Model Selection

By L. Wolstenholme. Encyclopedia of Machine Learning and Data Mining, 2018

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Pre-Event Trends in the Panel Event-Study Design (2019, background): “Because the number of potential leads will usually be small and the instruments are ordered (with closer leads more likely to be informative), BIC will often be a natural choice among formal methods for instrument selection (Rao et al. 2001).”
Uniformly valid confidence intervals post-model-selection (2016, background): “This overcomes another limitation present in Berk et al. (2013), namely the assumption that there exists an unbiased (and chi-square distributed) or uni- formly consistent estimator of the variance of the observations (cf. the discussion in Remark 2.1 of Leeb, Pötscher and Ewald (2015) and in Appen”
Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data (2015, methodology): “…studies of treatment effects they can be used as an alternative to inverse probability weighting (where weights are multiplied successively tending to achieve very large values; Hogan and Lancaster 2004), and as a complement to marginal structural models (Joffe et al. 2004; Cole and Hernán 2008).”
Inferences and Optimal Censoring Schemes for Progressively First-Failure Censored Nadarajah-Haghighi Distribution (2020, background): “The considered data set is taken form Linhart and Zucchini (1986), which represents the failure times of the air conditioning system of an air-plane.”