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HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Generational gains in memory capacity and stability may account for declining dementia incidence rates in Europe and the United States

Fjell A, Grodem E, Lunansky G, Vidal D, Rogeberg O, Walhovd K.   +5 more
europepmc   +1 more source

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Bayesian quantile regression

Statistics and Probability Letters, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Keming Yu, Rana Moyeed
exaly   +3 more sources

Bayesian model selection in ordinal quantile regression

Computational Statistics and Data Analysis, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rahim Alhamzawi
exaly   +2 more sources

Bayesian joint-quantile regression

Computational Statistics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yingying Hu, Huixia Judy Wang, Xuming He 0002, Jianhua Guo 0005   +3 more
openaire   +1 more source

Bayesian reciprocal LASSO quantile regression

Communications in Statistics - Simulation and Computation, 2020
The reciprocal LASSO estimate for linear regression corresponds to a posterior mode when independent inverse Laplace priors are assigned on the regression coefficients.
Rahim Alhamzawi, Himel Mallick
openaire   +1 more source

Bayesian bridge quantile regression

Communications in Statistics - Simulation and Computation, 2018
Regularization methods for simultaneous variable selection and coefficient estimation have been shown to be effective in quantile regression in improving the prediction accuracy.
Rahim Alhamzawi, Zakariya Yahya Algamal
openaire   +1 more source

Bayesian Quantile Regression for Censored Data

Biometrics, 2013
AbstractSummaryIn this paper we propose a semiparametric quantile regression model for censored survival data. Quantile regression permits covariates to affect survival differently at different stages in the follow‐up period, thus providing a comprehensive study of the survival distribution.
Reich, Brian J., Smith, Luke B.
openaire   +3 more sources

Bayesian tobit quantile regression with penalty

Communications in Statistics - Simulation and Computation, 2017
ABSTRACTTobit quantile regression (QReg) model provides an efficient way of coping with left-censored data and can be viewed as a linear QReg model, where only the data on the dependent variable is incompletely observed. This article considers the regularizer in tobit QReg from a Bayesian perspective.
Rahim Alhamzawi, Haithem Taha Mohammad Ali   +1 more
openaire   +1 more source