Monte Carlo Methods

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Monte Carlo Methods

Monte Carlo Methods

Adam M. Johansen and Ludger Evers

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Κατηγορίες:

Mathematics - Probability

Έτος:

2008

Γλώσσα:

english

Σελίδες:

324

Αρχείο:

PDF, 6.20 MB

IPFS:

,

english, 2008

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Ίσως σας ενδιαφέρει

Neal R. — Probabilistic Inference Using Markov Chain Monte Carlo Methods

Ilya M. Sobol — A primer for the Monte Carlo method

Christian Robert, George Casella (auth.) — Introducing Monte Carlo Methods with R

Neal R. — Probabilistic Inference Using Markov Chain Monte Carlo Methods 1993

Rafford M. Neal — Probabilistic Inference Using Markov Chain Monte Carlo Methods

Jean-Michel Marin & Christian P. Robert — Bayesian Essentials with R

R. Neal — Probabilistic Inference Using Markov Chain Monte Carlo Methods

Tanizaki H. — Nonlinear and Non-Gaussian State-Space Modeling with Monte Carlo Techniques: A Survey and Comparative Study

Hisashi Tanizaki — onlinear and non-Gaussian state estimation: A quasi-optimal estimator

Gilks W. R., Richardson S., Spiegelhalter D. J. — Markov Chain Monte Carlo in Practice

Michael Evans, Tim Swartz — Approximating integrals via Monte Carlo and deterministic methods

Christian Robert; George Casella — Monte Carlo Statistical Methods

Olivier Cappé, Eric Moulines, Tobias Rydén (auth.) — Inference in Hidden Markov Models

Jean-Michel Marin, Christian Robert — Bayesian core: a practical approach to computational Bayesian statistics

Divulgación — Lecturas matemáticas

W.R. Gilks, S. Richardson, David Spiegelhalter — Markov Chain Monte Carlo in Practice

Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev — Handbook of Monte Carlo Methods

Geof H. Givens, Jennifer A. Hoeting(auth.) — Computational Statistics, Second Edition

Faming Liang, Chuanhai Liu, Raymond Carroll — Advanced Markov chain Monte Carlo methods

Müller, Peter; Paulino, Carlos Daniel; Turkman, M. Antónia Amaral — Computational Bayesian statistics : an introduction

Faming Liang; Chuanhai Liu; Raymond Carroll — Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples

Steve Brooks, Andrew Gelman, Galin L. Jones, Xiao-Li Meng — Handbook of Markov Chain Monte Carlo

Brooks, Steve — Handbook of Markov chain Monte Carlo

Christian Robert, George Casella — Monte Carlo Statistical Methods

Ming-Hui Chen, Qi-Man Shao, Joseph G. Ibrahim (auth.) — Monte Carlo Methods in Bayesian Computation

Jean-Michel Marin, Christian P. Robert — Bayesian Essentials with R

Jean-Michel Marin & Christian P. Robert — Bayesian Essentials with R

Martin A. Tanner (auth.) — Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions

Dani Gamerman, Hedibert Freitas Lopes — Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference

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