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Asymptotic Theory for Multiple-Sample Semiparametric Density Ratio Models and Its Application to Mortality Forecasting

Lu, Guanhua - 2007

A multiple-sample semiparametric density ratio model, which is equivalent to a generalized logistic regression model … nonparametric.The combined data from all the samples are used in the semiparametric large sample problem of estimating each … class of semiparametric models to time series. The method combines information from several time series and estimates their …

Persistent link: https://www.econbiz.de/10009450972

Topics in Application of Nonparametric Smoothing Splines

Lin, Jiang - 2005

There are two topics in this dissertation. The first topic is 'Smoothing Parameter Selection in Nonparametric Generalized Linear Models via Sixth-order Laplace Approximation' and the second topic is 'Smoothing Spline-based Score Tests for Proportional Hazards Models'.We present a new approach...

Persistent link: https://www.econbiz.de/10009431282

Partly parametric generalized additive model

Zhang, Tianyang - 2010

In many scientific studies, the response variable bears a generalized nonlinear regression relationship with a certain covariate of interest, which may, however, be confounded by other covariates with unknown functional form. We propose a new class of models, the partly parametric generalized...

Persistent link: https://www.econbiz.de/10009466085

Semiparametric regression analysis of zero-inflated data

Liu, Hai - 2009

Zero-inflated data abound in ecological studies as well as in other scientific and quantitative fields. Nonparametric regression with zero-inflated response may be studied via the zero-inflated generalized additive model (ZIGAM). ZIGAM assumes that the conditional distribution of the response...

Persistent link: https://www.econbiz.de/10009466022

Semiparametric Regression for Periodic Longitudinal Hormone Data from Multiple Menstrual Cycles

Zhang, Daowen; Lin, Xihong; Sowers, MaryFran R. - 2000

We consider Semiparametric regression for periodic longitudinal data. Parametric fixed effects are used to model the …

Persistent link: https://www.econbiz.de/10009477134

Estimation for Generalized Linear Models When Covariates Are Subject-specific Parameters in a Mixed Model for Longitudinal Measurements

Li, Erning - 2005

approach.In order to estimate the distribution of random effects and to improve efficiency, we further propose a semiparametric … inferences under departures from this assumption and are competitive when the assumption holds. The semiparametric full …

Persistent link: https://www.econbiz.de/10009431291

Quasi-Monte Carlo for Highly Structured Generalised Response Models

Sloan, I. H.; Kuo, F. Y.; Dunsmuir, W. T.; Wand, M.; … - 2007

Highly structured generalised response models, such as generalised linear mixed models and generalised linear models for time series regression, have become an indispensable vehicle for data analysis and inference in many areas of application. However, their use in practice is hindered by...

Persistent link: https://www.econbiz.de/10009457431

Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models

Wang, Naisyin (contributor) - 2007

semiparametric varying coefficient periodic model which is suitable to studyperiodic patterns. This model has ample applications in …

Persistent link: https://www.econbiz.de/10009464826

Rates of convergence for estimating regression coefficients in heteroskedastic discrete response models. (Author Abstract) Author Abstract

Chen, Songnian; Khan, Shakeeb - 2003

restriction, the semiparametric information bound is zero, even when the homoskedastic error term is parametrically specified …

Persistent link: https://www.econbiz.de/10009475499

Semiparametric Inference

He, Zhi - 2010

Semi-parametric and nonparametric modeling and inference have been widely studied duringthe last two decades. In this ….Firstly, we develop a semi-parametric additivity test for nonparametric multi-dimensionalmodel. The test statistic can test two or …

Persistent link: https://www.econbiz.de/10009477898