Spike-and-slab type variable selection in the Cox proportional hazards model for high-dimensional features. [PDF]
J Appl Stat, 2022 Wu R, Ahn M, Yang H.
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Sparse Multivariate Linear Regression with Strongly Associated Response Variables. [PDF]
J Multivar AnalHam D, Price BS, Rothman AJ.
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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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A mixed Bell regression model for overdispersed medical count data. [PDF]
J Appl StatDos Santos NCA, Bazán JL, Lemonte AJ.
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General location multivariate latent variable models for mixed correlated bounded continuous, ordinal, and nominal responses with non-ignorable missing data. [PDF]
J Appl Stat, 2021 Tabrizi E, Bahrami Samani E, Ganjali M.
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Investigating the ecological fallacy through sampling distributions constructed from finite populations. [PDF]
Monte Carlo Methods ApplTorres DJ, Rouson D.
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Logistic Regression Model for a Bivariate Binomial Distribution with Applications in Baseball Data Analysis. [PDF]
Entropy (Basel), 2022 Han Y, Kim J, Ng HKT, Kim SW.
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On an additive decomposition of the BLUE in a multiple-partitioned linear model
Necessary and sufficient conditions are derived for the BLUE in a general multiple-partitioned linear model to be the sum of the BLUEs under the k small models , ..., .
Tian, Yongge
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Ridge-penalized Zero-Inflated Probit Bell model for multicollinearity in count data. [PDF]
J Appl StatAli E, Lukman AF.
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NORMAL MAXIMUM LIKELIHOOD, WEIGHTED LEAST SQUARES, AND RIDGE REGRESSION ESTIMATES
, 2012 . There have been many papers published (in almost every statistics related journal) suggesting that normal maximum likelihood is superior or inferior to weighted least squares and other approaches.
A D +5 more
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