Treffer 141 - 160 von 583

141

Speeding up the FMMR perfect sampling algorithm: A case study revisited
Robert P. Dobrow ; James Allen Fill
Random Structures & Algorithms. 23:434-452

partially ordered set separation strong stationary time Markov Chain Monte Carlo... exact sampling Probability (math.PR)
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142

Likelihood and Non‐parametric Bayesian MCMC Inference for Spatial Point Processes Based on Perfect Simulation and Path Sampling: Likelihood and non-parametric Bayesian MCMC inference for spatial point processes based on perfect simulation and path sampling
Berthelsen, Kasper Klitgaard ; Møller, Jesper
Berthelsen, K K & Møller, J 2003, 'Likelihood and non-parametric Bayesian MCMC inference for spatial point processes based on perfect simulation and path sampling', Scandinavian Journal of Statistics, vol. 30, no. 3, pp. 549-564.

Inference from spatial p... Strauss process Nonparametric statistica... Numerical analysis or me... maximum likelihood estim... 0101 mathematics
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143

Bayesian Inversion of Geoelectrical Resistivity Data: Bayesian inversion of geoelectrical resistivity data
Andersen, Kim Emil ; Brooks, S. P. ; Hansen, Martin Bøgsted
Andersen, K E, Brooks, S P & Hansen, M B 2003, 'Bayesian inversion of geoelectrical resistivity data', Journal of The Royal Statistical Society Series B-statistical Methodology, vol. 65, no. part 3, pp. 619-642.

Inference from spatial p... stochastic geometry Bayesian inference Geo-electricity and geom... inverse problem multigrid methods
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144

Reversible Jump, Birth-and-Death and More General Continuous Time Markov Chain Monte Carlo Samplers: Reversible jump, birth-and-death and more general continuous time Markov chain Monte Carlo samplers
Cappé, Olivier ; Robert, Christian P. ; Ryden, Tobias
Journal of the Royal Statistical Society Series B: Statistical Methodology. 65:679-700

Hidden Markov model rescaling Rao–Blackwellization 01 natural sciences Probabilités et mathémat... jel:C15
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145

Bayesian Inference for Non-Stationary Spatial Covariance Structure via Spatial Deformations: Bayesian inference for non-stationary spatial covariance structure via spatial deformations
Anthony O'Hagan ; Alexandra M. Schmidt
Journal of the Royal Statistical Society Series B: Statistical Methodology. 65:743-758

augmented covariance mat... Inference from spatial p... spatial deformation 13. Climate action Bayesian inference Numerical analysis or me...
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146

Bayesian Geoadditive Seemingly Unrelated Regression: Bayesian geoadditive seemingly unrelated regression
Ludwig Fahrmeir ; Samson B. Adebayo ; Stefan Lang ; et al.
Computational Statistics. 18:263-292

Inference from spatial p... Computational methods fo... spatial components Markov random fields, P-... Markov chain Monte Carlo... Bayesian inference
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147

Algebraic Markov Bases and MCMC for Two‐Way Contingency Tables: Algebraic Markov based and MCMC for two-way contingency tables
RAPALLO F ; Rapallo, Fabio
Scandinavian Journal of Statistics. 30:385-397

algorithm goodness-of-fit test Grobner bases log-linear models MCMC methods toric ideals
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148

Dispersion modelling of air pollution caused by road traffic using a Markov Chain-Monte Carlo model: Dispersion modelling of air pollution caused by road traffic using a Markov chain\,-\,Monte Carlo model
Peter-Johann Sturm ; Dietmar Oettl ; Raimund Almbauer ; et al.
Stochastic Environmental Research and Risk Assessment (SERRA). 17:58-75

Ecology Lagrangian dispersion mo... Environmental assessment... 13. Climate action 11. Sustainability Air pollution
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149

Classical Model Selection via Simulated Annealing: Classical model selection via simulated annealing
Nial Friel ; Stephen P. Brooks ; Ruth King
Journal of the Royal Statistical Society Series B: Statistical Methodology. 65:503-520

Parametric inference logistic regression 4. Education Markov chain Monte Carlo... Computational problems i... capture-recapture
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150

