Results 31 to 40 of about 424,647 (298)
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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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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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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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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Bias of LS estimators in nonlinear regression models with constraints. Part I: General Case [PDF]
Applications of Mathematics, 1999 An asymptotic approximation of the bias of least squares estimators in nonlinear regression models with parameters which are subject to nonlinear equality constraints is derived. The normality of the observation vector is assumed, however under some conditions the results are valid for non-normal distribution as well.
Pázman, A., Denis, J.B.
openaire +3 more sources
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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Bartlett and Bartlett-type corrections in heteroscedastic symmetric nonlinear regression models [PDF]
Anais da Academia Brasileira de Ciências, 2022 This paper provides general expressions for Bartlett and Bartlett-type correction factors for the likelihood ratio and gradient statistics to test the dispersion parameter vector in heteroscedastic symmetric nonlinear models.
MARIANA C. ARAÚJO +2 more
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High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance [PDF]
, 2009 Data structures in modern applications frequently combine the necessity of flexible regression techniques such as nonlinear and spatial effects with high-dimensional covariate vectors. While estimation of the former is typically achieved by supplementing
Fahrmeir, Ludwig +2 more
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An R library for nonlinear black-box system identification
SoftwareX, 2020 The Nonlinear AutoRegressive with eXogenous inputs (NARMAX) models are among the most general classes of mathematical abstractions for dynamic systems and has many successful applications os data-driven modeling in different fields.
Helon Vicente Hultmann Ayala +2 more
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