Parametric regression imputation is efficient but is not robust against misspecification of the regression model. Although nonparametric regression imputation (such as nearest-neighbor imputation and ...

We develop a new multiple imputation approach for M-regression models with censored covariates. Instead of specifying parametric likelihoods, our method imputes the censored covariates by their ...

Large-scale epigenomic profiles are predicted from experimental data using multiple regression tree models. With hundreds of epigenomic maps, the opportunity arises to exploit the correlated ...

Using Kalman equations, we derive straightforward formulas for the total imputation variance for several imputation methods commonly used in regression analysis and (un)equal probability sampling ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...