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Sequential Monte Carlo Methods for Statistical Analysis of Tables
Conditional inference Contingency table Counting problem Exact test Sequential importance sampling Zero–one table
2015/7/8
Sequential Monte Carlo Methods for Statistical Analysis of Tables.
Statistical analysis of clinical trial data using Monte Carlo methods
joint modeling semicompeting risks Bayesian,Minimization randomization test
2015/5/21
In medical research, data analysis often requires complex statistical methods where no closed-form solutions are available. Under such circumstances, Monte Carlo (MC) methods have found many applicati...
Computing Functionals of Multidimensional Diffusions via Monte Carlo Methods
Computing Functionals of Multidimensional Diffusions Monte Carlo Methods Numerical Analysis Computational Finance
2012/4/28
We discuss suitable classes of diffusion processes, for which functionals relevant to finance can be computed via Monte Carlo methods. In particular, we construct exact simulation schemes for processe...
Monte Carlo Methods for Maximum Margin Supervised Topic Models
Monte Carlo Methods Maximum Margin Supervised Topic Models
2015/1/24
Monte Carlo Methods for Maximum Margin Supervised Topic Models.
Weak Convergence of Markov Chain Monte Carlo Methods and its Application to Regular Gibbs Sampler
Ergodicity Gibbs sampler Large sample theory Markov chain
2011/3/2
In this paper, we introduce the notion of efficiency (consistency) and examine some asymptotic properties ofMarkov chain Monte Carlo methods. We apply these results to the Gibbs sampler for independen...
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...
Interacting Markov chain Monte Carlo methods for solving nonlinear measure-valued equations
Markov chain Monte Carlo methods sequential Monte Carlo methods
2010/12/14
We present a new class of interacting Markov chain Monte Carlo algorithms for solving numerically discrete-time measure-valued equa-tions. The associated stochastic processes belong to the class of se...
Quantile Mechanics II: Changes of Variables in Monte Carlo methods and a GPU-Optimized Normal Quantile
Monte Carlo Student hyperbolic variance gamma, computational
2010/10/29
This article presents dierential equations and solution methods for the functions of the form A(z) = F1(G(z)), where F and G are cumu-lative distribution functions. Such functions allow the...
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...
Adaptive and Recursive Time Relaxed Monte Carlo methods for rarefied gas dynamics
Boltzmann equation Monte Carlo methods Time Relaxed schemes
2010/12/6
Recently a new class of Monte Carlo methods, called Time Relaxed Monte Carlo (TRMC), designed for the simulation of the Boltzmann equation close to fluid regimes have been introduced [16].
The use of Monte Carlo methods to determine the distribution of Al and Si cations in framework aluminosilicates from 29Si MAS NMR data
Monte Carlo methods distribution Al and Si cations framework aluminosilicates 29Si MAS NMR data
2012/4/5
AMonteCarlo method wasdeveloped to determine the distribution ofAland Sications from 29SiMASNMR data for framework aluminosilicates. The method wasused to an-alyze data obtained from Cs-exchanged leuc...