Search Results for: Estimation And Testing Under Sparsity

Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizer

Over seventy years ago, Richard Bellman coined the term “the curse of dimensionality” to describe phenomena and computational challenges that arise in high

This book contains contributions from the participants of the international conference “Foundations of Modern Statistics” which took place at Weierstrass In

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computati

This book brings together the latest findings in the area of stochastic analysis and statistics. The individual chapters cover a wide range of topics from limit