Results 51 to 60 of about 25,321,415 (248)
Analyzing the Relationship Between Meteorological Elements and Criteria Atmospheric Pollutants in Tabriz Using Statistical Modeling [PDF]
علوم محیطیIntroduction: The rapid increase in population, growth of urbanization and industrialization in recent years, which is generally associated with an increase in demand and energy consumption, and as a result, an increase in pollutant emission sources, has
Parisa Kahrari +3 more
doaj +1 more source
Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers. [PDF]
PLoS ONE, 2012 Non-additive genetic variation is usually ignored when genome-wide markers are used to study the genetic architecture and genomic prediction of complex traits in human, wild life, model organisms or farm animals. However, non-additive genetic effects may
Guosheng Su +4 more
doaj +1 more source
Projective cluster-additive transformation for quantum lattice models
SciPost Physics, 2023 We construct a projection-based cluster-additive transformation that block-diagonalizes wide classes of lattice Hamiltonians $\mathcal{H}=\mathcal{H}_0 +V$.
Max Hörmann, Kai P. Schmidt
doaj +1 more source
BMC Genomic Data, 2023 Background Non-additive genetic effects are often ignored in livestock genetic evaluations. However, fitting them in the models could improve the accuracy of genomic breeding values.
Letícia Fernanda de Oliveira +7 more
doaj +1 more source
Journal of Computational and Graphical Statistics, 2021 We propose the Additive Functional Cox Model to flexibly quantify the association between functional covariates and time to event data. The model extends the linear functional proportional hazards model by allowing the association between the functional covariate and log hazard to vary non-linearly in both the functional domain and the value of the ...
Erjia Cui +2 more
openaire +3 more sources
Additive models with trend filtering [PDF]
Annals of Statistics, 2017 We study additive models built with trend filtering, i.e., additive models whose components are each regularized by the (discrete) total variation of their $k$th (discrete) derivative, for a chosen integer $k \geq 0$.
Veeranjaneyulu Sadhanala, R. Tibshirani
semanticscholar +1 more source
Data‐adaptive additive modeling
Statistics in Medicine, 2018 In this paper, we consider fitting a flexible and interpretable additive regression model in a data‐rich setting. We wish to avoid pre‐specifying the functional form of the conditional association between each covariate and the response, while still retaining interpretability of the fitted functions.
Ashley Petersen, Daniela Witten
openaire +4 more sources
Functional Generalized Additive Models [PDF]
Journal of Computational and Graphical Statistics, 2014 We introduce the functional generalized additive model (FGAM), a novel regression model for association studies between a scalar response and a functional predictor. We model the link-transformed mean response as the integral with respect to t of F{X(t), t} where F(·,·) is an unknown regression function and X(t) is a functional covariate.
Mathew W, McLean +4 more
openaire +2 more sources
Generalized Additive Models: An Introduction with R (2nd Edition)
, 2018 Generalized additive models (GAMs) are one of the main modeling tools for data analysis. GAMs can efficiently combine different types of fixed, random and smooth terms in the linear predictor of a regression model to account for different types of ...
V. Gómez‐Rubio
semanticscholar +1 more source
Generalized Additive Models with Unknown Link Function Including Variable Selection [PDF]
, 2013 The generalized additive model is a well established and strong tool that allows to model smooth effects of predictors on the response. However, if the link function, which is typically chosen as the canonical link, is misspecified, substantial bias is ...
Gerhard Tutz +3 more
core +1 more source