Treffer 21 - 40 von 146

21

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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22

Bayesian inference for polyhazard models in the presence of covariates: Bayesian inference for polyhazard models in the presence of covariates.
Josmar Mazucheli ; Francisco Louzada-Neto ; Jorge Alberto Achcar
Computational Statistics & Data Analysis. 38:1-14

Gibbs sampling algorithm Kaplan--Meier survival c... Polyhazard models Bayesian inference Arms algorithm 0211 other engineering a...
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23

Overdispersed generalized linear models
Alan E. Gelfand ; Dipak K. Dey ; Fengchun Peng
Journal of Statistical Planning and Inference. 64:93-107

Generalized linear model... Metropolis-within-Gibbs... Bayesian inference orthogonal parameters two parameter exponentia... Foundations and philosop...
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24

Bayesian estimation of movement and survival probabilities from capture-recapture data
Jérôme A. Dupuis
Biometrika. 82:761-772

0301 basic medicine Gibbs sampling algorithm capture-recapture data 4. Education Bayesian inference ergodic Markov chains
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25

A Bayesian unmasking method for locating multiple gross errors based on posterior probabilities of classification variables
Gui, Q. ; Li, X. ; Gong, Y. ; et al.
Journal of Geodesy: Continuation of Bulletin Géodésique and manuscripta geodaetica. April 2011 85(4):191-203

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26

Heritability of stem straightness and genetic correlations in Eucalyptus cladocalyx in the semi-arid region of Chile
Mora, Freddy ; Vargas-Reeve, Felipe ; Perret, Sandra ; et al.
Crop Breeding and Applied Biotechnology; Vol. 13 No. 2 (2013); 107-112 ; Crop Breeding and Applied Biotechnology; v. 13 n. 2 (2013); 107-112 ; 1984-7033

Bayesian inference Gibbs sampling algorithm Water stress Eucalyptus
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27

Bayesian nonparametric predictions for count time series
Luisa Bisaglia ; CANALE, Antonio ; Luisa Bisaglia ; et al.

INAR(1) Dirichlet process mixtur... Gibbs sampling algorithm
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28

Informative Bayesian inference for the skew-normal distribution
CANALE, Antonio ; Bruno Scarpa

Methodology (stat.ME) FOS: Computer and inform... 62F15, 62E15 Bayesian inference Gibbs sampling algorithm Markov Chain Monte Carlo
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29

Growth and wool production genetic parameters in sheep using mixed model methodology ; Parámetros genéticos de crecimiento y producción de lana en ovinos usando la metodología de modelos mixtos
Martínez, Rodrigo Alfredo ; Vásquez, Rodrigo ; Vanegas, Javier ; et al.
Ciencia y Tecnología Agropecuaria; Vol. 7 No. 1 (2006); 42-49 ; Ciencia & Tecnología Agropecuaria; Vol. 7 Núm. 1 (2006); 42-49 ; revista Corpoica Ciência e Tecnologia Agropecuária; v. 7 n. 1 (2006); 42-49 ; 2500-5308 ; 0122-8706 ; 10.21930/rcta.vol7-num1

mixed models sheep heritability EPD (expected progeny di... Gibbs’ sampling algorith... Modelos Mixtos
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30

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31

Inference from two-variable degradation data using genetic algorithm and Markov chain Monte Carlo methods
Jyun-You Chiang ; Jianping Zhu ; Yu-Jau Lin ; et al.

Cumulative exposure mode... Gibbs sampling algorithm Markov chain Monte Carlo Metropolis-Hastings algo...
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32

Simulation Based Bayesian Econometric Inference: Principles and Some Recent Computational Advances: Principles and some recent computational advances
R.D. van Oest ; H. K. van Dijk ; Lennart F. Hoogerheide ; et al.
SSRN Electronic Journal.

Primer on simulation met... jel:C52 Ordinary least squares (... 4. Education jel:C12 jel:C45
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33

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34

Simulation-Based Bayesian Econometric Inference:Principles and Some Recent Computational Advances
Hoogerheide, Lennart F. ; van Dijk, Herman K. ; van Oest, Rutger D. ; et al.
Hoogerheide, L F, van Dijk, H K & van Oest, R D 2009, Simulation-Based Bayesian Econometric Inference : Principles and Some Recent Computational Advances. in D A Belsley & E J Kontoghiorghes (eds), Handbook of Computational Econometrics. John Wiley & Sons, Ltd, pp. 215-280. https://doi.org/10.1002/9780470748916.ch7

Adaptive radial-based di... Bayesian inference and f... Bayesian learning and av... Highest posterior densit... Importance sampling comp... MCMC class and Gibbs sam...
Buch
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35

Estimação do tamanho populacional a partir de um modelo de captura-recaptura com heterogeneidade
Pezzott, George Lucas Moraes ; Salasar, Luis Ernesto Bueno ; http://lattes.cnpq.br/5464564215528609 ; et al.

Inferência (Estatística)... Processo sequencial de c... Modelo de mistura Em-algoritmo Gibbs sampling Erros de software
Dissertation
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36

Parámetros genéticos de crecimiento y producción de lana en ovinos usando la metodología de modelos mixtos
Martínez, Rodrigo ; Vásquez Vásquez, Rodrigo ; Vanegas, Javier ; et al.
Revista Corpoica: Ciencia y Tecnología Agropecuaria, ISSN 0122-8706, Vol. 7, Nº. 1, 2006, pags. 42-49

mixed models sheep heritability EPD (expected progeny di... Gibbs’ sampling algorith... Modelos Mixtos
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37

Data_Sheet_1_Bayesian Estimation of the DINA Model With Pólya-Gamma Gibbs Sampling.pdf
Zhaoyuan Zhang ; Jiwei Zhang ; Jing Lu ; et al.

Applied Psychology Clinical Psychology Developmental and Educat... Neuroscience and Physiol... Organizational Behaviora... Personality
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38

AutoRegressive
Dazhe Wang ; Sujit K. Ghosh ; The Pennsylvania State University CiteSeerX Archives
http://www.stat.ncsu.edu/library/papers/ISMS2566.pdf.

KEY WORDS Bayes Factor Gibbs sampling algorithm Markov Chain Monte Carlo... Posterior interval Stationarity parameter
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39

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40

A non-Gaussian Kalman filter model for tracking software reliability
Chen, Yiping ; Singpurwalla, Nozer D.

Gibbs sampling algorithm Reliability and life tes... forecasting software reliability reliability growth invariant conditional di...
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