Introduction to Bayesian Econometrics pdf epub mobi txt 电子书 下载 2025
- 贝叶斯计量经济学
- 计量经济学
- 贝叶斯统计
- 经济计量模型
- 统计推断
- 时间序列分析
- 面板数据
- 因果推断
- R语言
- Python
具体描述
This 2008 book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probability. Bayesian econometrics takes probability theory as applying to all situations in which uncertainty exists, including uncertainty over the values of parameters. A distinguishing feature of this book is its emphasis on classical and Markov chain Monte Carlo (MCMC) methods of simulation. The book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics, and other applied fields. These include the linear regression model and extensions to Tobit, probit, and logit models; time series models; and models involving endogenous variables.
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