圖書標籤: model-selection 數據分析 數學 econometrics
发表于2024-12-25
Model Selection and Model Averaging pdf epub mobi txt 電子書 下載 2024
Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer? Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code.
統計學中模型選擇的經典書籍,與其他學科的交叉還有待開發。
評分統計學中模型選擇的經典書籍,與其他學科的交叉還有待開發。
評分統計學中模型選擇的經典書籍,與其他學科的交叉還有待開發。
評分統計學中模型選擇的經典書籍,與其他學科的交叉還有待開發。
評分統計學中模型選擇的經典書籍,與其他學科的交叉還有待開發。
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Model Selection and Model Averaging pdf epub mobi txt 電子書 下載 2024