Statistical Learning from a Regression Perspective

By Shalabh. 2009

87 citations recorded by the source corpus.

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Fairness in Criminal Justice Risk Assessments: The State of the Art (2017, methodology): “:3) ð L ; S Þ when conditional use accuracy is the same for both protected group classes (Berk 2016b).”
Working with Misspecified Regression Models (2018, background): “This constitutes model selection that introduces significant complications for all statistical inference (Berk 2016, Chapter 2).”
Predictive Analytics in Information Systems Research (2011, unknown): “A popular method to obtain out-of-sample data is to initially partition the data randomly, using one part (the training set) to fit the empirical model, and the other (the holdout set) to assess the model’s predictive accuracy (Berk 2008, p.31; Hastie et al. 2008, p. 222).”
A survey of functional principal component analysis (2014, background): “2000), climatology (Meiring 2007), criminology (Berk 2008), data mining (Hand 2007), demographic forecasting (Hyndman & Ullah 2007, Hyndman & Booth 2008, Hyndman & Shang 2009), electronic commerce research (Wang, Jank & Shmueli 2008), marketing science (Wang, Jank, Shmueli & Smith 2008), medical res”
Forecasting Domestic Violence: A Machine Learning Approach to Help Inform Arraignment Decisions (2016, background): “As a mathematical matter, it is only the relative costs that count (Berk 2008:Sec.”