Probability and Statistics in the Physical Sciences

Focusing on practical applications of probability and statistics in experimental physics, this third edition serves both advanced undergraduates and graduate students. It includes worked problems with solutions and homework exercises to enhance understanding, making it accessible even to those without prior knowledge. The book covers a range of topics, including neural net techniques like deep learning and adversarial networks, while also featuring updated chapters on various statistical methods such as Bayes' theorem and likelihood estimation.