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CSDA
2006
66views more  CSDA 2006»
13 years 9 months ago
A dynamic model of expected bond returns: A functional gradient descent approach
We propose a multivariate methodology based on Functional Gradient Descent to estimate and forecast time-varying expected bond returns. Backtesting our procedure on US monthly dat...
Francesco Audrino, Giovanni Barone-Adesi
CSDA
2006
60views more  CSDA 2006»
13 years 9 months ago
Numerical integration in logistic-normal models
Marginal maximum likelihood estimation is commonly used to estimate logistic-normal models. In this approach, the contribution of random effects to the likelihood is represented a...
Jorge González, Francis Tuerlinckx, Paul De...
CSDA
2006
81views more  CSDA 2006»
13 years 9 months ago
A recursive approach to detect multivariable conditional variance components and conditional random effects
A complex trait like crop yield is determined by its component traits. Multivariable conditional analysis in a general mixed linear model is helpful in dissecting the gene express...
Jixiang Wu, Dongfeng Wu, Johnie N. Jenkins Jr., Ja...
CSDA
2007
82views more  CSDA 2007»
13 years 9 months ago
Non-parametric log-concave mixtures
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...
Paul H. C. Eilers, M. W. Borgdorff
CSDA
2006
145views more  CSDA 2006»
13 years 9 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin