Results 81 to 90 of about 25,321,415 (248)
Generalized nonlinearity in animal ecology: Research, review, and recommendations
Ecology and EvolutionGeneralized linear models (GLMs) are an integral tool in ecology. Like general linear models, GLMs assume linearity, which entails a linear relationship between independent and dependent variables. However, because this assumption acts on the link rather
David R. Heit +4 more
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Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data
, 2017 We develop scalable methods for fitting penalized regression spline based generalized additive models with of the order of 104 coefficients to up to 108 data.
S. Wood +3 more
semanticscholar +1 more source
Model selection in generalised structured additive regression models [PDF]
, 2007 In recent years data sets have become increasingly more complex requiring more flexible instruments for their analysis. Such a flexible instrument is regression analysis based on a structured additive predictor which allows an appropriate modelling for ...
Belitz, Christiane
core
Robust estimation of mean and dispersion functions in extended generalized additive models. [PDF]
Generalized Linear Models are a widely used method to obtain parametric estimates for the mean function. They have been further extended to allow the relationship between the mean function and the covariates to be more flexible via Generalized Additive ...
Croux, Christophe +2 more
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Animal models with group-specific additive genetic variances: extending genetic group models
Genetics Selection Evolution, 2019 Background The animal model is a key tool in quantitative genetics and has been used extensively to estimate fundamental parameters, such as additive genetic variance or heritability.
Stefanie Muff +4 more
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Annals of Forest Science, 2023 Key message The non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were applied for the first time in crown width (CW) additive models of larch (Larix gmelinii Rupr.), birch (Betula platyphylla ...
Junjie Wang +5 more
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Axiomatic Interpretability for Multiclass Additive Models
Knowledge Discovery and Data Mining, 2018 Generalized additive models (GAMs) are favored in many regression and binary classification problems because they are able to fit complex, nonlinear functions while still remaining interpretable.
Xuezhou Zhang +5 more
semanticscholar +1 more source
Causal additive models with smooth backfitting
Journal of Causal InferenceA fully nonparametric approach to learning causal structures from observational data is proposed. The method is described in the setting of additive structural equation models with a link to causal inference.
Morville Asger B., Park Byeong U.
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RisksThis paper introduces an HJM-style forward modeling framework for valuing American options. Instead of modeling the dynamics of the underlying asset, we model the maturity-indexed forward drift of the gain process, leading to two no-arbitrage ...
Kushantha Fernando, Vajira Manathunga
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Structured additive regression for multicategorical space-time data: A mixed model approach [PDF]
, 2004 In many practical situations, simple regression models suffer from the fact that the dependence of responses on covariates can not be sufficiently described by a purely parametric predictor.
Kneib, Thomas, Fahrmeir, Ludwig
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