Six Papers on Dynamic Statistical Models
Article first published online: 21 FEB 2014
© 2014 Board of the Foundation of the Scandinavian Journal of Statistics.
Scandinavian Journal of Statistics
Volume 41, Issue 1, page 22, March 2014
How to Cite
Ditlevsen, S., Scheike, T. and Søensen, M. (2014), Six Papers on Dynamic Statistical Models. Scandinavian Journal of Statistics, 41: 22. doi: 10.1111/sjos.12082
- Issue published online: 21 FEB 2014
- Article first published online: 21 FEB 2014
The following six papers are based on invited lectures at the satellite meeting held at the University of Copenhagen before the 58th World Statistics Congress of the International Statistical Institute in Dublin in 2011. At the invitation of the Bernoulli Society, the satellite meeting was organized around the theme “Dynamic Statistical Models” as a part of the Program of Excellence at the University of Copenhagen on “Statistical methods for complex and high dimensional models” (http://statistics.ku.dk/). The Excellence Program in Statistics was a research project to develop and investigate statistical methodology and theory for large and complex data sets that included biostatisticians and mathematical statisticians from three faculties at the University of Copenhagen.
The satellite meeting took place August 17–19, 2011. Its purpose was to bring together researchers in statistics and related areas working with frontier research topics in statistics for dynamic models. This issue of SJS contains a quite diverse collection of six papers from the conference:
Spectral Estimation of Covolatility from Noisy Observations Using Local Weights
Markus Bibinger and Markus Reiß
One-Way Anova for Functional Data via Globalizing the Pointwise F-test
Jin-Ting Zhang and Xuehua Liang
Weakly Decomposable Regularization Penalties and Structured Sparsity
Sara van de Geer
Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization
Jin Liu, Shuangge Ma and Jian Huang
Inference in Targeted Group-Sequential Covariate-Adjusted Randomized Clinical Trials
Antoine Chambaz and Mark J. van der Laan
Estimation of Causal Odds of Concordance using the Aalen Additive Model
Torben Martinussen and Christian Bressen Pipper
We would like to acknowledge the financial support from the University of Copenhagen Program of Excellence and Elsevier. We would also like to thank the authors for contributing interesting papers, the referees for their helpful reports, and the present and previous editors of SJS for their support of the publication of the papers from the satellite meeting.