Treffer 181 - 200 von 583

181

Analysis of Between–Household Heterogeneity in Disease Transmission from Data on Outbreak Sizes: Analysis of between-household heterogeneity in disease transmission from data on outbreak sizes
Richard Huggins ; Ning Li ; Guoqi Qian ; et al.
Australian & New Zealand Journal of Statistics. 44:401-411

230204 Applied Statistic... MCMC Epidemiology 4. Education posterior distribution Computational problems i...
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182

Bayesian model discrimination for multiple strata capture-recapture data: Bayesian model discrimination for multiple strata capture-recapture data.
Ruth King ; Stephen Brooks
Biometrika. 89:785-806

model selection common lizard Bayesian inference capture-recapture Numerical analysis or me... model averaging
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183

langevin diffusions and metropolis hastings algorithms: Langevin diffusions and Metropolis-Hastings algorithms
Roberts, G. O. ; Stramer, O.
Methodology and Computing in Applied Probability. 4(4):337-357

Numerical solutions to s... Ozaki discretization Langevin diffusions numerical examples Markov chain Monte Carlo... Metropolis-Hastings algo...
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184

Bayesian estimation of free-knot splines using reversible jumps: Bayesian estimation of free-knot splines using reversible jumps.
Mary J. Lindstrom
Computational Statistics & Data Analysis. 41:255-269

Data based prior Bayesian inference 0502 economics and busin... 05 social sciences Computational problems i... Numerical analysis or me...
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185

Modelling Spatially Correlated Data via Mixtures: A Bayesian Approach: Modelling spatially correlated data via mixtures: a Bayesian approach
Fernández, C ; Green, PJ ; Engineering and Physical Sciences Research Council (UK) ; et al.
Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

Poisson mixtures Grouped continuous model Reversible jump Markov c... 4. Education Bayesian inference Logistic normal model
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186

CLOSED-FORM STOCHASTIC BOUNDS ON THE STATIONARY DISTRIBUTION OF MARKOV CHAINS: Closed-form stochastic bounds on the stationary distribution of Markov chains
Mouad Ben Mamoun ; Nihal Pekergin
Probability in the Engineering and Informational Sciences. 16:403-426

Markov chains Computational methods in... Inequalities stochastic orderings Numerical analysis or me... bounds
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187

A Stochastic Geometry Model for Functional Magnetic Resonance Images: A stochastic geometry model for functional magnetic resonance images
Niels Vaever Hartvig
Scandinavian Journal of Statistics. 29:333-353

Markov chain Monte Carlo Bayesian inference Random fields image analysis Numerical analysis or me... Bayesian estimation
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188

Semiparametric Bayes analysis of longitudinal data treatment models
Siddhartha Chib ; Barton H. Hamilton
Journal of Econometrics. 110:67-89

Dirichlet process prior panel data Bayesian matching Bayesian inference 0502 economics and busin... 05 social sciences
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189

A Frailty Model for Informative Censoring: A frailty model for informative censoring
Huang, Xuelin ; Wolfe, Robert A. ; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109–2029, U.S.A.
Biometrics. 58:510-520

Biometry Dependent Censoring Censored data models Science 01 natural sciences Competing Risks
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190

On the influence of the proposal distributions on a reversible jump MCMC algorithm applied to the detection of multiple change-points
Rotondi R
Computational statistics & data analysis
40, 3 (2002): 633–653.
info:cnr-pdr/source/autori:Rotondi R./titolo:On the influence of the proposal distributions on a reversible jump MCMC algorithm applied to the detection of multiple change-points/doi:/rivista:Computational statistics & data analysis (Print)/anno:2002/pagina_da:633/pagina_a:653/intervallo_pagine:633–653/volume:40, 3

Seismology (including ts... Levels of seismicity Bayesian inference Random proposal random proposal Poisson process
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191

Monotone Convergence of Iterative Methods for Singular Linear Systems: Monotone convergence of iterative methods for singular linear systems
Yongzhong Song
BIT Numerical Mathematics. 42:611-624

singular linear systems Iterative numerical meth... semi-convergence Markov chains Computational methods in... iterative methods
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192

Expected-posterior prior distributions for model selection: Expected-posterior prior distributions for model selection.
James O. Berger ; José M. Pérez
Biometrika. 89:491-512

mixture model intrinsic Bayes factor default Bayesian model s... Bayesian inference Order statistics empirical distribution f...
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193

Bayes Model Averaging with Selection of Regressors: Bayes model averaging with selection of regressors
Philip J. Brown ; Tom Fearn ; Marina Vannucci
Journal of the Royal Statistical Society Series B: Statistical Methodology. 64:519-536

Linear regression mixed models Bayesian problems characterization of Baye... ridge regression Numerical analysis or me...
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194

Go with the winners: a general Monte Carlo strategy
Peter Grassberger
Computer Physics Communications. 147:64-70

Statistical Mechanics (c... Markov chain FOS: Physical sciences Monte Carlo methods reaction-diffusion syste... lattice animals
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195

A simple and efficient simulation smoother for state space time series analysis: A simple and efficient simulation smoother for state space time series analysis.
Siem Jan Koopman ; James Durbin
Biometrika. 89:603-616

Markov chain Monte Carlo Time series, auto-correl... importance sampling Gibbs sampling diffuse initialisation 0502 economics and busin...
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196

Generalized ensemble simulations for complex systems
Bernd A. Berg
Computer Physics Communications. 147:52-57

spin glasses Markov chain Monte Carlo... Statistical Mechanics (c... FOS: Physical sciences transition matrix Computational Physics (p...
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197

Partition-Weighted Monte Carlo Estimation: Partition-weighted Monte Carlo estimation
Shao, Qi-Man ; Chen, M.H.
Annals of the Institute of Statistical Mathematics. 54:338-354

Markov chain Monte Carlo importance sampling Bayesian inference posterior distribution 0502 economics and busin... 05 social sciences
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198

Bayesian analysis of regression models with spatially correlated errors and missing observations
Han Joon Kim ; Man Suk Oh ; Dong Wan Shin
Computational Statistics & Data Analysis. 39:387-400

missing values posterior inference Gibbs sampling algorithm Markov chain Monte Carlo Inference from spatial p... Bayesian inference
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199

Markov chain Monte Carlo methods for stochastic volatility models: Markov chain Monte Carlo methods for stochastic volatility models.
Chib, S ; Nardari, F ; Shephard, N
Journal of Econometrics. 108:281-316

Applications of statisti... Markov chain Monte Carlo simulation-based inferen... Economics particle filters Numerical analysis or me...
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200

One-shot coupling for certain stochastic recursive sequences: One-shot coupling for certain stochastic recursive sequences.
Roberts, G. O. ; Rosenthal, J. S.
Stochastic Processes and their Applications. 99:195-208

Statistics and Probabili... Applied Mathematics Markov chain Stochastic recursive seq... stochastic recursive seq... 01 natural sciences
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