The perfect regression and causality test: A solution to regression problems

Econometrics II Lecture 3: Regression and Causality

Bayesian logistic regression using a perfect phylogeny.

Haplotype data capture the genetic variation among individuals in a population and among populations. An understanding of this variation and the ancestral history of haplotypes is important in genetic association studies of complex disease. We introduce a method for detecting associations between disease and haplotypes in a candidate gene region or candidate block with little or no recombinatio...

Extension of Logic regression to Longitudinal data: Transition Logic Regression

Logic regression is a generalized regression and classification method that is able to make Boolean combinations as new predictive variables from the original binary variables. Logic regression was introduced for case control or cohort study with independent observations. Although in various studies, correlated observations occur due to different reasons, logic regression have not been studi...

Minimising the delta test for variable selection in regression problems

The problem of selecting an adequate set of variables from a given data set of a sampled function, becomes crucial by the time of designing the model that will approximate it. Several approaches have been presented in the literature although recent studies showed how the Delta Test is a powerful tool to determine if a subset of variables is correct. This paper presents new methodologies based o...

Saving, Investment, and Growth: A Causality Test

In the second half of the last century, tremendous efforts were devoted to identifying sources of economic success by a few countries and causes of failure by most. In this process a voluminous literature ranging from the neo-classical to Marxist, neo-Marxist, and dependency theories has been developed to answer the question of disparity among different countries of the north vis-à-vis those of...