Computational Statistics & Data Analysis, Volume 72

Volume 72, April 2014

Statistical Methodology for Data Analysis

• 
  Hengzhen Huang, Jinyu Yang, Min-Qian Liu:
  Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs. 1-12
• 
  Bradley C. Turnbull, Sujit K. Ghosh:
  Unimodal density estimation using Bernstein polynomials. 13-29

Computational Statistics

• 
  Mathieu Bonneau, Sabrina Gaba, Nathalie Peyrard, Régis Sabbadin:
  Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction. 30-44

Statistical Methodology for Data Analysis

• 
  Ana Colubi, J. Santos Domínguez-Menchero, Gil González-Rodríguez:
  Testing constancy in monotone response models. 45-56
• 
  Peter Malec, Melanie Schienle:
  Nonparametric kernel density estimation near the boundary. 57-76

Computational Statistics

• 
  Sanjoy K. Sinha, Amit Kaushal, Wenzhong Xiao:
  Inference for longitudinal data with nonignorable nonmonotone missing responses. 77-91
• 
  Lisa L. Doove, Stef van Buuren, Elise Dusseldorp:
  Recursive partitioning for missing data imputation in the presence of interaction effects. 92-104
• 
  Diman Todorov, Rossi Setchi:
  Time-efficient estimation of conditional mutual information for variable selection in classification. 105-127

Statistical Methodology for Data Analysis

• 
  Christopher C. Drovandi, Anthony N. Pettitt, Robert D. Henderson, Pamela A. McCombe:
  Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation. 128-146

Computational Statistics

• 
  Man-Suk Oh:
  Bayesian test on equality of score parameters in the order restricted RC association model. 147-157

Statistical Methodology for Data Analysis

• 
  Shijie Tang, Lisha Chen, Kam-Wah Tsui, Kjell A. Doksum:
  Nonparametric variable selection and classification: The CATCH algorithm. 158-175

Computational Statistics

• 
  Derek Beaton, Cherise R. Chin Fatt, Hervé Abdi:
  An ExPosition of multivariate analysis with the singular value decomposition in R. 176-189

Statistical Methodology for Data Analysis

• 
  Johan Segers, Nathan Uyttendaele:
  Nonparametric estimation of the tree structure of a nested Archimedean copula. 190-204

Computational Statistics

• 
  Jianhua Zhao, Lei Shi:
  Automated learning of factor analysis with complete and incomplete data. 205-218
• 
  Jessica M. Franklin, Sebastian Schneeweiss, Jennifer M. Polinski, Jeremy A. Rassen:
  Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases. 219-226
• 
  Lars Lau Rakêt, Bo Markussen:
  Approximate inference for spatial functional data on massively parallel processors. 227-240

Statistical Methodology for Data Analysis

• 
  Nabil Channouf, Marc Fredette, Brenda MacGibbon:
  Power and sample size calculations for Poisson and zero-inflated Poisson regression models. 241-251

Computational Statistics

• 
  Giusi Moffa, Jack Kuipers:
  Sequential Monte Carlo EM for multivariate probit models. 252-272

Statistical Methodology for Data Analysis

• 
  Stephen Portnoy:
  The jackknife's edge: Inference for censored regression quantiles. 273-281

Computational Statistics

• 
  Ray-Bing Chen, Yen-Wen Hsu, Ying Hung, Weichung Wang:
  Discrete particle swarm optimization for constructing uniform design on irregular regions. 282-297
• 
  Silvia Pandolfi, Francesco Bartolucci, Nial Friel:
  A generalized multiple-try version of the Reversible Jump algorithm. 298-314

Statistical Methodology for Data Analysis

• 
  Lijing Lin, Nicholas J. Higham, Jianxin Pan:
  Covariance structure regularization via entropy loss function. 315-327