Archive for workshop

state of the art in sampling & clustering [workshop]

Posted in Books, pictures, Statistics, Travel, University life with tags , , , , , , , , , , on September 17, 2020 by xi'an

Next month, I am taking part in a workshop on sampling & clustering at the Max-Planck-Institut für Physik in Garching, Germany (near München). By giving a three hour introduction to ABC, as I did three years ago in Autrans. Being there and talking with local researchers if the sanitary conditions allow. From my office otherwise. Other speakers include Michael Betancourt on HMC and Johannes Buchner on nested sampling. The remote participation to this MPI workshop is both open and free, but participants must register before 18 September, namely tomorrow.

from Svalbard [with snow]

Posted in Statistics with tags , , , , , , , , , , , , on April 25, 2020 by xi'an

Statistical methods for Hawkes processes

Posted in pictures, Statistics, Travel, University life with tags , , , , , , on February 6, 2020 by xi'an

There will be a workshop on Hawkes processes in Paris, 10 March 2020, Sorbonne University, with the following speakers

  • Martin Bompaire (Critéo)
  • Félix Cheysson (AgroParisTech/INRA)
  • Simon Clinet (Keio University)
  • Eva Löcherbach (Université Paris 1 Panthéon-Sorbonne)
  • Marcello Rambaldi (Capital Fund Management)
  • Judith Rousseau (Université Paris-Dauphine & Oxford University)

SMC 2020 [en Madrid]

Posted in pictures, Statistics, Travel, University life with tags , , , , , , , , , , , on January 30, 2020 by xi'an

Palacio Real from Casa del Campo, on Nov. 10, 2011, during a pleasant bike ride through the outskirts of Madrid and along the renovated banks of Rio ManzanaresAn announcement for the incoming SMC 2020 workshop, taking place in Madrid next 27-29 of May! The previous workshops were in Paris in 2015 (at ENSAE-CREST) and Uppsala in 2017.  This workshop is organised by my friends Víctor Elvira and Joaquín Míguez. With very affordable registration fees and an open call for posters. Here are the invited speakers (so far):

Deniz Akyildiz (University of Warwick)
Christophe Andrieu (University of Bristol)
Nicolas Chopin (ENSAE-CREST)
Dan Crisan (Imperial College London)
Jana de Wiljes (University of Potsdam)
Pierre Del Moral (INRIA)
Petar M. Djuric (Stony Brook University)
Randal Douc (TELECOM SudParis)
Arnaud Doucet (University of Oxford)
Ajay Jasra (National University of Singapore)
Nikolas Kantas (Imperial College London)
Simon Maskell (University of Liverpool)
Lawrence Murray (Uber AI)
François Septier (Université Bretagne Sud)
Sumeetpal Singh (University of Cambridge)
Arno Solin (Aalto University)
Matti Vihola (University of Jyväskylä)
Anna Wigren (Uppsala University)

MiMo2020

Posted in Statistics with tags , , , , , , , , on January 24, 2020 by xi'an

On 26 and 27 March 2020, the maths department of the Université of Rouen, Normandy, France, organizes a (free) workshop on mixture distributions. With the following speakers

    • Christophe Biernacki  (Laboratoire Paul Painlevé, Univ. Lille 1 et INRIA)
    • Vincent Brault (Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes)
    • Gilles Celeux  (Laboratoire de Mathématiques d’Orsay, Univ. Paris Sud et INRIA)
    • Elisabeth Gassiat  (Laboratoire de Mathématiques d’Orsay, Univ. Paris Sud)
    • Van Hà Hoang  (Laboratoire de Mathématique Raphaël Salem, Univ. Rouen Normandie)
    • Hajo Holzmann  (Philipps-University Marburg, Germany)
    • Dimitri Karlis  (Department of Statistics, Athens University of Economics and Business, Greece)
    • Trung Tin Nguyen (LMNO, Univ. Caen Normandie)
    • Andrea Rau  (Département de Génétique Animale, INRA, Jouy en Josas)
    • Pierre Vandekerkhove  (Laboratoire d’Analyse et de Mathématiques Appliquées, Univ. Paris-Est Marne-la-Vallée)
    • Cinzia Viroli  (Department of Statistical Sciences, Universita di Bologna, Italia)

Unfortunately, since this is my former department, I will not be able to attend as I am taking part into the SIAM Conference on Uncertainty Quantification (UQ20), on the very same days. In a session on likelihood-free inference.