Information détaillée concernant le cours

Titre

École d’hiver 2018

Dates

4 - 7 février 2018

Organisateur(s)

M. Yves Tillé, UNINE (Président), Mme Caroline Gillardin, UNINE (coordinatrice)

Intervenant(s)

Prof. Patrice Bertail, Université Paris Nanterre Prof. Peter Bühlmann, ETH, Zurich Prof. Adele Cutler, Utah State University

Description

Professor Patrice Bertail

(Université Paris Nanterre)

Title : Survey sampling for non-parametric statistics and big-data

Abstract

In many situations, statisticians have at their disposal not only data but also weights arising from some survey sampling plan. Ignoring the method used to form the database can often result in a significant bias, thereby completely jeopardizing the estimation in non-parametric statistics. To avoid such drawbacks, variants of the estimators can be adopted, which incorporate the underlying sampling design through the use of the inclusion probabilities. The beginning of the Big Data era henceforth provides an additional motivation for investigating the impact of survey designs on statistical procedures. In contrast to naive sub-sampling, sampling designs with unequal probabilities offer a control over the efficiency of estimators. Use of appropriate sampling algorithms could appear as a natural alternative to distributed/parallelized strategies combined with fully random data splitting. In this course we will present - some basic tools for studying Horvitz-Thompson type of empirical process. In particular we will show how the notion of negative association allows to obtain functional CLT for many sampling plans. - some applications of these ideas in several fields : how to efficiently estimate the tail of a r.v. when too many data are available and should be selected , how to perform gradient descent method in likelihood problem with too many observations. We will conclude the course by some recent concentration results for some sampling designs and their extensions.

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Professor Peter Bühlmann

(ETH, Zurich)

Title : Statistics for High-Dimensional Data

Abstract

We will discuss the topic of high-dimensional statistical inference, a theme which has attracted a lot of interest in statistics, machine learning and a wide range of data analysis problems in science and engineering. The presentations will cover methodology, algorithms, theory as well as applications (mainly) from genetics and genomics.

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Professor Adele Cutler

(Utah State University)

Title : Random Forests, Then and Now

Abstract Random forests (Breiman, 2001) are a popular tool in data science. They are particularly appealing because they are accurate predictors that usually work well without needing to be tuned. Some of the lesser-known features of random forests are that they provide proximity information that can be used to visualize the data from a "forest-eye" point of view. They also provide measures of local variable importance that can be used to help with interpretation. This course gives a comprehensive introduction to the random forests algorithm, including an introduction to tree-based methods and ensembles. Throughout the course, examples will be provided so that students can see random forests applied to real data from various fields. R code for the examples will be made available.

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PDF06.06.2018

Programme

 

Sunday 04.02

Monday 05.02

Tuesday 06.02

Wednesday 07.02

 8h30-10h00

 

Patrice BERTAIL

Patrice BERTAIL

Patrice BERTAIL

10h00-10h30

 

Coffee Break

Coffee Break

Coffee Break

10h30-12h00

 

Adele CUTLER

Peter BÜHLMANN

Peter BÜHLMANN

12h00-14h00

 

 

 

 

14h00-15h00

 

 

 

 

15h30-17h00

Welcome tea

Coffee Break

Coffee Break

 

17h00-18h30

Adele CUTLER

Peter BÜHLMANN

Adele CUTLER

18h30-19h30

Apero

 

Commission

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. 
Suisse Train schedule : From: Geneve 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 29.01.2018
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