搜索结果: 16-30 共查到“统计学 Markov chain”相关记录34条 . 查询时间(0.159 秒)
Markov chain Monte Carlo for exact inference for diffusions
Exact inference Exact simulation Markov chain Monte Carlo Stochastic differential equa-tion Transition density
2011/3/25
We develop exact Markov chain Monte Carlo methods for discretely-sampled, directly and indirectly observed diffusions. The qualification "exact" refers to the fact that the invariant and limiting dist...
Quantitative bounds for Markov chain convergence: Wasserstein and total variation distances
convergence rate coupling Gibbs sampler iterated random functions local
2011/3/24
We present a framework for obtaining explicit bounds on the rate of convergence to equilibrium of a Markov chain on a general state space, with respect to both total variation and Wasserstein distance...
A general purpose variance reduction technique for Markov chain Monte Carlo estimators based on the zero-variance principle introduced in the physics literature by Assaraf and Caffarel (1999, 2003), i...
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...
Asymptotic optimality of the cross-entropy method for Markov chain problems
Asymptotic optimality cross-entropy method Markov chain problems
2010/3/11
The correspondence between the cross-entropymethod and the zero-variance
approximation to simulate a rare event problem in Markov chains is shown. This
leads to a sufficient condition that the cross...
The reversible jump Markov chain Monte Carlo sampler (Green, 1995) provides a general
framework for Markov chain Monte Carlo (MCMC) simulation in which the dimension of the
parameter space can vary ...
In Bayesian inference, the posterior distribution for parameters 2 is given by (jy) /
(yj)(), where one's prior beliefs about the unknown parameters, as expressed through
the prior distrib...
A History of Markov Chain Monte Carlo——Subjective Recollections from Incomplete Data
History Markov Chain Monte Carlo——Subjective Recollections Incomplete Data
2010/4/30
In this note we attempt to trace the history and development of Markov chain
Monte Carlo (MCMC) from its early inception in the late 1940’s through its use today.
We see how the earlier stages of th...
Parameter Estimation in Continuous Time Markov Switching Models: A Semi-Continuous Markov Chain Monte Carlo Approach
Bayesian inference data augmentation hidden Markov model
2009/9/24
In this paper,we combine useful aspects of both approaches.On the one hand,we are inspired by the discretization, where filtering for the state process is possible,on the other hand,we
catch attracti...
On the convergence of weighted averages of random variables arising from a finite Markov chain
the convergence of weighted averages random variables a finite Markov chain
2009/9/23
On the convergence of weighted averages of random variables arising from a finite Markov chain。
EM versus Markov chain Monte Carlo for estimation of hidden Markov models: a computational perspective
hidden Markov model incomplete data missing data EM trans-dimensional Monte Carlo computational statistics
2009/9/22
Hidden Markov models (HMMs) and related models have become stan-
dard in statistics during the last 15C2 years, with applications in diverse areas
like speech and other statistical signal processing...
Least squares type estimation of the transition density of a particular hidden Markov chain
Hidden Markov Chain Transition Density Nonparametric Estimation Model Selection Rate of convergence
2009/9/16
In this paper, we study the following model of hidden Markov chain: $Y_i=X_i+varepsilon_i$, $ i=1,dots,n+1$ with $(X_i)$ a real-valued stationary Markov chain and $(varepsilon_i)_{1leq ileq n+1}$ a no...
On the Markov chain central limit theorem
Central Limit Theorem Markov Chain Monte Carlo Mixing Condition Drift Condition
2009/5/18
The goal of this expository paper is to describe conditions which guarantee a central limit theorem for functionals of general state space Markov chains. This is done with a view towards Markov chain ...
This is an expository paper, focussing on the following scenario. We have two Markov chains, M and M'. By some means, we have obtained a bound on the mixing time of M'. We wish to compare M with M' in...
How to Combine Fast Heuristic Markov Chain Monte Carlo with Slow Exact Sampling
Confidence interval Exact sampling Markov Chain Monte Carlo
2009/5/4
Given a probability law $pi$ on a set S and a function $g : S rightarrow R$, suppose one wants to estimate the mean $bar{g} = int g dpi$. The Markov Chain Monte Carlo method consists of inventing and ...