## Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014Arnoldo Frigessi, Peter Bühlmann, Ingrid Glad, Mette Langaas, Sylvia Richardson, Marina Vannucci This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvċgar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic applications. The contributors, who are among the most prominent researchers on the theory of statistics for high dimensional inference, present new theories and methods, as well as challenging applications and computational solutions. Specific themes include, among others, variable selection and screening, penalised regression, sparsity, thresholding, low dimensional structures, computational challenges, non-convex situations, learning graphical models, sparse covariance and precision matrices, semi- and non-parametric formulations, multiple testing, classification, factor models, clustering, and preselection. Highlighting cutting-edge research and casting light on future research directions, the contributions will benefit graduate students and researchers in computational biology, statistics and the machine learning community. |

### What people are saying - Write a review

### Contents

1 | |

15 | |

Preselection in LassoType Analysis for UltraHigh Dimensional Genomic Exploration | 37 |

A Reviewand a New Algorithm | 67 |

Bayesian Hierarchical Mixture Models | 91 |

Integrative Bayesian Analysis of Transcriptomic and CGH Data | 105 |

Models of Random Sparse Eigenmatrices and Bayesian Analysis of Multivariate Structure | 125 |

Combining Single and Paired End RNAseq Data for Differential Expression Analyses | 155 |

An Imputation Method for Estimating the Learning Curve in Classification Problems | 189 |

Bayesian Feature Allocation Models for Tumor Heterogeneity | 211 |

The Case of a Nonseparable Penalty | 233 |

Confidence Intervals for Maximin Effects in Inhomogeneous LargeScale Data | 255 |

χ2Confidence Sets in HighDimensional Regression | 279 |

### Other editions - View all

Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014 Arnoldo Frigessi,Peter Buhlmann,Ingrid Glad No preview available - 2018 |