What are state-space models?

May 15, 2006 ... A colleague asked me about some results with logistic regression. He had two predictors of a binary outcome, call them A and B. When used ... Jun 30, 2016 ... We defined new equations for the prediction of debris-flow likelihood using logistic regression methods. We showed that the new logistic regression model ... Jun 26, 2019 ... We conclude that data from patient timelines improve 30 day readmission prediction, that a logistic regression with LASSO has equal performance ... Logistic regression · Author · Affiliation. 1 Department of Biostatistics, Boston University School of Public Health, 715 Albany St, Crosstown Center Room 322, ... mllib . Examples. The following example shows how to train binomial and multinomial logistic regression models for binary classification with elastic net ... Feb 16, 2007 ... Abstract. The article argues against the popular belief that linear regression should not be used when the dependent variable is a dichotomy. Nov 2, 2022 ... We proposed a method for estimating the contribution of each amino acid residue to substrate specificity by deploying a phylogenetic analysis with logistic ... Abstract. Motivation: In ordinary regression, imposition of a lasso penalty makes continuous model selection straightforward. Lasso penalized regression is. Logistic regression analysis is used to examine the association of (categorical or continuous) independent variable(s) with one dichotomous dependent variable. The NC TraCS Biostatistics Seminar Series is appropriate for those with a basic familiarity with statistics. These seminars introduce topics not often ...