The Electronic Journal of Statistics (EJS) publishes research articles and short notes in theoretical, computational and applied statistics. The journal is open access. Articles are refereed and are held to the same standard as articles in other IMS journals. Articles become publicly available shortly after they are accepted.
Electronic Journal of Statistics is sponsored by the Institute of Mathematical Statistics and by the Bernoulli Society.
Volume 2
Publication Date: 2008
Least squares type estimation of the transition density of a particular hidden Markov chain
Claire Lacour; 1-39
Estimation in a class of nonlinear heteroscedastic time series models
Joseph Ngatchou-Wandji; 40-62
Nonparametric Bayesian model selection and averaging
Subhashis Ghosal, Jüri Lember and Aad van der Vaart; 63-89
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators
Karim Lounici; 90-102
Structured variable selection in support vector machines
Seongho Wu, Hui Zou and Ming Yuan; 103-117
One more approach to the convergence of the empirical process to the Brownian bridge
Jean-François Marckert; 118-126
A scale-based approach to finding effective dimensionality in manifold learning
Xiaohui Wang and J. S. Marron; 127-148
Variable selection for the multicategory SVM via adaptive sup-norm regularization
Hao Helen Zhang, Yufeng Liu, Yichao Wu and Ji Zhu; 149-167
Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables
Benhuai Xie, Wei Pan and Xiaotong Shen; 168-212
Spatial modelling for mixed-state observations
Cécile Hardouin and Jian-Feng Yao; 213-233
Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes
Jean-Michel Billiot, Jean-François Coeurjolly and Rémy Drouilhet; 234-264
Deconvolution for an atomic distribution
Bert van Es, Shota Gugushvili and Peter Spreij; 265-297
Kullback Leibler property of kernel mixture priors in Bayesian density estimation
Yuefeng Wu and Subhashis Ghosal; 298-331
Electronic Journal of Statistics
