The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long tradition of publishing work that is at the leading edge of methodological development, with a strong emphasis on relevance to statistical practice. Included are papers on study design, statistical models, methods of analysis and the theory that underlies them - almost invariably motivated or illustrated by real examples. Series B aims to disseminate work which is innovative, insightful and likely to have a substantial impact on the way that data are collected and analysed; within these parameters the journal's scope is broad, embracing for example relevant work in applied probability, computational methods and the foundations of statistics. Methodological papers read before the Society at its Ordinary Meetings, organized regularly by the Research Section of the Society, are published in Series B with full discussion and authors' response.

TopHighlights

The group lasso for logistic regression
Lukas Meier, Sarah van de Geer and Peter Bühlmann

L1-regularization path algorithm for generalized linear models
Mee Young Park and Trevor Hastie

Sure independence screening for ultrahigh dimensional feature space
Jianqing Fan and Jinchi Lv

Fast stable direct fitting and smoothness selection for generalized additive models
S. N. Wood

Testing in semiparametric models with interaction, with applications to gene-environment interactions
Arnab Maity, Raymond J. Carroll, Enno Mammen and Nilanjan Chatterjee

Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion)
A. Beskos, O. Papaspiliopoulos, G. O. Roberts and P. Fearnhead

Sequential Monte Carlo samplers
P. Del Moral, A. Doucet and A. Jasra

On the bias of the multiple-imputation variance estimator in survey sampling
J. K. Kim, J. M. Brick, W. A. Fuller and G. Kalton

On parametric bootstrap methods for small area prediction
P. Hall and T. Maiti

Discussion papers
Series B also publishes papers which have been presented for discussion at meeting of the society. Forthcoming discussion papers are available from the society's web pages. For recently published discussion papers, please browse the Series B online table of contents. Below is a selection that you can read for free.

Sampling bias and logistic models
P. McCullagh

Highly accessed papers
View the 10 most read articles in Series B (Statistical Methodology)

Highly cited papers
View the 10 most highly cited articles in Series B (Statistical Methodology)