Statistics and Computing, Volume 16

Volume 16, Number 1, January 2006

• Jon D. McAuliffe, David M. Blei, Michael I. Jordan:
  Nonparametric empirical Bayes for the Dirichlet process mixture model. 5-14
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• Martin J. Wolfsegger, Thomas Jaki:
  Simultaneous confidence intervals by iteratively adjusted alpha for relative effects in the one-way layout. 15-23
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• Donald B. Percival, William L. B. Constantine:
  Exact simulation of Gaussian Time Series from Nonparametric Spectral Estimates with Application to Bootstrapping. 25-35
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• Umberto Amato, Anestis Antoniadis, Marianna Pensky:
  Wavelet kernel penalized estimation for non-equispaced design regression. 37-55
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• Petros Dellaportas, Ioulia Papageorgiou:
  Multivariate mixtures of normals with unknown number of components. 57-68
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• Youngjo Lee, John A. Nelder:
  Fitting via alternative random-effect models. 69-75
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• Marina Meila, Tommi Jaakkola:
  Tractable Bayesian learning of tree belief networks. 77-92
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• Jo Eidsvik, Håkon Tjelmeland:
  On directional Metropolis-Hastings algorithms. 93-106
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Volume 16, Number 2, June 2006

• Wolfgang Jank:
  Efficient simulated maximum likelihood with an application to online retailing. 111-124
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• Mike K. P. So:
  Bayesian analysis of nonlinear and non-Gaussian state space models via multiple-try sampling methods. 125-141
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• Matthew A. Nunes, Marina I. Knight, Guy P. Nason:
  Adaptive lifting for nonparametric regression. 143-159
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• Jan Poland, Marcus Hutter:
  MDL convergence speed for Bernoulli sequences. 161-175
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• Thorsten Bernholt, Roland Fried, Ursula Gather, Ingo Wegener:
  Modified repeated median filters. 177-192
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• Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone:
  Markov Chain Monte Carlo in small worlds. 193-202
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• Paul Fearnhead:
  Exact and efficient Bayesian inference for multiple changepoint problems. 203-213
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• Nizar Bouguila, Djemel Ziou, Ernest Monga:
  Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications. 215-225
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Volume 16, Number 3, September 2006

• Marco Alfò, Murray Aitkin:
  Variance component models for longitudinal count data with baseline information: epilepsy data revisited. 231-238
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• Cajo J. F. ter Braak:
  A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces. 239-249
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• Enrique Alba, Enrique Domínguez:
  Comparative analysis of modern optimization tools for the p-median problem. 251-260
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• Alfred Kume, Stephen G. Walker:
  Sampling from compositional and directional distributions. 261-265
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• Kenny Y. F. Chan, Stephen M. S. Lee, Kai W. Ng:
  Minimum variance unbiased estimation based on bootstrap iterations. 267-277
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• Onno Zoeter, Tom Heskes:
  Deterministic approximate inference techniques for conditionally Gaussian state space models. 279-292
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• Barry R. Cobb, Prakash P. Shenoy, Rafael Rumí:
  Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. 293-308
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• Nikolaos Demiris, Philip D. O'Neill:
  Computation of final outcome probabilities for the generalised stochastic epidemic. 309-317
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Volume 16, Number 4, December 2006

• Andrew Golightly, Darren J. Wilkinson:
  Bayesian sequential inference for nonlinear multivariate diffusions. 323-338
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• Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman:
  DRAM: Efficient adaptive MCMC. 339-354
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• Jukka Corander, Mats Gyllenberg, Timo Koski:
  Bayesian model learning based on a parallel MCMC strategy. 355-362
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• Robert G. Aykroyd, Brain A. Cattle:
  A flexible statistical and efficient computational approach to object location applied to electrical tomography. 363-375
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• A. W. Bowman, A. Pope, B. Ismail:
  Detecting discontinuities in nonparametric regression curves and surfaces. 377-390
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• G. J. Gibson, W. Otten, J. A. N. Filipe, A. Cook, G. Marion, C. A. Gilligan:
  Bayesian estimation for percolation models of disease spread in plant populations. 391-402
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