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Understanding Gravitational Waves

The birth of a completely new branch of observational astronomy is a rare and exciting occurrence. For a long time, our theories about gravitational wave-proposed by Albert Einstein and others more than a hundred years ago-could never be fully …

Handbook of Gravitational Wave Astronomy

Gravitational Waves

The detection of gravitational waves has ushered in a new era of gravitational wave astronomy and added a new medium to multi-messenger astronomy. This book examines the theoretical foundation of gravitational waves and the state of the art of …

Bayesian astrophysics

Bayesian Learning for Neural Networks

Artificial \"neural networks\" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates …

Graphical Models, Exponential Families, and Variational Inference

The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in …

Pattern recognition and machine learning