Contact
Hoe winkelen bij ons werkt
Bezorging
Winkelgids
Parameter Cascading Method for Functional Data Analysis
Adaptive Penalized Smoothing, Estimating Semiparametric Additive Models and Inferring Differential Equation Models
Engels
151 b
Tot 30 dagen retourrecht
Klanten kochten ook
/
Leporello (harmonicaboek)
8.59
€
Many statistical models involve three distinct groups of variables: local or nuisance parameters, global or structural parameters, and complexity parameters. In this book, we introduce the parameter cascading method to estimate these statistical models, which treats one group of parameters as an explicit or implicit function of other parameters. The dimensionality of the parameter space is reduced, and the optimization surface becomes smoother. The Newton-Raphson algorithm is applied to estimate these three distinct groups of parameters in three levels of optimization, with the gradients and Hessian matrices written out analytically by the Implicit Function Theorem if necessary and allowing for different criteria for each level of optimization. Moreover, variances of global parameters are estimated by the Delta method and include the variation coming from complexity parameters. We also propose three applications of the parameter cascading method in functional data analysis, include adaptive penalized smoothing, estimating the generalized semiparametric additive models and inferring parameters in differential equations.
Informatie over het boek
Engels
Geef dit boek vandaag nog cadeau
Dat gaat heel eenvoudig
1 Voeg het boek toe aan je winkelwagentje en selecteer Als cadeau bezorgen 2 Je krijgt van ons per omgaand een voucher 3 Het boek wordt bezorgd op het adres van de ontvangerDit vind je misschien ook interessant
/
Gebonden (harde band)
565.16
€
/
Gebonden (paperback)
31.65
€
/
Gebonden (paperback)
23.76
€
Hoi! Ik ben Libroamiko, je boekadviseur.
Hoe kan ik je helpen?