Данная книга предоставляет читателям полное понимание байесовского анализа, основанного на теории вывода и оптимального принятия решений.
“Contemporary Bayesian Econometrics and Statistics” знакомит читателей с современными методами симуляции и моделями, используемыми для решения сложных реальных проблем. Вооружившись прочными знаниями как в теории, так и в практических инструментах решения проблем, читатели узнают, как оптимизировать принятие решений при решении проблем, связанных с ограниченными или неполными данными.
Книга начинается с изучения теоретических и математических основ байесовской статистики, чтобы помочь читателям понять, как и почему она используется в решении проблем. Затем автор описывает, как современные методы симуляции делают байесовские подходы практичными с использованием широко доступных программных приложений.
Электронная Книга «Contemporary Bayesian Econometrics and Statistics» написана автором Группа авторов в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9780471744726
Описание книги от Группа авторов
Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.
