Volume 17,
Number 1,
March 2007
- W. S. Kendall, Jean-Michel Marin, Christian P. Robert:
Confidence bands for Brownian motion and applications to Monte Carlo simulation.
1-10
- David J. Hand, Wojtek J. Krzanowski, Martin Crowder:
Optimal predictive partitioning.
11-21
- Gopi Goswami, Jun S. Liu:
On learning strategies for evolutionary Monte Carlo.
23-38
- M. Bock, A. W. Bowman, B. Ismail:
Estimation and inference for error variance in bivariate nonparametric regression.
39-47
- Youngjo Lee, John A. Nelder, Maengseok Noh:
H-likelihood: problems and solutions.
49-55
- Sinjini Mitra, Nicole A. Lazar, Yanxi Liu:
Understanding the role of facial asymmetry in human face identification.
57-70
- Adelchi Azzalini, Nicola Torelli:
Clustering via nonparametric density estimation.
71-80
Volume 17,
Number 2,
June 2007
- Tsung I. Lin, Jack C. Lee, Wan J. Hsieh:
Robust mixture modeling using the skew t distribution.
81-92
- Loukia Meligkotsidou:
Bayesian multivariate Poisson mixtures with an unknown number of components.
93-107
- Radu V. Craiu, Christiane Lemieux:
Acceleration of the Multiple-Try Metropolis algorithm using antithetic and stratified sampling.
109-120
- Marc Lavielle, Cristian Meza:
A parameter expansion version of the SAEM algorithm.
121-130
- David S. Leslie, Robert Kohn, David J. Nott:
A general approach to heteroscedastic linear regression.
131-146
- Agostino Nobile, Alastair T. Fearnside:
Bayesian finite mixtures with an unknown number of components: The allocation sampler.
147-162
- Hongtu Zhu, Minggao Gu, Bradley S. Peterson:
Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm.
163-177
- B. Ganguli, M. P. Wand:
Feature significance in generalized additive models.
179-192
- Sourabh Bhattacharya, Alan E. Gelfand, Kent E. Holsinger:
Model fitting and inference under latent equilibrium processes.
193-208
Volume 17,
Number 3,
September 2007
- Allou Samé, Christophe Ambroise, Gérard Govaert:
An online classification EM algorithm based on the mixture model.
209-218
- Martin Neil, Manesh Tailor, David Marquez:
Inference in hybrid Bayesian networks using dynamic discretization.
219-233
- Jouni Kerman, Andrew Gelman:
Manipulating and summarizing posterior simulations using random variable objects.
235-244
- Richard J. Stevens, Trevor J. Sweeting:
Estimation across multiple models with application to Bayesian computing and software development.
245-252
- Woncheol Jang, Martin Hendry:
Cluster analysis of massive datasets in astronomy.
253-262
- Ajay Jasra, David A. Stephens, Christopher C. Holmes:
On population-based simulation for static inference.
263-279
- Alicja Jokiel-Rokita, Ryszard Magiera:
Minimax estimation of a probability of success under LINEX loss.
281-291
Volume 17,
Number 4,
December 2007
- Irène Gannaz:
Robust estimation and wavelet thresholding in partially linear models.
293-310
- James P. McDermott, G. Jogesh Babu, John C. Liechty, Dennis K. J. Lin:
Data skeletons: simultaneous estimation of multiple quantiles for massive streaming datasets with applications to density estimation.
311-321
- Jun Yan, Mary Kathryn Cowles, Shaowen Wang, Marc P. Armstrong:
Parallelizing MCMC for Bayesian spatiotemporal geostatistical models.
323-335
- Leena Choi, Brian C. Caffo, Charles Rohde:
Optimal sampling times in bioequivalence studies using a simulated annealing algorithm.
337-347
- A. Delaigle, Irène Gijbels:
Frequent problems in calculating integrals and optimizing objective functions: a case study in density deconvolution.
349-355
- Scott A. Sisson, Yanan Fan:
A distance-based diagnostic for trans-dimensional Markov chains.
357-367
- Øivind Skare, Jesper Møller, Eva B. Vedel Jensen:
Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks.
369-379
- John S. Preisser, Jamie Perin:
Deletion diagnostics for marginal mean and correlation model parameters in estimating equations.
381-393
- Ulrike von Luxburg:
A tutorial on spectral clustering.
395-416
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