Prague Stochastics 2010


The scientific programme will be aimed at covering a wide range of stochastics, with special emphasis on the topics of this lively field which have been pursued in Prague.

We are pleased to introduce confirmed

PLENARY SPEAKERS

  • Paul Embrechts (ETH Zürich, Switzerland)
  • Jana Jurečková (Univerzita Karlova v Praze, Czech Republic)
  • Friedrich Liese (Universität Rostock, Germany)

INVITED SESSIONS (and their organisers)

Following sessions are organised by renowned specialists and cover main streams of Czech stochastics

  • Applied Probability (organised by Viktor Beneš and Lev Klebanov)
    speakers:
    • Pierre Calka (Université Paris Descartes, France)
    • L.A. Shepp (Rutgers University, USA)
    • Nanny Wermuth (Göteborg Universitet, Sweden)
  • Asymptotic Statistics (organised by Daniel Hlubinka)
    speakers:
    • Marie Hušková (Univerzita Karlova v Praze, Czech Republic)
    • Ingrid van Keilegom (Universite Catholique de Louvain, Belgium)
    • David Mason (University of Delaware, USA)
  • Financial Time Series (organised by Zuzana Prášková)
    speakers:
    • Thomas Mikosch (Københavns Universitet, Denmark)
    • Jürgen Franke (Universität Kaiserslautern, Germany)
    • Jean-Michel Zakoian (Université Lille-3, France)
    • Wolfgang Härdle (Humboldt-Universität, Germany)
  • Information Theory (organised by Tomáš Hobza)
    speakers:
    • Prakash Narayan (University of Maryland, USA)
    • Peter Harremoës (Centrum voor Wiskunde en Informatica, The Netherland)
    • Flemming Topsøe (Københavns Universitet, Denmark)
  • Random Processes (organised by Petr Volf and Petr Lachout)
    speakers:
    • Vygantas Paulauskas (Vilniaus Universitetas, Lithuania)
    • Paul Doukhan (Université de Cergy Pontoise, France)
    • Thomas Scheike (Københavns Universitet, Denmark)
  • Spatial Stochastics (organised by Jan Swart)
    speakers:
    • Werner Nagel (Friedrich-Schiller-Universität Jena, Germany)
    • Frank Redig (Technische Universiteit Eindhoven, The Netherlands)
    • Anita Winter (Technische Universität München, Germany)
  • Stochastic Optimization (organised by Jitka Dupačová and Vlasta Kaňkova)
    speakers:
    • Silvia Vogel (Technische Universität Ilmenau, Germany)
    • David Morton (University of Texas at Austin, USA)
    • Miloš Kopa (Univerzita Karlova v Praze, Czech Republic)
  • Structural Breaks (organised by Marie Hušková)
    speakers:
    • Claudia Kirch (Karlsruhe Institute of Technology, Germany)
    • Lajos Horvath (University of Utah, USA)
    • Daniela Jarušková (České Vysoké Učení Technické, Czech Republic)

SPECIAL SESSIONS

  • 25 years of the L1 density estimation (organised by Luc Devroye)
    preliminary list of speakers:

    Alain Berlinet (Université Montpelier II, France), Gérard Biau (Université Pierre VI, France), Paul Deheuvels (Université Paris VI, France), Miguel Delgado (Universidad Carlos III, Spain), Paul Eggermont (University of Delaware, USA), Wenceslao Gonzáles Manteiga (Universidad de Santiago de Compostela, Spain), Arthur Gretton (Carnegie Mellon University, USA), László Györfi (Budapest University of Technology and Economics, Hungary), Gábor Lugosi (Pompeu Fabra University, Spain), Edward van der Meulen (Katholieke Universiteit Leuven, Belgium), Jan Mielniczuk (Warsaw University of Technology, Poland), Paulo Oliveira (Universidade de Coimbra, Portugal), Alexandre Tsybakov (Université Paris VI, France),

  • Session for Jana Jurečková (organised by Jaromír Antoch)
    speakers:
    • Pranab K. Sen (Chapel Hill, USA)
    • Marc Hallin (Université libre de Bruxelles, Belgium)
    • Ivan Mizera (University of Alberta, Kanada)

CONTRIBUTED TALKS AND POSTERS

Participants are encouraged to present contributed talks, or to submit posters. For each contributed talk, the suggested section has to be indicated, selected from the list below.

  • Applications in biology, industry, genetics, computer science, and telecommunications
  • Asymptotic methods, Large sample theory, and Empirical process techniques
  • Brownian motion, diffusion processes and stochastic analysis
  • Computer intensive methods and resampling
  • Design of experiments
  • Econometrics and statistical methods in finance and insurance
  • Extremes
  • Inference for stochastic processes and random fields
  • Hypothesis testing and model selection
  • Markov processes
  • Multivariate analysis
  • Parametric, semiparametric and adaptive inference
  • Probability and algorithms, simulation
  • Regression
  • Robust and nonparametric methods
  • Self-similar and Levy processes
  • Sequential methods
  • Spatial statistics
  • Statistical methods in communication and information transmission
  • Stochastic models in statistical physics
  • Stochastic optimization and related topics
  • Survival analysis and censored data
  • Time series analysis
  • Open session