Results 71 to 80 of about 44,356 (305)
Business Strategy and the Environment, EarlyView.ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source
A partially collapsed Gibbs sampler for Bayesian quantile regression [PDF]
, 2009 We introduce a set of new Gibbs sampler for Bayesian analysis of quantile re-gression model. The new algorithm, which partially collapsing an ordinary Gibbs sampler, is called Partially Collapsed Gibbs (PCG) sampler.
Reed, C, Yu, K
core
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Chemistry – A European Journal, EarlyView.ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain +3 more
wiley +1 more source
Use of regularized quantile regression to predict the genetic merit of pigs for asymmetric carcass traits [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to evaluate the use of regularized quantile regression (RQR) to predict the genetic merit of pigs for asymmetric carcass traits, compared with the Bayesian lasso (Blasso) method.
Patricia Mendes dos Santos +7 more
doaj +1 more source
Function-on-function linear quantile regression
Mathematical Modelling and Analysis, 2022 In this study, we propose a function-on-function linear quantile regression model that allows for more than one functional predictor to establish a more flexible and robust approach. The proposed model is first transformed into a finitedimensional space
Ufuk Beyaztas, Han Lin Shang
doaj +1 more source
BeQut: Bayesian Estimation for Quantile Regression Mixed Models [PDF]
, 2023 Antoine Barbieri +1 more
openalex +1 more source
, 2015 A sandwich likelihood correction is proposed to remedy an inferential limitation of the Bayesian quantile regression approach based on the misspecified asymmetric Laplace density, by leveraging the benefits of the approach. Supporting theoretical results
Sriram, Karthik
core +1 more source
Quantile regression for mixed models with an application to examine blood pressure trends in China [PDF]
, 2015 Cardiometabolic diseases have substantially increased in China in the past 20 years and blood pressure is a primary modifiable risk factor. Using data from the China Health and Nutrition Survey, we examine blood pressure trends in China from 1991 to 2009,
Fuentes, Montserrat +3 more
core +3 more sources
Bayesian Tail Risk Interdependence Using Quantile Regression
Bayesian Analysis, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BERNARDI, MAURO +2 more
openaire +4 more sources
Gibbs sampling methods for Bayesian quantile regression [PDF]
Journal of Statistical Computation and Simulation, 2011 This paper considers quantile regression models using an asymmetric Laplace distribution from a Bayesian point of view. We develop a simple and efficient Gibbs sampling algorithm for fitting the quantile regression model based on a location-scale mixture representation of the asymmetric Laplace distribution. It is shown that the resulting Gibbs sampler
Hideo Kozumi, Genya Kobayashi
openaire +2 more sources