Results 21 to 30 of about 423,513 (317)
Generalized Nonlinear Modeling With Multivariate Free-Knot Regression Splines
Journal of the American Statistical Association, 2003 A Bayesian method is presented for the nonparametric modeling of univariate and multivariate non-Gaussian response data. Data-adaptive multivariate regression splines are used where the number and location of the knot points are treated as random.
Holmes C.C., Mallick B.K.
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Journal of Innovative Transportation, 2023 Evaluating flexible pavement performance is mandatory for managing transport infrastructure. This study focuses on modeling the relationships between international roughness index (IRI) and a total of 10 types of pavement distress, including alligator ...
Fazlullah Himat, Ufuk Kırbaş
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Nonlinear Generalized Ridge Regression
, 2023 A Two-Stage approach is described that literally "straighten outs" any potentially nonlinear relationship between a y-outcome variable and each of p = 2 or more potential x-predictor variables. The y-outcome is then predicted from all p of these "linearized" spline-predictors using the form of Generalized Ridge Regression that is most likely to yield ...
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Convergence rates of posterior distributions for noniid observations [PDF]
, 2007 We consider the asymptotic behavior of posterior distributions and Bayes estimators based on observations which are required to be neither independent nor identically distributed.
Ghosal, Subhashis, van der Vaart, Aad
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Regression Cloud Models and Their Applications in Energy Consumption of Data Center
Journal of Electrical and Computer Engineering, 2015 As cloud data center consumes more and more energy, both researchers and engineers aim to minimize energy consumption while keeping its services available. A good energy model can reflect the relationships between running tasks and the energy consumed by
Yanshuang Zhou +3 more
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Modeling of Tunneling Total Loads Based on Symbolic Regression Algorithm
Applied Sciences, 2021 The tunneling total load is one of the core control parameters for safe and efficient construction using tunneling machines. However, because the tunneling process involves complex coupling relationships between the equipment and the local geology ...
Liting Zhang +3 more
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Investigating the Relationship between CEO Power and Capital Structure: Emphasizing the Role of Firms Size [PDF]
تحقیقات مالی, 2021 Objective: The main purpose of this study is to investigate the relationship between CEO power and capital structure decisions with an emphasis on the moderating role of firms size in listed companies in Tehran Stock Exchange.
Shokrollah Khajavi +2 more
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Bayesian Geoadditive Seemingly Unrelated Regression [PDF]
, 2002 Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may result in inefficient estimates of covariate effects. A
Adebayo, Samson B. +3 more
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On concurvity in nonlinear and nonparametric regression models
Statistica, 2014 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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Advances in Civil Engineering, 2019 Existing component separation methods fail to consider the complex nonlinear relationship between dam effect quantities and environmental variables. In this study, a novel nonlinear component separation method for the effect quantities is proposed by ...
Wenzhong Yin +4 more
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