-stat…><https://www.uva.nl/en/content/vacancies/2020/12/20-753-phd-position-in-stat…> Best regards, Eni Musta ----- End forwarded message -----

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Fwd: Two 3-year postdocs in statistics and mathematics for personalised breast cancer therapy, University of Oslo, Norway
by DipIMAP 11 Dec '20

11 Dec '20

Forwardo volentieri... Gianpaolo Scalia Tomba Begin forwarded message: From: Arnoldo Frigessi <arnoldo.frigessi(a)medisin.uio.no> Subject: Two 3-year postdocs in statistics and mathematics for personalised breast cancer therapy, University of Oslo, Norway Date: 4 December 2020 at 11.41 GMT+1 To: DipIMAP <scaliato(a)axp.mat.uniroma2.it> -----Original Message----- Are you interested in developing new mathematical, statistical or computational models and methods to determine the best personalised treatment for each breast cancer patient? Applications are invited for two postdoc positions of 3 years each at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo. Ideally we wish to hire one postdoc with a strong competence in mathematical modelling and numerical analysis and one postdoc with a strong competence in statistical modelling, inference and computational statistics. The two postdocs will play a key scientific role in our two cross-disciplinary international projects funded by the European Union Horizon 2020 and EraCoSysMed. The project team includes experts in statistical and mathematical modelling of cancer, in molecular biology, genomics and clinical oncology. The project has access to unique data, including clinical, imaging and high-throughput genomic data from breast cancer patients recruited in concluded clinical trials. You find more information on the project here: www.rescuer.uio.no To apply, and for more details on the positions, see here: https://www.jobbnorge.no/en/available-jobs/job/196515/two-3-year-postdoctor… Deadline: 11th January 2021 We offer * Salary up to 55.000 Euro per annum depending on qualifications. * A career development programme designed for researchers at the beginning of their career. * Possibility to make teaching and consulting experiences, if wished so * Health insurance and very attractive "Scandinavian" welfare benefits. * A generous pension agreement. * Oslo's family-friendly environment with its rich opportunities for culture and outdoor activities. ---------- Arnoldo Frigessi professor University of Oslo Oslo University Hospital Norway Oslo Centre for Biostatistics and Epidemiology University of Oslo and Oslo University Hospital Director http://www.med.uio.no/imb/english/research/centres/ocbe/ BigInsight Centre for research based Innovation Director http://www.biginsight.no contact: +4795735574 http://www.med.uio.no/imb/english/people/aca/frigessi/ <http://www.med.uio.no/imb/english/people/aca/frigessi/>

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Webinar at Unibo: A Kolmogorov PDE with non-linear drift: analysis and applications to stochastic filtering
by Andrea Pascucci 10 Dec '20

10 Dec '20

Giovedì 10 Dicembre, ore 17:00 on-line Antonello Pesce terrà un seminario dal titolo A Kolmogorov PDE with non-linear drift: analysis and applications to stochastic filtering Le istruzioni per partecipare al link https://www.dm.unibo.it/seminari/ -- --------------------------------------------------------------- Andrea Pascucci andrea.pascucci(a)unibo.it Dipartimento di Matematica P.zza di Porta S. Donato, 5 40126 Bologna - Italy Office Tel. +39-0512094428 Fax +39 0510821834 https://sites.google.com/view/andrea-pascucci/ Skype: andrea.pascucci https://www.mendeley.com/profiles/andrea-pascucci3/ Get DropBox here: http://db.tt/Y2GN2TCx ---------------------------------------------------------------

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Pisa Online Seminars - Jie-Xiang Zhu (Tuesday, Dec. 15 at 14:00)
by Giacomo Filippo Di Gesu 09 Dec '20

09 Dec '20

Dear colleagues, I would like to announce the following online seminar organized by the Probability group of the University of Pisa. The talk will be accessible under the link Click here to join the meeting<https://teams.microsoft.com/l/meetup-join/19%3A17115d7f6ef44c5e91974362906c…> Best regards, Giacomo Tuesday, Dec. 15, 14:00 Speaker: Jie-Xiang Zhu (Fudan University / Université de Toulouse) Title: On optimal matching problem for Gaussian samples with dimension d ≥ 3 Abstract: Optimal matching problems are very classical in computer science, physics and mathematics. In this talk, we will discuss the related rates of convergence of empirical measures associated with n independent random points, whose common distribution is the normal Gaussian distribution in Euclidean space with dimension d ≥ 3. Our method is based on the PDE and mass transportation approach developed by L. Ambrosio, F. Stra and D. Trevisan. _____________________ Giacomo Di Gesù Dipartimento di Matematica Università di Pisa Largo Bruno Pontecorvo 5 56127 - Pisa, Italy giacomo.digesu(a)unipi.it

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LTI@UniTO seminar Wednesday November 25, 3pm, Albert Menkveld (VU Amsterdam)
by Luca Regis 09 Dec '20

09 Dec '20

|| || |Dear colleagues, | ||||||| LTI@UniTO (www.carloalberto.org/lti <www.carloalberto.org/lti>) and Collegio Carlo Alberto are pleased to invite you to the following webinar in Finance: | | “Equilibrium Bid-Price Dispersion” Speaker: Albert Menkveld (VU Amsterdam), _https://albertjmenkveld.com/about/ <https://albertjmenkveld.com/about/> _ Abstract: If bidding in a common-value auction is costly and if bidders do not know how many others are also bidding, all equilibria are in mixed strategies. Participation is probabilistic and bid prices are dispersed. The symmetric equilibrium is unique and yields simple analytic expressions. We use them to, for example, show that bid prices exhibit negative skewness. The expressions are further used to estimate the model based on bidding on an S&P500 security. We find that the number of bidders declined over time, making liquidity supply fragile. You can join the webinar via zoom at the following link: | https://us02web.zoom.us/j/81439851376?pwd=YUFsWXFvNldTaEMrTW55VE5kaXJiQT09 <https://us02web.zoom.us/j/81439851376?pwd=YUFsWXFvNldTaEMrTW55VE5kaXJiQT09> Meeting ID: 814 3985 1376 Passcode: 753282 Best regards, Luca Regis -- Luca Regis Associate Professor Department of Economics and Statistics (ESOMAS) University of Torino sites.google.com/view/lucaregis Office: +39 011 670 6065 www.carloalberto.org/lti ||

