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104 036 (0,364s)

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Markov chain Monte Carlo methods of optimization and model selection.

Markov chain Monte Carlo methods of optimization and model selection.

BA - Obecná matematika

  • 1999
  • D
Result

Use of Monte Carlo Modified Markov Chains in Capacity Planning

The purpose of the paper is to demonstrate the use of Monte Carlo modified Markov chains in capacity planning. After a brief review of available literature on the subject of Monte Carlo simulation...

AE - Řízení, správa a administrativa

  • 2015
  • D
  • Link
Result

Comparison of different screening programs for colorectal carcinoma in Czech population with use of a Markov computer model

The article deals with comparison of several screening methods for revealing of colorectal carcinoma. Impact of these methods is studied numerically using Monte Carlo methods and Markov-chain approach....

FE - Ostatní obory vnitřního lékařství

  • 2006
  • Jx
Result

Combining VAR Forecast Densities Using Fast Fourier Transform

Main topics of the document: Bayesian model aeraging; fast Fourier transform; Markov chain Monte Carlo; vector autoregressions......

AH - Ekonomie

  • 2010
  • Jx
  • Link
Result

Markov Chain Monte Carlo

The MCMC method for generating random numbers is described.

BA - Obecná matematika

  • 2000
  • Vx
Result

Markov point processes and their simulation using MCMC

The attention is dedicated to using the technique Markov Chain Monte Carlo for the simulation of some point processes....

BA - Obecná matematika

  • 2000
  • D
Result

Spatio-temporal modelling of a Cox process sampled by a curve, filtering and inference

The paper studies a Levy based Cox process on a curve, related theoretical background and Markov chain Monte Carlo....

BA - Obecná matematika

  • 2009
  • Jx
Result

Stochastic sampling for mantle conductivity models

We present a bayesian Monte Carlo analysis of geomagnetic induction data for the mantle conducitivity distribution. We use a modified version of the Monte Carlo method with Markov chains based on ...

DC - Seismologie, vulkanologie a struktura Země

  • 2008
  • D
Result

A simulated annealing-based method for learning Bayesian networks from statistical data

The problem of learning Bayesian networks form statistical data is described and re-formulated as a discrete optimization problem. For a solution we employ the stochastic algorithm which is known as simulated annealing and which is based on the M...

BA - Obecná matematika

  • 2006
  • Jx
Result

Reparameterized weibull distribution: A bayes study using hamiltonian monte carlo

indeed affect Bayesian inference via Markov chain Monte Carlo methods. Although our Hamiltonian Monte Carlo, any other Markov chain Monte Carlo methods can eas...

Statistics and probability

  • 2020
  • D
  • Link
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