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ORCIDStatistics and Computing, Volume 17
Volume 17, Number 1, March 2007
- Wilfrid 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, Adrian 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, Matt 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, Gutti 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 - Aurore 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 Bjørn 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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