Results 51 to 60 of about 1,319,586 (359)
Minimization of Akaike's information criterion in linear regression analysis via mixed integer nonlinear program [PDF]
Optim. Methods Softw., 2016 Akaike's information criterion (AIC) is a measure of evaluating statistical models for a given data set. We can determine the best statistical model for a particular data set by finding the model with the smallest AIC value. Since there are exponentially
K. Kimura, Hayato Waki
semanticscholar +1 more source
Reducing Selection Bias in Analyzing Longitudinal Health Data with High Mortality Rates [PDF]
, 2010 Two longitudinal regression models, one parametric and one nonparametric, are developed to reduce selection bias when analyzing longitudinal health data with high mortality rates.
Engel, Charles C. +3 more
core +2 more sources
Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models
MathematicsThis paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model.
Weixian Wang, Maozai Tian
doaj +1 more source
A mixed-effects model for growth curves analysis in a two-way crossed classification layout
Revista de Matemática: Teoría y Aplicaciones, 2009 We propose a mixed-effects linear model for analyzing growth curves data obtained using a two-way classification experiment. The model combines an unconstrained means model and a regression model on the time, in which the coefficients are considered ...
Mario Miguel Ojeda, Hardeo Sahai
doaj +1 more source
A comparison of multiple imputation methods for missing data in longitudinal studies
BMC Medical Research Methodology, 2018 Background Multiple imputation (MI) is now widely used to handle missing data in longitudinal studies. Several MI techniques have been proposed to impute incomplete longitudinal covariates, including standard fully conditional specification (FCS-Standard)
Md Hamidul Huque +3 more
doaj +1 more source
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models [PDF]
2019 IEEE 58th Conference on Decision and Control (CDC), 2019 We consider {\em Mixed Linear Regression (MLR)}, where training data have been generated from a mixture of distinct linear models (or clusters) and we seek to identify the corresponding coefficient vectors. We introduce a {\em Mixed Integer Programming (MIP)} formulation for MLR subject to regularization constraints on the coefficient vectors.
Wang, Taiyao, Paschalidis, Ioannis Ch.
openaire +2 more sources
, 2017 Crown profile is mostly related to the competition of individual trees in the stands, light interception, growth, and yield of trees. A total of 76 sample trees with a total number of 889 whorls and 3658 live branches were used to develop the outer crown
Yun-xia Sun, Hui-lin Gao, Fengri Li
semanticscholar +1 more source
Sparse Probit Linear Mixed Model
, 2017 Linear Mixed Models (LMMs) are important tools in statistical genetics. When used for feature selection, they allow to find a sparse set of genetic traits that best predict a continuous phenotype of interest, while simultaneously correcting for various ...
Cunningham, John P. +5 more
core +1 more source
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
FEBS Letters, EarlyView.The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
Imputation by PLS regression for linear mixed models [PDF]
, 2011 The problem of handling missing data for a linear mixed model in presence of correlation between covariates is considered. The missing mechanism concerns both dependent variable and design matrix.
Guyon, Emilie, Pommeret, Denys
core +1 more source