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Covering all aspects of probability theory, statistics and data analysis from a Bayesian perspective, this book is ideal for graduate... Læs mere
This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code,... Læs mere
Reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. This... Læs mere
This text presents a self-contained introduction to elementary probability theory and stochastic processes with a special emphasis on their applications in... Læs mere
This text shows students how probability has practical uses in many different fields, such as business, politics, and sports. It requires minimal mathematics... Læs mere
This text focuses on the simulation of stochastic processes in continuous time and their link with PDEs. It covers linear and... Læs mere
This gracefully organized text presents the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises,... Læs mere
This is the third edition of a popular UK textbook on stochastic processes. It has been updated with a new chapter on diffusion processes and Brownian... Læs mere
Demographic estimation and forecasting is an important practical problem. Population projections are used to guide billions of dollars of expenditure on... Læs mere
This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.