Results 21 to 30 of about 25,321,415 (248)
Semiparametric Additive Beta Regression Models
Revstat Statistical Journal, 2021 In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
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Fitting additive Poisson models [PDF]
Epidemiologic Perspectives & Innovations, 2010 AbstractThis paper describes how to fit an additive Poisson model using standard software. It is illustrated with SAS code, but can be similarly used for other software packages.
Boshuizen, H.C., Feskens, E.J.M.
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Reluctant Generalised Additive Modelling
International Statistical Review, 2020 SummarySparse generalised additive models (GAMs) are an extension of sparse generalised linear models that allow a model's prediction to vary non‐linearly with an input variable. This enables the data analyst build more accurate models, especially when the linearity assumption is known to be a poor approximation of reality.
J. Kenneth Tay, Robert Tibshirani
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Negative Binomial Additive Models [PDF]
Biometrics, 2000 Summary.The generalized additive model is extended to handle negative binomial responses. The extension is complicated by the fact that the negative binomial distribution has two parameters and is not in the exponential family. The methodology is applied to data involving DNA adduct counts and smoking variables among ex‐smokers with lung cancer. A more
Thurston, Sally W. +2 more
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Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital [PDF]
Comput. Methods Programs Biomed., 2021 BACKGROUND AND OBJECTIVE When using machine learning techniques in decision-making processes, the interpretability of the models is important. In the present paper, we adopted the Shapley additive explanation (SHAP), which is based on fair profit ...
Yasunobu Nohara +3 more
semanticscholar +1 more source
Spanish Journal of Agricultural Research, 2016 Virgin olive oil is a key ingredient of the renowned Mediterranean diet. In this context, the main objective of this study was to estimate and decompose productivity change for Protected Designations of Origin (PDOs) in the Spanish virgin olive oil ...
Juan Aparicio +3 more
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Annual Review of Statistics and Its Application, 2006 Generalized additive models are generalized linear models in which the linear predictor includes a sum of smooth functions of covariates, where the shape of the functions is to be estimated. They have also been generalized beyond the original generalized
Simon N. Wood
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Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence [PDF]
, 2006 Structured additive regression comprises many semiparametric regression models such as generalized additive (mixed) models, geoadditive models, and hazard regression models within a unified framework.
Kneib, Thomas, Fahrmeir, Ludwig
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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017 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
Journal of Statistical Software, 2016 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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