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
Electronic Edition (link) BibTeX
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
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
Electronic Edition (link) BibTeX
Copyright © Fri Oct 3 23:21:05 2008
by Michael Ley (ley@uni-trier.de)
