Journal of the Royal Statistical Society: Series C (Applied Statistics)

Most Cited

Journal of the Royal Statistical Society - Series C: Applied Statistics Most Cited Papers Published in 2011 & 2012

Using integrated nested Laplace approximations for the evaluation of veterinary surveillance data from Switzerland: a case-study
Birgit Schrödle, Leonhard Held, Andrea Riebler, Jürg Danuser

Weighting methods for population-based case-control studies with complex sampling
Yan Li, Barry I. Graubard, Ralph DiGaetano

Estimating the density of Antarctic krill (Euphausia superba) from multi-beam echo-sounder observations using distance sampling methods
Martin J. Cox, David L. Borchers, David A. Demer, George R. Cutter, Andrew S. Brierley

Fast Bayesian analysis of spatial dynamic factor models for multitemporal remotely sensed imagery
C. M. Strickland, D. P. Simpson, I. W. Turner, R. Denham, K. L. Mengersen

Selection of ordinally scaled independent variables with applications to international classification of functioning core sets
Jan Gertheiss, Sara Hogger, Cornelia Oberhauser, Gerhard Tutz

Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing
Yuanjia Wang, Chiahui Huang, Yixin Fang, Qiong Yang, Runze Li

Bayesian gene set analysis for identifying significant biological pathways
Babak Shahbaba, Robert Tibshirani, Catherine M. Shachaf, Sylvia K. Plevritis

Missing data in a stochastic Dollo model for binary trait data, and its application to the dating of Proto-Indo-European
Robin J. Ryder, Geoff K. Nicholls

Approximate Bayesian computation using indirect inference
Christopher C. Drovandi, Anthony N. Pettitt, Malcolm J. Faddy

Optimum design of experiments for statistical inference
Steven G. Gilmour, Luzia A. Trinca