There is hardly any literature on modelling nonlinear dynamic relations involving nonnormal time series data. This is a serious lacuna because nonnormal data are far more abundant than normal ones, ...

This paper presents an EM algorithm for semiparametric likelihood analysis of linear, generalized linear, and nonlinear regression models with measurement errors in explanatory variables. A structural ...

A statistical method that uses individual-level data to estimate the contribution of genes to complex traits is better at identifying shared genetic underpinnings between traits or diseases than an ...