Stochastics Meeting Lunteren 2011
This is an archive page.
Overview
The 40th annual meeting of the Dutch probability and statistics community.
- When
- November 14-16, 2011
- Where
- Organisers
-
W.Th.F. den Hollander (Leiden)
M.N.M. van Lieshout (CWI/Twente)
A.W. van der Vaart (Vrije Universiteit) - Sponsors
-
Stochastics - Theoretical
and Applied Research (STAR) cluster
Netherlands Society for Statistics and Operations Research through its Gebiedsbestuur Exacte Wetenschappen (NWO)
Speakers
- Peter Bickel (Berkeley)
- Asymptotic statistical inference for unlabelled graphs: A partial survey, nonparametric model, block models and modularities.
- Fitting methods for average degrees of all orders and theory for average degree going to infinity.
- Alexander Holroyd (Microsoft)
- Invariant Matching. Part I.
- Invariant Matching. Part II.
- Niels Keiding (Copenhagen)
- The current duration approach to estimating the distribution of time to pregnancy.
- Standardization vs. modelling for confounder control in observational studies: A historical perspective.
- Wilfrid Kendall (Warwick)
- Random lines and effective transportation networks.
- Shy couplings, CAT(0) spaces, and the lion and man.
- Sylvie Meleard (Paris)
- Random modeling for adaptive dynamics. Part I.
- Random modeling for adaptive dynamics. Part II.
- Markus Reiss (Berlin)
- Estimation of the Levy triplet: Statistical inverse problem and Donsker Theorem. Part I.
- Estimation of the Levy triplet: Statistical inverse problem and Donsker Theorem. Part II.
Posters
- Julian Martinez
- Variational description of Gibbs-non-Gibbs dynamical transitions.
- Abdolreza Mohammadi
- Using mixture of Gamma distributions for Bayesian analysis in an M/G/1 queue with optional second service.
- Renato S. dos Santos
- Transient random walk in the exclusion process.
- Moritz Schauer
- Guided proposals for diffusion bridges.
- Botond Szabo
- Understanding the asymptotic behaviour of empirical Bayes methods.
- Alessio Troiani
- Metastability for Kawasaki dynamics with two types of particles.