Nature

Bayesian Quantile Regression and Statistical Modelling

Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...
JSTOR Daily

Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 49, No. 3 (September/septembre 2021), pp. 698-730 (33 pages) We propose a flexible Bayesian semiparametric quantile ...
JSTOR Daily

Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data

We study quantile regression (QR) for longitudinal measurements with nonignorable intermittent missing data and dropout. Compared to conventional mean regression, quantile regression can characterize ...
Insurancenewsnet.com

Findings in the Area of Risk Management Reported from National Institute for Occupational Safety and Health (Bayesian Quantile Impairment Threshold…

Our news editors obtained a quote from the research from National Institute for Occupational Safety and Health, "This method of calculating the benchmark dose does not take into account the response ...
Nature

Fuzzy Regression Models and Analysis

Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...