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Post-doc position at University of Milano on "Extension of Martingale Optimal Transport"
by Luciano Campi 09 Dec '20

09 Dec '20

Dear colleagues, I would be grateful if you could bring to the attention of your best graduate students and PhD holders that a two-year long post-doc research positions is available at the Department of Mathematics at the University of Milano. The research line of the post doc position concerns "Extension of Martingale Optimal Transport Theory" and will be coordinated by Prof. Luciano Campi and Prof. Marco Frittelli. All interested candidates are encouraged to participate to the selection procedure. All information (in Italian and in English) about the position, the application and the deadlines can be found at: https://www.unimi.it/it/ricerca/fare-ricerca-da-noi/assegni-di-ricerca <https://www.unimi.it/it/ricerca/fare-ricerca-da-noi/assegni-di-ricerca> https://www.unimi.it/sites/default/files/2020-11/bando%20assegni%20A%202020… <https://www.unimi.it/sites/default/files/2020-11/bando%20assegni%20A%202020…> Thanks very much Luciano Campi -------------------------------------------------------- Luciano Campi Full Professor University of Milan Department of Mathematics Email: luciano.campi(a)unimi.it Web: sites.google.com/site/lucianocampi1

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Avviso di Seminario
by Domenico Marinucci 09 Dec '20

09 Dec '20

Avviso di Seminario Speaker: Michele Salvi (Università di Roma Tor Vergata) Orario: Lunedì 14 dicembre, ore 13 Titolo: Scale-free percolation in continuous space Link al collegamento su Teams: https://teams.microsoft.com/l/meetup-join/19%3ameeting_MWI2ZWY1N2QtMTQ3Zi00… Abstract: The scale-free percolation random graph features three fundamental properties that are often present in large real-world structures (social networks, communication networks, inter-banking systems and so on), but which are never present at once in classical models: (1) Scale-free: the degree of the nodes follows a power law; (2) Small-world: two nodes are typically at a very small graph distance; (3) Positive clustering coefficient: two nodes with a common neighbour have a good chance to be linked. We study a continuous version of scale-free percolation and its possible application to the statistical analysis of a dataset provided by the French Ministry of Agriculture. We discuss some stochastic processes (random walks and particle systems) on this kind of structures with the final goal of understanding how an epidemic would spread. Il seminario rientra tra le attività del Progetto di eccellenza MIUR 2018-2022 Math@Tov. Grazie per l'attenzione, Domenico Marinucci -- @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Domenico Marinucci Dipartimento di Matematica Università di Roma Tor Vergata https://www.mat.uniroma2.it/~marinucc/ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@

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Padova Online Seminar by Gianmarco Bet (Università di Firenze) [Friday, Dec. 18 at 11.30]
by alessandra bianchi 09 Dec '20

09 Dec '20

Dear Colleagues, We would like to invite you to the following Probability seminar that will take place on December 18 at 11.30 by the zoom platform. ________________________________________________________ Speaker: Gianmarco Bet (Università di Firenze) Title: Detecting anomalies in complex networks 18 DECEMBER (Friday) - 11:30 zoom link: TBA (available on the webpage https://www.math.unipd.it/~bianchi/seminari/ ) Abstract: Recently there has been an increasing interest in the development of statistical techniques and algorithms that exploit the structure of large complex-network data to analyze networks more efficiently. For this talk, I will focus on detection problems. In this context, the goal is to detect the presence of some sort of anomaly in the network, and possibly even identify the nodes/edges responsible. Our work is inspired by the problem of detecting so-called botnets. Examples are fake user profiles in a social network or servers infected by a computer virus on the internet. Typically a botnet represents a potentially malicious anomaly in the network, and thus it is of great practical interest to detect its presence and, when detected, to identify the corresponding vertices. Accordingly, numerous empirical studies have analyzed botnet detection problems and techniques. However, theoretical models and algorithmic guarantees are missing so far. We introduce a simplified model for a botnet, and approach the detection problem from a statistical perspective. More precisely, under the null hypothesis we model the network as a sample from a geometric random graph, whereas under the alternative hypothesis there are a few botnet vertices that ignore the underlying geometry and simply connect to other vertices in an independent fashion. We present two statistical tests to detect the presence of these botnets, and we show that they are asymptotically powerful, i.e., they correctly distinguish the null and the alternative with probability tending to one as the number of vertices increases. We also propose a method to identify the botnet vertices. We will argue, using numerical simulations, that our tests perform well for finite networks, even when the underlying graph model is slightly perturbed. Our work is not limited in scope to botnet detection, and in fact is relevant whenever the nature of the anomaly to be detected is a change in the underlying connection criteria. Based on joint work with Kay Bogerd (TU/e), Rui Pires da Silva Castro (TU/e) and Remco van der Hofstad (TU/e). -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy phone: +39 049 827 14 06 fax: +39 049 827 14 28 e-mail: bianchi(a)math.unipd.it http://www.math.unipd.it/~bianchi/

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