Results 51 to 60 of about 5,704 (194)
E-Jurnal Matematika, 2015 Semiparametric regression model approach is a model approach that combines parametric regression models and nonparametric regression. On semiparametric regression, most explanatory variables are parametric and nonparametric others are.
ANNA FITRIANI +2 more
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Quantifying the effects of passenger-level heterogeneity on transit journey times
Data-Centric Engineering, 2020 In this paper, we apply flexible data-driven analysis methods on large-scale mass transit data to identify areas for improvement in the engineering and operation of urban rail systems.
Ramandeep Singh +2 more
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Semiparametric regression during 2003–2007
Electronic Journal of Statistics, 2009 Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology - thus allowing more streamlined handling of longitudinal and spatial correlation. We review progress in the field over the five-year period between 2003 and 2007.
Ruppert, D., Wand, M. P., Carroll, R. J.
openaire +4 more sources
The Political U: New Evidence on the Economic Costs of Hybrid Regimes
Economics &Politics, EarlyView.ABSTRACT Recent research establishes a positive causal effect from democracy to income, although this evidence relies mostly on binary regime classifications. We extend the identification framework of Acemoglu et al. (2019) to a classification that distinguishes democracies, autocracies, and hybrid regimes for about 170 countries over 1960–2024.
Nauro F. Campos +2 more
wiley +1 more source
A Comparative Review of Specification Tests for Diffusion Models
International Statistical Review, EarlyView.Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source
Non-Standard Semiparametric Regression via BRugs
Journal of Statistical Software, 2010 We provide several illustrations of Bayesian semiparametric regression analyses in the BRugs package. BRugs facilitates use of the BUGS inference engine from the R computing environment and allows analyses to be managed using scripts.
Jennifer K. Marley, Matthew P. Wand
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Cauchy: Jurnal Matematika Murni dan AplikasiRice pest control is a critical challenge in the agricultural sector that requires a deep understanding of rice pest management. Regression analysis is a statistical method capable of describing and predicting cause-and-effect relationships between ...
Laila Nur Azizah +2 more
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Semiparametric Regression Using Variational Approximations [PDF]
Journal of the American Statistical Association, 2019 35 pages, 3 figures, 2 tables, To appear in Journal of the American Statistical Association: Theory and ...
Hui, Francis +3 more
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Demand Shocks, Export Diversification, and Firm Performance During the Great Trade Collapse
Journal of Economics &Management Strategy, EarlyView.ABSTRACT This paper analyzes the impact of external demand shocks from the 2008 to 2009 Great Trade Collapse on the performance of Chinese exporters and examines how export diversification mitigates these effects. Using Chinese Customs data merged with financial data from all listed Chinese firms, we construct firm‐specific demand shocks based on pre ...
Qianlin Hong +3 more
wiley +1 more source
Modified Ridge Regression With Cook’s Distance for Semiparametric Regression Models
Journal of MathematicsMulticollinearity and influential cases in semiparametric regression models lead to biased and unreliable estimates distorting leverage and residual patterns.
Najeeb Mahmood Khan +3 more
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