The Annals of Applied Statistics

An Official Journal of the Institute of Mathematical Statistics.


Volume 5, Number 4

Publication Date: December 2011

Frontmatter

Table of Contents

Editorial Board

Special Section on Modern Multivariate Analysis

Special section on modern multivariate analysis

Karen Kafadar; 2265

The duality diagram in data analysis: Examples of modern applications

Omar De la Cruz and Susan Holmes; 2266-2277

Revisiting Guerry’s data: Introducing spatial constraints in multivariate analysis

Stéphane Dray and Thibaut Jombart; 2278-2299

Simultaneous analysis of a sequence of paired ecological tables: A comparison of several methods

Jean Thioulouse; 2300-2325

Analysis of a data matrix and a graph: Metagenomic data and the phylogenetic tree

Elizabeth Purdom; 2326-2358

Articles

Modeling of the HIV infection epidemic in the Netherlands: A multi-parameter evidence synthesis approach

Stefano Conti, Anne M. Presanis, Maaike G. van Veen, Maria Xiridou, Martin C. Donoghoe, Annemarie Rinder Stengaard and Daniela De Angelis; 2359-2384

Multivariate Bayesian semiparametric models for authentication of food and beverages

Luis Gutiérrez and Fernando A. Quintana; 2385-2402

Prototype selection for interpretable classification

Jacob Bien and Robert Tibshirani; 2403-2424

A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration

Brian J. Reich, Jo Eidsvik, Michele Guindani, Amy J. Nail and Alexandra M. Schmidt; 2425-2447

A method for exploratory repeated-measures analysis applied to a breast-cancer screening study

Adam R. Brentnall, Stephen W. Duffy, Martin J. Crowder, Maureen G. C. Gillan, Susan M. Astley, Matthew G. Wallis, Jonathan James, Caroline R. M. Boggis and Fiona J. Gilbert; 2448-2469

Efficient emulators of computer experiments using compactly supported correlation functions, with an application to cosmology

Cari G. Kaufman, Derek Bingham, Salman Habib, Katrin Heitmann and Joshua A. Frieman; 2470-2492

Classification and clustering of sequencing data using a Poisson model

Daniela M. Witten; 2493-2518

Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors

Huiyan Sang, Mikyoung Jun and Jianhua Z. Huang; 2519-2548

Residual analysis methods for space–time point processes with applications to earthquake forecast models in California

Robert Alan Clements, Frederic Paik Schoenberg and Danijel Schorlemmer; 2549-2571

Sparse approximations of protein structure from noisy random projections

Victor M. Panaretos and Kjell Konis; 2572-2602

Bayesian matching of unlabeled marked point sets using random fields, with an application to molecular alignment

Irina Czogiel, Ian L. Dryden and Christopher J. Brignell; 2603-2629

A sparse conditional Gaussian graphical model for analysis of genetical genomics data

Jianxin Yin and Hongzhe Li; 2630-2650

A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity

Enrique F. Schisterman, Albert Vexler, Aijun Ye and Neil J. Perkins; 2651-2667

Efficient, adaptive cross-validation for tuning and comparing models, with application to drug discovery

Hui Shen, William J. Welch and Jacqueline M. Hughes-Oliver; 2668-2687

2012 © Institute of Mathematical Statistics