ePrivacy and GPDR Cookie Consent by Cookie Consent

What to read after Bayesian Probability Theory?

Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Bayesian Probability Theory" by Udo von Toussaint! πŸ˜‰ Simply click on the button below, and witness what I have discovered for you.

Exciting news! I've found some fantastic books for you! πŸ“šβœ¨ Check below to see your tailored recommendations. Happy reading! πŸ“–πŸ˜Š

Bayesian Probability Theory

Applications in the Physical Sciences

Udo von Toussaint , Volker Dose , Wolfgang von der Linden

Mathematics / General

From the basics to the forefront of modern research, this book presents all aspects of probability theory, statistics and data analysis from a Bayesian perspective for physicists and engineers. The book presents the roots, applications and numerical implementation of probability theory, and covers advanced topics such as maximum entropy distributions, stochastic processes, parameter estimation, model selection, hypothesis testing and experimental design. In addition, it explores state-of-the art numerical techniques required to solve demanding real-world problems. The book is ideal for students and researchers in physical sciences and engineering.
Do you want to read this book? 😳
Buy it now!

Are you curious to discover the likelihood of your enjoyment of "Bayesian Probability Theory" by Udo von Toussaint? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.