Minimal Basis for a Connected Markov Chain over 3 × 3 ×K Contingency Tables with Fixed Two‐Dimensional Marginals: Minimal basis for a connected Markov chain over \(3\times 3\times K\) contingency tables with fixed two-dimensional marginals
Satoshi Aoki ; Akimichi Takemura
Australian & New Zealand Journal of Statistics. 45:229-249

Markov chain Monte Carlo Numerical analysis or me... conditional inference 0102 computer and inform... Contingency tables 0101 mathematics
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151

Iterative aggregation/disaggregation methods for computing some characteristics of Markov chains. II. Fast convergence: Iterative aggregation/disaggregation methods for computing some characteristics of Markov chains. II: Fast convergence
Ivo Marek
Applied Numerical Mathematics. 45:11-28

stationary probability v... covariance matrix convergence Computational methods in... mean first passage iterative aggregation/di...
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152

Convergence theory of some classes of iterative aggregation/disaggregation methods for computing stationary probability vectors of stochastic matrices
Ivo Marek ; Petr Mayer
Linear Algebra and its Applications. 363:177-200

Iterative numerical meth... Numerical Analysis convergence Algebra and Number Theor... Aggregation/disaggregati... Stochastic matrix
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153

Mixture models in econometric duration analysis
Karl Mosler
Applied Stochastic Models in Business and Industry. 19:91-104

goodness-of-fit tests Applications of statisti... estimation 05 social sciences Monte Carlo methods MCMC procedure
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154

Perfect Simulation for a Stationary Silo with Absorbing Walls: Perfect simulation for a stationary silo with absorbing walls
Nancy L. Garcia ; Mariana R. Motta
Methodology And Computing In Applied Probability. 5:109-121

granular media 0301 basic medicine 0303 health sciences 03 medical and health sc... invariant measure Sampling theory, sample...
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155

Censoring, Factorizations, and Spectral Analysis for Transition Matrices with Block-Repeating Entries: Censoring, factorizations, and spectral analysis for transition matrices with block-repeating entries
Yiqiang Q. Zhao ; Wei Li ; W. John Braun
Methodology And Computing In Applied Probability. 5:35-58

fundamental matrix factorization of charact... conditions of recurrence... block-Toeplitz transitio... jel:C40 Numerical analysis or me...
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156

The Markov chain approximation approach for numerical solution of stochastic control problems: experiences from Merton’s problem: The Markov chain approximation approach for numerical solution of stochastic control problems: experiences from Merton's problem.
Claus Munk
Munk, C 2003, ' The Markov Chain Approximation Approach for Numerical Solution of Stochastic Control Problems : Experiences from Merton's Problem ', Applied Mathematics and Computation, vol. 136, no. 1, pp. 47-77 .

Richardson extrapolation Portfolio theory Markov chain approximati... Consumer behavior, deman... jel:C61 Computational methods in...
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157

On the geometric ergodicity of hybrid samplers
Fort, G. ; Moulines, E. ; Roberts, G. O. ; et al.
Journal of Applied Probability. 40:123-146

Metropolis-within-Gibbs'... hybrid sampler \(V\)-uniform ergodicity Monte Carlo methods Numerical analysis or me... geometric ergodicity
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158

Efficient model-fitting and model-comparison for high-dimensional Bayesian geostatistical models
Mary Kathryn Cowles
Journal of Statistical Planning and Inference. 112:221-239

MCMC Spatial statistics Bayesian inference 0211 other engineering a... 02 engineering and techn... Isotropy
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159

Simulated Maximum Likelihood in Nonlinear Continuous-Discrete State Space Models: Importance Sampling by Approximate Smoothing: Simulated maximum likelihood in nonlinear continuous-discrete state space models: importance sampling by approximate smoothing
Hermann Singer
Computational Statistics. 18:79-106

nonlinear filtering discrete noisy measureme... 0502 economics and busin... 05 social sciences Numerical analysis or me... Monte Carlo methods
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160

perfect simulation for a stationary silo with absorbing walls: Perfect simulation for a stationary silo with absorbing walls
Nancy L. Garcia ; Mariana R. Motta
Methodology and Computing in Applied Probability. 5(1):109-121

granular media invariant measure Sampling theory, sample... Numerical analysis or me... Interacting particle sys... CFTP
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