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Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering;
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Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the;
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Bayesian methods are being increasingly employed in many different areas of research in the physical sciences. In astrophysics, models are;
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methods for analyzing real-world problems in the health sciences. The work considers the individual components of Bayesian analysis.;College or;
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methods for analyzing real-world problems in the health sciences. The work considers the individual components of Bayesian analysis.;College or;
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behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.;
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methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica (R) notebooks with solutions to selected;
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methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica (R) notebooks with solutions to selected;
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relevant foundations, the scientific community can avoid applying Bayesian methods on a merely ad hoc basis. For over 35 years, the MaxEnt;
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The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian;
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programs.Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social;
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Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis;
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Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis;
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* Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for;
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This volume contains the proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods, held in Sante Fe, New;
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scientific method in general and is widely used across the social, biological, medical, and physical sciences. Key to this book's novel and informal;
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, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and;
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data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake;
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data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake;
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. The book is ideal for students and researchers in physical sciences and engineering.;
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industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book;
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Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by;
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a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;
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a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;
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users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments;
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users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments;
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