denis belomestny

Grid   List

  1. Ebook
    Sofort lieferbar
    This is an advanced guide to optimal stopping and control, focusing on advanced Monte Carlo simulation and its application to finance. Written for quantitative finance practitioners and researchers...
    106,99 €
    Alle Preise inkl. MwSt
  2. Ebook
    Sofort lieferbar
    The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Lévy processes. These days, statistics for stochastic processes is a live...
    48,14 €
    Alle Preise inkl. MwSt
  3. Ebook
    Sofort lieferbar
    This book contains contributions from the participants of the international conference 'Foundations of Modern Statistics' which took place at Weierstrass Institute for Applied Analysis and Stochast...
    181,89 €
    Alle Preise inkl. MwSt
  4. Taschenbuch
    Bezug 11-15
    The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Lévy processes. These days, statistics for stochastic processes is a l...
    48,14 €
    Alle Preise inkl. MwSt | Versandkostenfrei
  5. Buch
    Bezug 11-15
    This book contains contributions from the participants of the international conference 'Foundations of Modern Statistics' which took place at Weierstrass Institute for Applied Analysis and Stoch...
    192,59 €
    Alle Preise inkl. MwSt | Versandkostenfrei
  6. Buch
    Vorbestellbar
    The book is devoted to contemporary variance reduction methods for Monte Carlo and Markov Chain (MCMC) with Machine Learning and Finance applications. We present new approaches based on martingale ...
    173,14 €
    Alle Preise inkl. MwSt | Versandkostenfrei
  7. Taschenbuch
    Print on Demand
    This book contains contributions from the participants of the international conference 'Foundations of Modern Statistics' which took place at Weierstrass Institute for Applied Analysis and Stoch...
    192,59 €
    Alle Preise inkl. MwSt | Versandkostenfrei
  1. 1
<%--for search--%>