Results 41 to 50 of about 44,356 (305)
Bayesian Tobit quantile regression using-prior distribution with ridge parameter [PDF]
A Bayesian approach is proposed for coefficient estimation in the Tobit quantile regression model. The proposed approach is based on placing a g-prior distribution depends on the quantile level on the regression coefficients.
Bilias Y +5 more
core +1 more source
Abstract This study explored the validity of person judgements by targets and their acquaintances (‘informants’) in longitudinally predicting a broad range of psychologically meaningful life experiences. Judgements were gathered from four sources (targets, N = 189; and three types of informants, N = 1352), and their relative predictive validity was ...
Nele M. Wessels +3 more
wiley +1 more source
bayesQR: A Bayesian Approach to Quantile Regression
After its introduction by Koenker and Basset (1978), quantile regression has become an important and popular tool to investigate the conditional response distribution in regression. The R package bayesQR contains a number of routines to estimate quantile
Dries F. Benoit, Dirk Van den Poel
doaj +1 more source
A Quantile Regression Analysis of the Effect of Farmers’ Attitudes and Perceptions on Market Participation [PDF]
The objective of this study is to investigate the subjective determinants of farmers’ participation in output markets in five EU New Member States (NMS) characterised by large semi-subsistence sectors.
Davidova, Sophia, Kostov, Phillip
core +1 more source
Prior elicitation in Bayesian quantile regression for longitudinal data [PDF]
© 2011 Alhamzawi R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original auhor and source are ...
Al-Hamzawi, R, Pan, J, Yu, K
core +1 more source
The effect of agricultural futures price changes on the agricultural production in AP Vojvodina [PDF]
This paper investigates whether global agricultural futures of corn, wheat, oats, soybean and canola have any influence on the annual agricultural production of these plants in AP Vojvodina.
Živkov Dejan +2 more
doaj +3 more sources
Disease Mapping via Negative Binomial Regression M-quantiles [PDF]
We introduce a semi-parametric approach to ecological regression for disease mapping, based on modelling the regression M-quantiles of a Negative Binomial variable. The proposed method is robust to outliers in the model covariates, including those due to
Chambers, Ray +2 more
core +1 more source
Bayesian regularized quantile regression
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Qing, Xi, Ruibin, Lin, Nan
openaire +3 more sources
Bayesian analysis for quantile smoothing spline
In Bayesian quantile smoothing spline [Thompson, P., Cai, Y., Moyeed, R., Reeve, D., & Stander, J. (2010). Bayesian nonparametric quantile regression using splines.
Zhongheng Cai, Dongchu Sun
doaj +1 more source
Penalized single-index quantile regression [PDF]
This article is made available through the Brunel Open Access Publishing Fund. Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
Yu, K
core +1 more source

