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.
Clinical Psychology invites students to think like a clinical psychologist and develop an integrated sense of how science, experience, ethical behavior, and intuition get woven into our professional i
Clinical Psychology invites students to think like clinical psychologists and develop an integrated sense of how science, experience, ethical behavior, and intuition get woven into our professional id
