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Pierre Del Moral

    Modèles et méthodes stochastiques
    Mean Field Simulation for Monte Carlo Integration
    Feynman-Kac Formulae
    • 2013

      Focusing on mean field particle models, this book offers a thorough mathematical analysis, emphasizing refined convergence in nonlinear Markov chain models. It explores diverse applications, including parameter estimation in hidden Markov models, stochastic optimization, and nonlinear filtering. Additionally, it addresses multiple target tracking, calibration, uncertainty propagation in numerical codes, rare event simulation, and concepts from financial mathematics, computational physics, and population biology.

      Mean Field Simulation for Monte Carlo Integration
    • 2011

      Feynman-Kac Formulae

      Genealogical and Interacting Particle Systems with Applications

      • 576 pages
      • 21 hours of reading

      Focusing on Feynman-Kac path distributions and interacting particle systems, this book explores their applications across biology, physics, and engineering. It provides a comprehensive and accessible discussion suitable for senior undergraduates to advanced researchers, emphasizing the connections between various fields. The author aims to present modern mathematical theories for analyzing the asymptotic behavior of these models, making it a valuable resource for those with a basic understanding of stochastic processes.

      Feynman-Kac Formulae