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Weak Convergence of Markov Chain Monte Carlo Methods and its Application to Regular Gibbs Sampler
Methodology (stat.ME) Statistics Theory (math.ST)
2010/12/17
In this paper, we introduce the notion of efficiency (consistency) and examine some asymptotic properties of Markov chain Monte Carlo methods. We apply these results to the Gibbs sampler for independe...
Discussion of "Riemann manifold Langevin and Hamiltonian Monte Carlo methods'' by M. Girolami and B. Calderhead
Riemann manifold Langevin Hamiltonian Monte Carlo methods
2010/11/8
This technical report is the union of two contributions to the discussion of the Read Paper Riemann manifold Langevin and Hamiltonian Monte Carlo methods (Calderhead and Girolami, 2010), presented in ...
Introducing Monte Carlo Methods with R Solutions to Odd-Numbered Exercises
Monte Carlo Methods R Solutions Odd-Numbered Exercises
2010/3/9
This partial solution manual to our book Introducing Monte Carlo Methods
with R, published by Springer Verlag in the User R! series, on December 2009,
has been compiled both from our own solutions a...