JSTOR Daily

Bayesian Model Selection in Complex Linear Systems, as Illustrated in Genetic Association Studies

This is a preview. Log in through your library . Abstract Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model ...
JSTOR Daily

Bayesian Variable Selection for High Dimensional Generalized Linear Models: Convergence Rates of the Fitted Densities

Bayesian variable selection has gained much empirical success recently in a variety of applications when the number K of explanatory variables $(x_{1},\ldots ,x_{K})$ is possibly much larger than the ...
Scientific Research Publishing

Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation (2) ()

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
Business Wire

'Linear Models in Statistics 2nd Edition' is the Essential Introduction to the Theory and Application of Linear Models

DUBLIN, Ireland--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/reports/c81986) has announced the addition of “Linear Models in Statistics ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...