搜索结果: 1-15 共查到“理论统计学 Gibbs”相关记录17条 . 查询时间(0.15 秒)
Light tails: Gibbs conditional principle under extreme deviation
Light tails Gibbs conditional principle extreme deviation
2013/6/14
Let $X_{1},..,X_{n}$ denote an i.i.d. sample with light tail distribution and $S_{1}^{n}$ denote the sum of its terms; let $a_{n}$ be a real sequence\ going to infinity with $n.$\ In a previous paper ...
Transportation inequalities: From Poisson to Gibbs measures
Gibbs measures Poisson point processes transportation inequalities
2011/3/21
We establish an optimal transportation inequality for the Poisson measure on the configuration space. Furthermore, under the Dobrushin uniqueness condition, we obtain a sharp transportation inequality...
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...
Posterior model probabilities computed from model-specific Gibbs output
Computation (stat.CO) Applications (stat.AP) Methodology (stat.ME)
2010/12/17
We provide a representation of reversible-jump Markov chain Monte Carlo as Gibbs sampling with alternating updates of a model indicator and a "palette" of parameters we denote $\bm \psi$. A key innova...
Residuals and goodness-of-fit tests for stationary marked Gibbs point processes
stationary marked Gibbs point processes residuals goodness-of-fit test quadrat count-ing test maximum pseudolikelihood estimator
2010/3/10
The inspection of residuals is a fundamental step to investigate the
quality of adjustment of a parametric model to data. For spatial
point processes, the concept of residuals has been recently prop...
We consider various versions of adaptive Gibbs and Metropolis-
within-Gibbs samplers, which update their selection probabilities (and per-
haps also their proposal distributions) on the fly during a...
ABC likelihood-free methods for model choice in Gibbs random fields
Approximate Bayesian Computation model choice Gibbs Random Fields Bayes factor protein folding
2009/9/24
Gibbs random fields (GRF) are polymorphous statistical models that can be used to analyse different types of dependence, in particular for spatially correlated data. However, when tho...
Delayed Response in Bivariate Set Up Using Gibbs Sampler
Delayed Response Bivariate Set Up Gibbs Sampler
2009/9/18
Delayed Response in Bivariate Set Up Using Gibbs Sampler。
Score Tests for Pairwise Interaction Parameters of Gibbs Point Processes
Score Tests Pairwise Interaction Parameters Gibbs Point Processes
2009/9/17
Score Tests for Pairwise Interaction Parameters of Gibbs Point Processes。
A Gibbs Sampling Alternative to Reversible Jump MCMC
Gibbs sampler Model switching Variable dimension
2010/3/18
This note presents a simple and elegant sampler which
could be used as an alternative to the reversible jump MCMC methodology.
Gibbs fragmentation trees
Aldous’ beta-splitting model Gibbs distribution Markov branching model Poisson–Dirichlet distribution
2010/4/28
We study fragmentation trees of Gibbs type. In the binary case, we identify the most general
Gibbs-type fragmentation tree with Aldous’ beta-splitting model, which has an extended parameter range β >...
Gibbs Sampling，Exponential Families and Orthogonal Polynomials
Gibbs sampler running time analyses exponential families conjugate priors location families orthogonal polynomials
2010/4/30
We give families of examples where sharp rates of convergence
to stationarity of the widely used Gibbs sampler are available.
The examples involve standard exponential families and their conjugate
...
Comment：Gibbs Sampling，Exponential Families and Orthogonal Polynomials
Comment Gibbs Sampling Exponential Families Orthogonal Polynomials
2010/4/30
Let K be a reversible Markov kernel on a measurable
space (S,B) with stationary distribution P.
Regard K as a linear operator, K:L2(P)→L2(P),
and suppose that L2(P) admits an orthonormal basis
of ...
Comment：Lancaster Probabilities and Gibbs Sampling
Comment Lancaster Probabilities Gibbs Sampling
2010/4/30
It is a pleasure to congratulate the authors for
this excellent, original and pedagogical paper. I read
a preliminary draft at the end of 2006 and I then
mentioned to the authors that their work sh...
We congratulate the authors on a review of convergence
rates for Gibbs sampling routines. Their
combined work on studying convergence rates via
orthogonal polynomials in the present paper under
di...
