Subjective And Objective Bayesian Statistics: Principles, Models, And Applications, 2nd Edition

This book provides the only comprehensive source on how to translate our physical understanding of sound in the sea into mathematical formulas solvable by computers. The book includes practical guidelines for scientists and mathematicians needing to select and use the models, and shows them how the behaviour of sound can be modeled in a complex environment.

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It features new material on partially observable Markov decision processes, graphical models, and deep learning, as well as an even greater number of exercises.