Results 21 to 30 of about 315,437 (261)
Regression models used to explore the importance of several explanatory variables in estimation, classification and analytical tools play an efficient role for many data analysis.
Betül Kan Kılınç, Mustafa Çavuş
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gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework
Generalized additive models for location, scale and shape are a flexible class of regression models that allow to model multiple parameters of a distribution function, such as the mean and the standard deviation, simultaneously.
Benjamin Hofner +2 more
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Semiparametric Integrated and Additive Spatio-Temporal Single-Index Models
In this paper, we introduce two semiparametric single-index models for spatially and temporally correlated data. Our first model has spatially and temporally correlated random effects that are additive to the nonparametric function, which we refer to as ...
Hamdy F. F. Mahmoud, Inyoung Kim
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On concurvity in nonlinear and nonparametric regression models
When data are affected by multicollinearity in the linear regression framework, then concurvity will be present in fitting a generalized additive model (GAM). The term concurvity describes nonlinear dependencies among the predictor variables.
Sonia Amodio +2 more
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Network reconstruction using nonparametric additive ODE models. [PDF]
Network representations of biological systems are widespread and reconstructing unknown networks from data is a focal problem for computational biologists.
James Henderson, George Michailidis
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Inheritance of the birth weights in crosses between Istrian, Awassi, East-Friesian and Travnik Pramenka sheep in Croatia: a case study [PDF]
The purpose of the study was to estimate the influence of the additive and non-additive genetic effects on the birth weight, using two different crossbreed models. Data on 1176 birth weights were collected. The animals were crosses, with different ratios
Ivan Pocrnic, Alen Dzidic
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Analyzing the Relationship Between Meteorological Elements and Criteria Atmospheric Pollutants in Tabriz Using Statistical Modeling [PDF]
Introduction: 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
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Regularization Methods for Additive Models [PDF]
This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform variable selection. However, these procedures are inefficient or computationally expensive in high dimension.
Avalos, Marta +2 more
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BayesX: Analyzing Bayesian Structural Additive Regression Models
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Andreas Brezger +2 more
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