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Pseudo-observation regression for sequentially truncated data. [PDF]
BiometricsQian J +3 more
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Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation. [PDF]
J Appl StatRoozbeh M.
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, 2001 Much empirical research is concerned with estimating conditional mean, median, or hazard functions. For example, labor economists are interested in estimating the mean wages of employed individuals conditional on characteristics such as years of work experience and education.
Joseph G. Ibrahim +2 more
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A Semiparametric Model for Recapture Experiments
Scandinavian Journal of Statistics, 2003Abstract.A two‐step procedure based on the conditional likelihood is proposed to estimate the population size of a closed population using a semiparametric model for recapture studies. An asymptotic variance estimate and numerical results are presented. The method is applied to a bird banding dataset in Hong Kong.
Wang, Y, Yip, PSF
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On semiparametric familial–longitudinal models
Statistics & Probability Letters, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sneddon, Gary, Sutradhar, Brajendra C.
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Semiparametric regression model selections
Journal of Statistical Planning and Inference, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shi, Peide, Tsai, Chih-Ling
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Semiparametric transition rate models
2019The most widely applied semiparametric model is the proportional hazards model proposed by D. R. Cox, or, as stated in the literature, the Cox model. The Cox model has been used widely, although the proportionality assumption restricts its range of possible empirical applications. This chapter explains the partial likelihood estimation of the model. It
Hans-Peter Blossfeld +3 more
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Bayesian Semiparametric Proportional Odds Models
Biometrics, 2007SummaryMethodology for implementing the proportional odds regression model for survival data assuming a mixture of finite Polya trees (MPT) prior on baseline survival is presented. Extensions to frailties and generalized odds rates are discussed. Although all manner of censoring and truncation can be accommodated, we discuss model implementation ...
Hanson, Timothy, Yang, Mingan
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Journal of Business & Economic Statistics, 1991
Abstract This article introduces a semiparametric autoregressive conditional hetero scedasticity (ARCH) model that has conditional first and second moments given by autoregressive moving average and ARCH parametric formulations but a conditional density that is assumed only to be sufficiently smooth to be approximated by a ...
Robert F Engle, Gloria Gonzalez-Rivera
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Abstract This article introduces a semiparametric autoregressive conditional hetero scedasticity (ARCH) model that has conditional first and second moments given by autoregressive moving average and ARCH parametric formulations but a conditional density that is assumed only to be sufficiently smooth to be approximated by a ...
Robert F Engle, Gloria Gonzalez-Rivera
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Fitting semiparametric cure models
Computational Statistics & Data Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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