[图书][B] Markov chain Monte Carlo: stochastic simulation for Bayesian inference
D Gamerman, HF Lopes - 2006 - taylorfrancis.com
While there have been few theoretical contributions on the Markov Chain Monte Carlo
(MCMC) methods in the past decade, current understanding and application of MCMC to the …
(MCMC) methods in the past decade, current understanding and application of MCMC to the …
[图书][B] Finite mixture and Markov switching models
S Frühwirth-Schnatter - 2006 - Springer
Modelling based on finite mixture distributions is a rapidly developing area with the range of
applications exploding. Finite mixture models are nowadays applied in such diverse areas …
applications exploding. Finite mixture models are nowadays applied in such diverse areas …
[图书][B] Statistical inference and simulation for spatial point processes
J Moller, RP Waagepetersen - 2003 - books.google.com
Spatial point processes play a fundamental role in spatial statistics and today they are an
active area of research with many new applications. Although other published works …
active area of research with many new applications. Although other published works …
[图书][B] Computational statistics
GH Givens, JA Hoeting - 2012 - books.google.com
This new edition continues to serve as a comprehensive guide to modern and classical
methods of statistical computing. The book is comprised of four main parts spanning the …
methods of statistical computing. The book is comprised of four main parts spanning the …
A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces
CJFT Braak - Statistics and Computing, 2006 - Springer
Differential Evolution (DE) is a simple genetic algorithm for numerical optimization in real
parameter spaces. In a statistical context one would not just want the optimum but also its …
parameter spaces. In a statistical context one would not just want the optimum but also its …
[图书][B] Bayesian biostatistics
E Lesaffre, AB Lawson - 2012 - books.google.com
The growth of biostatistics has been phenomenal in recent years and has been marked by
considerable technical innovation in both methodology and computational practicality. One …
considerable technical innovation in both methodology and computational practicality. One …
Differential evolution Markov chain with snooker updater and fewer chains
CJF Ter Braak, JA Vrugt - Statistics and Computing, 2008 - Springer
Abstract Differential Evolution Markov Chain (DE-MC) is an adaptive MCMC algorithm, in
which multiple chains are run in parallel. Standard DE-MC requires at least N= 2 d chains to …
which multiple chains are run in parallel. Standard DE-MC requires at least N= 2 d chains to …
[图书][B] An introduction to Bayesian analysis: theory and methods
JK Ghosh, M Delampady, T Samanta - 2007 - books.google.com
This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory,
methods, and applications. Starting from basic statistics, undergraduate calculus and linear …
methods, and applications. Starting from basic statistics, undergraduate calculus and linear …
Model choice in gene mapping: what and why
MJ Sillanpää, J Corander - Trends in Genetics, 2002 - cell.com
The choice of an appropriate genetic model describing the genetic architecture underlying a
character of interest is an inherent part of the gene mapping studies of human and other …
character of interest is an inherent part of the gene mapping studies of human and other …
Trans-dimensional markov chain monte carlo
PJ Green - Oxford Statistical Science Series, 2003 - books.google.com
Readers of this book will need no further convincing of the importance of Markov chain
Monte Carlo (MCMC) in numerical calculations for highly structured stochastic systems, and …
Monte Carlo (MCMC) in numerical calculations for highly structured stochastic systems, and …