Bayesian Probability Theory. Applications in the Physical Sciences
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- Nombre de pages637
- PrésentationRelié
- FormatGrand Format
- Poids1.289 kg
- Dimensions17,5 cm × 25,0 cm × 4,5 cm
- ISBN978-1-107-03590-4
- EAN9781107035904
- Date de parution12/06/2014
- ÉditeurCambridge University Press
Résumé
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.
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.
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.
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.