LIBROS DEL AUTOR: ming hui chen

5 resultados para LIBROS DEL AUTOR: ming hui chen

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  • Bayesian Survival Analysis
    Debajyoti Sinha / Joseph G. Ibrahim / Ming-Hui Chen
    Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty model...
    Disponible

    46,87 €

  • 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 €

  • Bayesian Survival Analysis
    Debajyoti Sinha / Joseph G. Ibrahim / Ming-Hui Chen
    Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studie...
    Disponible

    242,39 €

  • Bayesian Survival Analysis
    Debajyoti Sinha / Joseph G. Ibrahim / Ming-Hui Chen
    Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studie...
    Disponible

    242,22 €

  • 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 €