DOI10.2307/2981576zbMath0584.62106OpenAlexW2801961936MaRDI QIDQ3707158
Alan J. Miller
Publication date: 1984
Published in: Journal of the Royal Statistical Society. Series A (General) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2981576
Multi‐parameter regression survival modeling: An alternative to proportional hazards,
Empirical modeling in dynamic econometrics,
Evaluating the impact of exploratory procedures in regression prediction: A pseudosample approach,
Search for the best decision rules with the help of a probabilistic estimate,
Influential subsets on the variable selection,
The large-sample performance of backwards variable elimination,
Mixed integer nonlinear goal programming approach to variable selection in linear regression,
Wrappers for feature subset selection,
Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques,
Subset selection for multiple linear regression via optimization,
Controlling the false discovery rate via knockoffs,
Subset Selection for Linear Mixed Models,
p-Value adjustment to control type I errors in linear regression models,
On the robustness of Mallows’ Cp criterion,
A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data,
The use of conditional cutoffs in a forward selection procedure,
Variable selection for general index models via sliced inverse regression,
Conditional p-values for the F-statistic in a forward selection procedure,
Supersparse linear integer models for optimized medical scoring systems,
Efficient variable screening for multivariate analysis,
The asymptotic distribution of the proportion of correct classifications for a holdout sample in logistic regression,
Transformation-based model averaged tail area inference,
Adjusting Stepwisep-Values in Generalized Linear Models,
Robust stepwise regression,
On model selection in the computer age,
A graph approach to generate all possible regression submodels,
Reducing bias in parameter estimates from stepwise regression in proportional hazards regression with right-censored data,
Bayesian variable assessment,
Robust open Bayesian analysis: Overfitting, model uncertainty, and endogeneity issues in multiple regression models,
All possible subset regressions using the QR decomposition,
Variable selection for structural models