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You are here : Publications : Journals : Journal Series B: Current and Forthcoming Papers

Journal Series B: Current and Forthcoming Papers

Volume 75 (2013), part 2

Available on line to subscribers from the Wiley Online Library Web site (please log in first at My RSS, then click on 'My Publications' to view your journals and be taken through to the Wiley website).

A return to an old paper: 'Tests of separate families of hypotheses' (with comments)
D. R. Cox

Independent screening for single-index hazard rate models with ultrahigh dimensional features
A. Gorst-Rasmussen and T. Scheike

Residuals and goodness-of-fit tests for stationary marked Gibbs point processes
J.-F. Coeurjolly and F. Lavancier

Non-parametric survival analysis of infectious disease data
E. Kenah

Doubly robust and efficient estimators for heteroscedastic partially linear single-index models allowing high dimensional covariates
Y. Ma and L. Zhu

Inference for linear models with dependent errors
Z. Zhou and X. Shao

Optimal predictions of powers of conditionally heteroscedastic processes
C. Francq and J.-M. Zakoïan

Adjusting treatment effect estimates by post-stratification in randomized experiments
L. W. Miratrix, J. S. Sekhon and B. Yu

Forthcoming papers

SMC2: an efficient algorithm for sequential analysis of state space models
N. Chopin, P. E. Jacob and O. Papaspiliopoulos

Estimating heterogeneity variance in meta-analysis
A. L. Rukhin

Tuning parameter selection in high dimensional penalized likelihood
Y. Fan and C. Y. Tang

Condition-number-regularized covariance estimation
J.-H. Won, J. Lim, S.-J. Kim and B. Rajaratnam

Differential geometric least angle regression: a differential geometric approach to sparse generalized linear models
L. Augugliaro, A, M. Mineo and E. C. Wit

Comparing distributions by using dependent normalized random-measure mixtures
J. E. Griffin, M. Kolossiatis and M. F. J. Steel

Extended likelihood approach to large-scale multiple testing
Y. Lee and J. F. Bjørnstad

Fast bivariate P-splines: the sandwich smoother
L. Xiao, Y. Li and D. Ruppert

Probabilistic causality and detecting collections of interdependence patterns
R. R. Ramsahai

Spatial spline regression models
L. M. Sangalli, J. O. Ramsay and T. O. Ramsay

Smoothing parameter selection in two frameworks for penalized splines
T. Krivobokova

A test for second-order stationarity and approximate confidence intervals for localized autocovariances for locally stationary time series
G. Nason

Conditional transformation models
T. Hothorn, T. Kneib and P. Bühlmann

Asymptotics of the discrete log-concave maximum likelihood estimator and related applications
F. Balabdaoui, H. Jankowski, K. Rufibach and M. Pavlides

Statistical inference for max-stable processes in space and time
R. A. Davis, C. Klüppelberg and C. Steinkohl

Point process modelling for directed interaction networks
P. O. Perry and P. J. Wolfe

A separable model for dynamic networks
P. N. Krivitsky and M. S. Handcock

Outlier robust small area estimation
R. Chambers, H. Chandra, N. Salvati and N. Tzavidis

Envelopes and partial least squares regression
R. D. Cook, I. S. Helland and Z. Su

Marginal log-linear parameters for graphical Markov models
R. J. Evans and T. S. Richardson

Non-parametric identification and estimation of the number of components in multivariate mixtures
H. Kasahara and K. Shimotsu

Distribution-free prediction bands for non-parametric regression
J. Lei and L. Wasserman

Model selection principles in misspecified models
J. Lv and J. S. Liu

Improved estimation in cumulative link models
I. Kosmidis

Confidence intervals for low dimensional parameters in high dimensional linear models
C. Zhang and S. S. Zhang

Covariate balancing propensity score
K. Imai and M. Ratkovic

Semiparametric inference for data with a continuous outcome from a two-phase probability-dependent sampling scheme
H. Zhou, W. Xu, D. Zeng and J. Cai
 

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