[Statlist] SMURF Workshop on Survey Methods and their use in Related Fields (20 - 22 August 2018)

[Matthieu Wilhelm]

SMURF Workshop: Survey Methods and their use in Related Fields (20 - 22
August 2018)

We are organizing a workshop on survey sampling with the aim at
gathering researchers working in the field together with researchers who
have used the theory of sampling in finite population in a different
field of science.
The goal of such an event is to review the state-of-the-art methods as
well as to shed the light on some future perspectives of survey
sampling, one of the most ancient field of statistics. The topics that
will be covered by the workshop include: Asymptotic theory in finite
population, sampling algorithms, spatial sampling, survey sampling in
environmental studies, sampling and tall data, sampling and robustness,
applications of sampling in MCMC and sampling in machine learning.

The workshop will take place in Neuchatel, Switzerland, 20th - 22nd
August 2018.
Registration are now open via email. See the detailed informations on
the webpage of the event:

https://www.unine.ch/statistics/home/conferences-et-evenements-scient/smurf-workshop-august-2018.html


Confirmed Speakers:

• Simon Barthelme (CNRS – Universite Grenoble-Alpes)
• Yves Berger (University of Southampton)
• Patrice Bertail (Universite Paris X - Nanterre)
• F. Jay Breidt (Colorado State University)
• Yann Busnel (IMT-Atlantique, Rennes)
• Guillaume Chauvet (ENSAI, Rennes)
• Lorenzo Fattorini (Universita degli Studi di Siena)
• Mathieu Gerber (University of Bristol)
• Peisong Han (University of Michigan)
• David Haziza (Universite de Montreal)
• Jae Kwang Kim (Iowa State University)
• Vincent Loonis (INSEE, Paris)
• Hendrik P. Lopuhaa (Delft University of Technology)
• Jean Opsomer (Colorado State University & Westat)
• Yves Tille (Universitéede Neuchatel)
• Takumi Saegusa (University of Maryland)

Organizing committee:
    •    Guillaume Chauvet (ENSAI)
    •    Yves Tille (University of Neuchatel)
    •    Matthieu Wilhelm (University of Neuchatel)