Statistics & Computing [toc]

The latest [June] issue of Statistics & Computing is full of interesting Bayesian and Monte Carlo entries, some of which are even open access!

• Proximal Markov chain Monte Carlo algorithms
  Marcelo Pereyra Pages 745-760

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• A computational procedure for estimation of the mixing time of the random-scan Metropolis algorithm
  David A. Spade Pages 761-781

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• Exact estimation of multiple directed acyclic graphs
  Chris J. Oates, Jim Q. Smith, Sach Mukherjee, James Cussens Pages 797-811

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• Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems
  Anindya Bhadra, Raymond J. Carroll Pages 827-840

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• Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach
  Nadja Klein, Thomas Kneib Pages 841-860

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• Computation of Gaussian orthant probabilities in high dimension
  James Ridgway Pages 899-916

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