LIBROS DEL AUTOR: qi man shao

5 resultados para LIBROS DEL AUTOR: qi man shao

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  • Normal Approximation by Stein’s Method
    Larry Goldstein / Louis H.Y. Chen / Qi-Man Shao
    Since its introduction in 1972, Stein’s method has offered a completely novel way of evaluating the quality of normal approximations. Through its characterizing equation approach, it is able to provide approximation error bounds in a wide variety of situations, even in the presence of complicated dependence. Use of the method thus opens the door to the analysis of random phenom...
    Disponible

    77,97 €

  • Monte Carlo Methods in Bayesian Computation
    Joseph G. Ibrahim / Ming-Hui Chen / Qi-Man Shao
    Dealing with methods for sampling from posterior distributions and how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples, this book addresses such topics as improving simulation accuracy, marginal posterior density estimation, estimation of normalizing constants, constrained parameter problems, highest posterior...
    Disponible

    133,37 €

  • Self-Normalized Processes
    Qi-Man Shao / Tze Leung Lai / Victor H. Peña
    Independent Random Variables.- Classical Limit Theorems, Inequalities and Other Tools.- Self-Normalized Large Deviations.- Weak Convergence of Self-Normalized Sums.- Stein’s Method and Self-Normalized Berry-Esseen Inequality.- Self-Normalized Moderate Deviations and Laws of the Iterated Logarithm.- Cramér-Type Moderate Deviations for Self-Normalized Sums.- Self-Normalized Empir...
    Disponible

    183,09 €

  • Self-Normalized Processes
    Qi-Man Shao / Tze Leung Lai / Victor H. Peña / Victor HPeña
    Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student’s t-statistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly non-linear nature of these processes, the theory experienced a long period of slow development. In recent years there have been a number of important adv...
    Disponible

    157,14 €

  • Monte Carlo Methods in Bayesian Computation
    Joseph G. Ibrahim / Ming-Hui Chen / Qi-Man Shao
    Dealing with methods for sampling from posterior distributions and how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples, this book addresses such topics as improving simulation accuracy, marginal posterior density estimation, estimation of normalizing constants, constrained parameter problems, highest posterior...
    Disponible

    132,02 €