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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

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Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

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IoT Security Issues
IoT Security Issues

IoT Security Issues looks at the burgeoning growth of devices of all kinds controlled over the Internet of all varieties, where product comes first and security second. In this case, security trails badly. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problem, investigating the stack...

Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions
Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions
Develop, validate, and deploy powerful decentralized applications using blockchain 


Get the most out of cutting-edge blockchain technology using the hands-on information contained in this comprehensive resource. Written by a team of technology and legal experts, Blockchain:...

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python
Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

About This Book

  • A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
  • Get to grips with the basics of Predictive...
Disciplined Entrepreneurship Workbook
Disciplined Entrepreneurship Workbook

The essential companion to the book that revolutionized entrepreneurship

Disciplined Entrepreneurship Workbook provides a practical manual for working the 24-step framework presented in Disciplined Entrepreneurship. Unlocking key lessons and breaking down the steps, this book helps you delve deeper into the...

The Handbook of Homicide (Wiley Handbooks in Criminology and Criminal Justice)
The Handbook of Homicide (Wiley Handbooks in Criminology and Criminal Justice)

The Handbook of Homicide presents a series of original essays by renowned authors from around the world, reflecting the latest scholarship on the nature, causes, and patterns of homicide, as well as policies and practices for its investigation and prevention.

  • Includes comprehensive coverage of the complex phenomenon...
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