An upper bound on the convergence time of the Gibbs sampler in Ising models

By Shiraishi Yuichi  

Journal of Statistical Computation and Simulation, Vol. 77, Iss. 10, 2007-01 ,pp. : 839-850

Taylor & Francis Ltd

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A Bayesian structural-change analysis via the stochastic approximation Monte Carlo and Gibbs sampler

By Cheon Sooyoung   Kim Jaehee  

Journal of Statistical Computation and Simulation, Vol. 84, Iss. 7, 2014-07 ,pp. : 1444-1470

Taylor & Francis Ltd

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Making REML computationally feasible for large data sets: use of the Gibbs sampler

By David Harville  

Journal of Statistical Computation and Simulation, Vol. 74, Iss. 2, 2004-02 ,pp. : 135-153

Taylor & Francis Ltd

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Bayesian and fiducial inference for the inverse gaussian distribution via Gibbs sampler

By Ismail Sanaa A.   Auda Hesham A.  

Journal of Applied Statistics, Vol. 33, Iss. 8, 2006-09 ,pp. : 787-805

Taylor & Francis Ltd

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A more efficient Gibbs sampler estimation using steady-state simulation: applications to public health studies

By Dunbar Martin X.   Samawi Hani M.   Vogel Robert   Yu Lili  

Journal of Statistical Computation and Simulation, Vol. 84, Iss. 9, 2014-09 ,pp. : 1931-1945

Taylor & Francis Ltd

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