Results 61 to 70 of about 25,321,415 (248)
Additive Dose Response Models: Defining Synergy
Frontiers in Pharmacology, 2019 In synergy studies, one focuses on compound combinations that promise a synergistic or antagonistic effect. With the help of high-throughput techniques, a huge amount of compound combinations can be screened and filtered for suitable candidates for a ...
Simone Lederer +3 more
doaj +1 more source
Generalized structured additive regression based on Bayesian P-splines [PDF]
, 2003 Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Bayesian GAM's and extensions to generalized structured additive regression ...
Lang, S., Brezger, Andreas, Lang, Stefan
core +1 more source
Generalized additive models: Building evidence of air pollution, climate change and human health.
Environment International, 2019 Advances in statistical analysis in the last few decades in the area of linear models enhanced the capability of researchers to study environmental procedures.
K. Ravindra +3 more
semanticscholar +1 more source
Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]
, 2009 Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Kneib, Thomas +2 more
core +1 more source
Genomic Prediction of Additive and Non-additive Effects Using Genetic Markers and Pedigrees
G3: Genes, Genomes, Genetics, 2019 The genetic merit of individuals can be estimated using models with dense markers and pedigree information. Early genomic models accounted only for additive effects.
Janeo Eustáquio de Almeida Filho +6 more
doaj +1 more source
Meta-analysis of generalized additive models in neuroimaging studies
NeuroImage, 2021 Analyzing data from multiple neuroimaging studies has great potential in terms of increasing statistical power, enabling detection of effects of smaller magnitude than would be possible when analyzing each study separately and also allowing to ...
Øystein Sørensen +9 more
doaj +1 more source
Fused Lasso Additive Model [PDF]
Journal of Computational and Graphical Statistics, 2016 We consider the problem of predicting an outcome variable using p covariates that are measured on n independent observations, in a setting in which additive, flexible, and interpretable fits are desired. We propose the fused lasso additive model (FLAM), in which each additive function is estimated to be piecewise constant with a small number of ...
Petersen, Ashley +2 more
openaire +3 more sources
Boosting Techniques for Nonlinear Time Series Models [PDF]
, 2010 Many of the popular nonlinear time series models require a priori the choice of parametric functions which are assumed to be appropriate in specific applications.
Gerhard Tutz +5 more
core +1 more source
Relative stochastic comparisons of additive frailty models
Journal of Inequalities and Applications, 2016 This article is devoted to the proposal of two relative stochastic orders namely the relative hazard rate and relative mean residual life orders. These stochastic orders are applied to provide some stochastic comparisons between two additive frailty ...
Mohamed Kayid +2 more
doaj +1 more source
Increasing cassava root yield: Additive-dominant genetic models for selection of parents and clones
Frontiers in Plant Science, 2022 Genomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined with genetic models in clone and parent selection with
Luciano Rogério Braatz de Andrade +9 more
doaj +1 more source