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Titre

École d’hiver 2020

Dates

2 - 5 février 2020

Responsable de l'activité

Sebastian Engelke

Organisateur(s)

Sebastian Engelke, UNIGE (Président); Yves Tillé, UNINE (Vice-président); Caroline Gillardin, UNINE (coordinatrice)

 

Intervenant(s)

Prof. Michael Bronstein (Imperial College London (Workshop GeoCow-Sunday 2 Feb.))

Prof. Sylvia Frühwirth-Schnatter (Vienna University of Economics and Business)

Prof. Johan Segers (Université Catholique de Louvain)

 

Description

Prof. Michael Bronstein (Imperial College London)

 

Title : Minicourse on Deep Learning on Graphs and Manifolds - Numerical computation for statistics

 

Workshop GeoCow-Sunday 2 February- 11AM-5PM- salle du centre de conférence de la commune. https://sites.google.com/view/geocow2020/home. The first part of the event consists in a 1-day minicourse on deep learning on graphs and manifolds, designed as an introduction for students, young researchers, as well any interested participant.

 

Prof. Sylvia Frühwirth-Schnatter (Vienna University of Economics and Business)

 

Title : Finite Mixture and Markov Switching Models  - The Bayesian perspective

 

Finite mixture models and their extensions to  mixture of  experts and Markov switching models are very popular in analysing data of multiple kinds. These models  are useful  for flexible modelling,  density estimation and unsupervised clustering both in statistics and econometrics. The course consists of three lectures that discuss mixture models from a Bayesian perspective.  The first lecture provides an introduction to finite mixture models and discusses statistical inference for mixtures with a known number of components using Markov chain Monte Carlo methods.  The second lecture addresses the challenging problem of choosing  the number of components for finite mixture and discusses methods such as marginal likelihoods and sparse finite mixtures. Special emphasis will be put on the difference between estimating the number of components and the number of clusters in the unknown partition.  The third lecture discusses two main extensions of finite mixtures, namely mixtures-of-experts models and Markov switching models.  Throughout all lectures,  applications to several benchmark data sets example will be provided for illustration.  The course concludes with an exercise session.

 

Prof. Johan Segers (Université Catholique de Louvain)

 

Title : "Empirical Processes with Applications in Statistics"

 

The title of the course is shamelessly paraphrased from the great book from 1996 by A.W. van der Vaart and J.A. Wellner, upon which this lecture series is heavily inspired. After lying the groundwork of the Hoffmann-Jorgensen theory of weak convergence of bounded stochastic processes, we will study functional laws of large numbers and functional central limit theorems for stochastic processes that arise when sample averages are computed for an infinite family of functions. The convergence mode is sufficiently strong to exert control over the whole trajectory of the process. Having such a firm grip is crucial for establishing limit distributions of estimators and test statistics that arise as suprema, integrals, maximisers, inverses, or other functionals applied to the empirical process. The teacher's predilections will shine through via illustrations from classical and recent advances in copula theory and extreme value analysis. Master the great tool of empirical processes, and no sequence of statistics will be safe from your analysis anymore.

 

Program

 

 

 

 
 

Sunday 02.02

 
 

Monday 03.02

 
 

Tuesday 04.02

 
 

Wednesday 05.02

 
 

 8h30-10h00

 
 

 

 
 

Sylvia Frühwirth-Schnatter

 
 

Johan Segers

 
 

Johan Segers

 
 

10h00-10h30

 
 

 

 
 

Coffee Break

 
 

Coffee Break

 
 

Coffee Break

 
 

10h30-12h00

 
 

11h00-17h00

 

Deep Learning on Graphs and Manifolds

 

Michael Bronstein

 

 

 

(L'exposé aura lieu dans la salle des congrès des Diablerets, salle de gymnastique).

 
 

Comité scientifique

 
 

Sylvia Frühwirth-Schnatter

 
 

Sylvia Frühwirth-Schnatter (exercises)

 
 

12h00-14h00

 
 

 

 
 

 

 
 

 

 
 

15h30-17h00

 
 

Coffee Break

 
 

Coffee Break

 
 

 

 
 

17h00-18h30

 
 

Sylvia Frühwirth-Schnatter

 
 

Johan Segers

 
 

18h30-19h30

 
 

Apero

 
 

 

 
 

 

 
 

19h30-21h00

 
 

Dinner

 
 

Dinner

 
Dinner
Lieu

Les Diablerets (VD)

Information

Eurotel Victoria

 

1865 Les Diablerets (VD)

 

www.eurotel-victoria.ch/diablerets/

 

Accès aux Diablerets :

 

EN VOITURE Autoroute A9, direction Grand St-Bernard, sortie Aigle. Puis la route Aigle - Les Diablerets - Col du Pillon (20km). 

 

EN AVION Aéroports internationaux de: - Genève (120 km) - Zürich (250 km) - Bâle (200 km)

 

EN TRAIN  (HORAIRE DES TRAINS - RAILWAY TIMETABLE)  International TGV Paris - Lausanne. En hiver, TGV des Neiges Paris - Lausanne - Aigle.

 

Swiss Train schedule : From: Geneva airport, To: Les Diablerets, gare. Trains directs jusqu'à Aigle. Ensuite train de montagne A.S.D (Aigle - Sépey - Diablerets) Durée des trajets: Lausanne - Aigle (30 minutes), Aigle - Les Diablerets (50 minutes).

 

Visa pour la Suisse (Swiss Online Visa application)

 

Météo en suisse (meteoswiss.admin.ch)

 

Frais

Doctorant CUSO chambre double: 200 CHF

Doctorant CUSO chambre simple: 350 CHF

Post-doctorant CUSO chambre double: 300 CHF

Post-doctorant CUSO chambre simple: 450 CHF

Professeur CUSO chambre double: 400 CHF

Professeur CUSO chambre simple: 550 CHF

Non CUSO universitaire chambre double: 850 CHF

Non CUSO universitaire chambre simple: 1000 CHF

Non CUSO privé chambre double: 1300 CHF

Non CUSO privé chambre simple: 1500 CHF

 

Lors de votre inscription, merci de bien vouloir indiquer dans la zone commentaire si vous désirez une chambre simple, ou double et le nom de la personne avec qui vous souhaiteriez partager votre chambre. Dans le cas où rien n'est indiqué, une chambre simple sera réservée.

 

Inscription

Versement sur compte postal:

 

CUSO

CCP 12-1873-8

Neuchâtel

BIC : POFICHBEXXX

IBAN : CH0509000000120018738.

 

Merci d'écrire votre nom lors du paiement. Thank you to write your name on the payment wording.

 

Places

50

Délai d'inscription 25.01.2020
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