Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation

Regularized estimation of large-scale gene association networks using graphical Gaussian models

Regularized Least-Mean-Square Algorithms

Regularized Matrix Regression

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Rejoinder to "Feature Matching in Time Series Modeling"

Rejoinder to "Is Bayes Posterior just Quick and Dirty Confidence?"

Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models

Rejoinder: Boosting Algorithms: Regularization, Prediction and Model Fitting

Rejoinder: Citation Statistics

Rejoinder: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

Rejoinder: Expert Elicitation for Reliable System Design

Rejoinder: Fisher Lecture: Dimension Reduction in Regression

Rejoinder: Gibbs Sampling, Exponential Families and Orthogonal Polynomials

Rejoinder: Harold Jeffreys's Theory of Probability Revisited