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

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

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

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