Statistical Analysis for High-Dimensional Data

1. Some Themes in High-Dimensional Statistics
Arnoldo Frigessi, Peter Bühlmann, Ingrid K. Glad, Sylvia Richardson, Marina Vannucci

2. Laplace Approximation in High-Dimensional Bayesian Regression
Rina Foygel Barber, Mathias Drton, Kean Ming Tan

3. Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration
Linn Cecilie Bergersen, Ismaïl Ahmed, Arnoldo Frigessi, Ingrid K. Glad, Sylvia Richardson

4. Spectral Clustering and Block Models: A Review and a New Algorithm
Sharmodeep Bhattacharyya, Peter J. Bickel

5. Bayesian Hierarchical Mixture Models
Leonardo Bottolo, Petros Dellaportas

6. iBATCGH: Integrative Bayesian Analysis of Transcriptomic and CGH Data
Alberto Cassese, Michele Guindani, Marina Vannucci

7. Models of Random Sparse Eigenmatrices and Bayesian Analysis of Multivariate Structure
Andrew Cron, Mike West

8. Combining Single and Paired End RNA-seq Data for Differential Expression Analyses
Zhi-Ping Feng, Francois Collin, Terence P. Speed

9. An Imputation Method for Estimating the Learning Curve in Classification Problems
Eric B. Laber, Kerby Shedden, Yang Yang

10. Bayesian Feature Allocation Models for Tumor Heterogeneity
Juhee Lee, Peter Müller, Subhajit Sengupta, Kamalakar Gulukota, Yuan Ji

11. Bayesian Penalty Mixing: The Case of a Non-separable Penalty
Veronika Ročková, Edward I. George

12. Confidence Intervals for Maximin Effects in Inhomogeneous Large-Scale Data
Dominik Rothenhäusler, Nicolai Meinshausen, Peter Bühlmann

13.
χ
2-Confidence Sets in High-Dimensional Regression
Sara Geer, Benjamin Stucky

Avainsanat: Mathematics, Computational Mathematics and Numerical Analysis, Statistical Theory and Methods, Bioinformatics, Statistics and Computing/Statistics Programs, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences