Results 31 to 40 of about 315,437 (261)
Additive and non-additive genetic effects of humoral immune traits in Japanese quail
Journal of Applied Poultry Research, 2022 SUMMARY: In breeding programs, using appropriate models to estimate the variance components with high accuracy is essential. Considering the non-additive genetic effects along with additive effects in evaluation analysis models can be effective in ...
H. Faraji-Arough +3 more
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Determinants of Nutrient Demand: A Nonparametric Analysis
Journal of Agricultural and Resource Economics, 1995 The influence of socioeconomic variables on nutrient intake is studied using nonparametric procedures that admit estimation of multivariate functions. The analysis indicates a nonlinear relation between intake, age, education, and income.
Cyrus A. Ramezani
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Вестник Самарского университета: Естественнонаучная серия, 2023 For modeling in time series, models with fractional differences are widely used. The best known model is the ARFIMA (autoregressive fractionally integrated moving average) model.
Dmitriy V. Ivanov
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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
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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
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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
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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
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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
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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
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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
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