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There are 119032 results for: content related to: Gibbs sampling for Bayesian non-conjugate and hierarchical models by using auxiliary variables

  1. Mixed-Effects State-Space Models for Analysis of Longitudinal Dynamic Systems


    Volume 67, Issue 2, June 2011, Pages: 476–485, Dacheng Liu, Tao Lu, Xu-Feng Niu and Hulin Wu

    Version of Record online : 3 SEP 2010, DOI: 10.1111/j.1541-0420.2010.01485.x

  2. Markov Chain Monte Carlo

    Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control

    James C. Spall, Pages: 436–463, 2005

    Published Online : 28 JAN 2005, DOI: 10.1002/0471722138.ch16

  3. Fixed and Random Effects Selection in Linear and Logistic Models


    Volume 63, Issue 3, September 2007, Pages: 690–698, Satkartar K. Kinney and David B. Dunson

    Version of Record online : 2 APR 2007, DOI: 10.1111/j.1541-0420.2007.00771.x

  4. Autoregressive Models for Capture-Recapture Data: A Bayesian Approach


    Volume 59, Issue 2, June 2003, Pages: 341–350, Devin S. Johnson and Jennifer A. Hoeting

    Version of Record online : 11 JUN 2003, DOI: 10.1111/1541-0420.00041

  5. Computations via Auxiliary Random Functions for Survival Models

    Scandinavian Journal of Statistics

    Volume 33, Issue 2, June 2006, Pages: 219–226, PURUSHOTTAM W. LAUD, PAUL DAMIEN and STEPHEN G. WALKER

    Version of Record online : 2 MAY 2006, DOI: 10.1111/j.1467-9469.2006.00473.x

  6. Multiple Imputation of Quantitative Data

    Multiple Imputation and its Application

    James R. Carpenter, Michael G. Kenward, Pages: 75–89, 2012

    Published Online : 18 DEC 2012, DOI: 10.1002/9781119942283.ch3

  7. Gibbs Sampling and Hierarchical Models

    Understanding Computational Bayesian Statistics

    William M. Bolstad, Pages: 235–263, 2012

    Published Online : 20 JAN 2012, DOI: 10.1002/9780470567371.ch10

  8. You have free access to this content
    Ocean ensemble forecasting. Part I: Ensemble Mediterranean winds from a Bayesian hierarchical model

    Quarterly Journal of the Royal Meteorological Society

    Volume 137, Issue 657, April 2011 Part B, Pages: 858–878, Ralph F. Milliff, Alessandro Bonazzi, Christopher K. Wikle, Nadia Pinardi and L. Mark Berliner

    Version of Record online : 3 MAY 2011, DOI: 10.1002/qj.767

  9. Bivariate cumulative probit model for the comparison of neuronal encoding hypotheses

    Biometrical Journal

    Volume 56, Issue 1, January 2014, Pages: 23–43, Julia Hillmann, Thomas Kneib, Lena Koepcke, León M. Juárez Paz and Jutta Kretzberg

    Version of Record online : 4 NOV 2013, DOI: 10.1002/bimj.201200161

  10. Bayesian Inferences on Umbrella Orderings


    Volume 61, Issue 4, December 2005, Pages: 1018–1026, Chris Hans and David B. Dunson

    Version of Record online : 14 JUN 2005, DOI: 10.1111/j.1541-0420.2005.00373.x

  11. You have free access to this content
    A Gibbs sampler for Bayesian analysis of site-occupancy data

    Methods in Ecology and Evolution

    Volume 3, Issue 6, December 2012, Pages: 1093–1098, Robert M. Dorazio and Daniel Taylor Rodríguez

    Version of Record online : 20 AUG 2012, DOI: 10.1111/j.2041-210X.2012.00237.x

  12. Steady-state priors for vector autoregressions

    Journal of Applied Econometrics

    Volume 24, Issue 4, June/July 2009, Pages: 630–650, Mattias Villani

    Version of Record online : 27 MAR 2009, DOI: 10.1002/jae.1065

  13. Numerical Issues in Markov Chain Monte Carlo Estimation

    Numerical Issues in Statistical Computing for the Social Scientist

    Micah Altman, Jeff Gill, Michael P. McDonald, Pages: 118–142, 2004

    Published Online : 22 JAN 2004, DOI: 10.1002/0471475769.ch5

  14. The EM Algorithm—an Old Folk-song Sung to a Fast New Tune

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 59, Issue 3, 1997, Pages: 511–567, Xiao-Li Meng and David Van Dyk

    Version of Record online : 6 JAN 2002, DOI: 10.1111/1467-9868.00082

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    Spatial Bayesian inversion with localized likelihoods: An exact sampling alternative to MCMC

    Journal of Geophysical Research: Solid Earth

    Volume 119, Issue 7, July 2014, Pages: 5741–5761, Matthew Walker and Andrew Curtis

    Version of Record online : 23 JUL 2014, DOI: 10.1002/2014JB011010

  16. Estimating the evidence – a review

    Statistica Neerlandica

    Volume 66, Issue 3, August 2012, Pages: 288–308, Nial Friel and Jason Wyse

    Version of Record online : 4 JAN 2012, DOI: 10.1111/j.1467-9574.2011.00515.x

  17. BUGS for a Bayesian analysis of stochastic volatility models

    The Econometrics Journal

    Volume 3, Issue 2, December 2000, Pages: 198–215, Renate Meyer and Jun Yu

    Version of Record online : 20 MAR 2002, DOI: 10.1111/1368-423X.00046

  18. A full Bayesian analysis of circular data using the von Mises distribution

    Canadian Journal of Statistics

    Volume 27, Issue 2, June 1999, Pages: 291–298, Paul Damien and Stephen Walker

    Version of Record online : 18 DEC 2008, DOI: 10.2307/3315639

  19. Selecting Factors Predictive of Heterogeneity in Multivariate Event Time Data


    Volume 60, Issue 2, June 2004, Pages: 352–358, David B. Dunson and Zhen Chen

    Version of Record online : 7 JUN 2004, DOI: 10.1111/j.0006-341X.2004.00179.x

  20. Parameter Estimation in the Error-in-Variables Models Using the Gibbs Sampler

    The Canadian Journal of Chemical Engineering

    Volume 84, Issue 1, February 2006, Pages: 125–138, Jessada J. Jitjareonchai, Park M. Reilly, Thomas A. Duever and Douglas B. Chambers

    Version of Record online : 19 MAY 2008, DOI: 10.1002/cjce.5450840116