A new linearized ridge Poisson estimator in the presence of multicollinearity. [PDF]
J Appl Stat, 2022 Jadhav NH.
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Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates. [PDF]
Bayesian Anal, 2023 Nishimura A, Suchard MA.
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A new kind of stochastic restricted biased estimator for logistic regression model. [PDF]
J Appl Stat, 2021 Alheety MI, Månsson K, Golam Kibria BM.
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SURPRISES IN HIGH-DIMENSIONAL RIDGELESS LEAST SQUARES INTERPOLATION. [PDF]
Ann Stat, 2022 Hastie T +3 more
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An empirical evaluation of small area estimators [PDF]
This paper investigates the comparative performance of five small area estimators. We use Monte Carlo simulation in the context of both theoretical and empirical populations.
Albert Satorra, Eva Ventura, Àlex Costa
core
An Empirical Evaluation of Five Small Area Estimators [PDF]
This paper compares five small area estimators. We use Monte Carlo simulation in the context of both artificial and real populations. In addition to the direct and indirect estimators, we consider the optimal composite estimator with population weights ...
Albert Satorra, Alex Costa, Eva Ventura
core
High-Dimensional $L_2$Boosting: Rate of Convergence
, 2016 Boosting is one of the most significant developments in machine learning. This paper studies the rate of convergence of $L_2$Boosting, which is tailored for regression, in a high-dimensional setting.
Luo, Ye, Spindler, Martin
core
Variable selection in finite mixture of regression models using the skew-normal distribution. [PDF]
J Appl Stat, 2020 Yin J, Wu L, Dai L.
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Improving small area estimation by combining surveys: new perspectives in regional statistics [PDF]
A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province.
Albert Satorra, Alex Costa, Eva Ventura
core
A Penalized Maximum Likelihood Approach to Sparse Factor Analysis
, 2010 Jangho Choi, H. Zou, Gary W. Oehlert
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