Results 211 to 220 of about 15,261 (244)

Fitting semiparametric cure models

Computational Statistics & Data Analysis, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Approximate Standard Errors in Semiparametric Models

Biometrics, 1999
Summary.SUMMARY. We consider semiparametric models with p regressor terms and q smooth terms. We obtain an explicit expression for the estimate of the regression coefficients given by the back‐fitting algorithm. The calculation of the standard errors of these estimates based on this expression is a considerable computational exercise.
Durban, Maria, Hackett, Christine A., Currie, Iain D.   +2 more
openaire   +3 more sources

Checking a Semiparametric Additive Risk Model

Lifetime Data Analysis, 2005
McKeague and Sasieni [A partly parametric additive risk model. Biometrika 81 (1994) 501] propose a restriction of Aalen's additive risk model by the additional hypothesis that some of the covariates have time-independent influence on the intensity of the observed counting process.
Gandy, Axel, Jensen, Uwe
openaire   +2 more sources

Semiparametric ARCH Models

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
openaire   +1 more source

Dynamic and semiparametric models

1997
This paper surveys dynamic or state space models and their relationship to non- and semiparametric models that are based on the roughness penalty approach. We focus on recent advances in dynamic modelling of non-Gaussian, in particular discrete-valued, time series and longitudinal data, make the close correspondence to semiparametric smoothing methods ...
Fahrmeir, Ludwig, Knorr-Held, Leonhard
openaire   +1 more source

Nonparametric and Semiparametric Models

Technometrics, 2005
openaire   +1 more source

A special semiparametric model

1990
In this section we study models of the type described in Section 4 under the following additional assumption: There exists a function S: X × Θ → (Y, B) such that, for every ϑ ∈ Θ, the function S(⋅, ϑ) is sufficient for the family {Pϑ,τ: τ ∈ T}.
openaire   +1 more source

An em algorithm for a semiparametric finite mixture model

Journal of Statistical Computation and Simulation, 2002
Biao Zhang
exaly  

Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis

Journal of the American Statistical Association, 1991
Bruce G Lindsay, Clifford C Clogg, John Grego   +2 more
exaly  

A semiparametric linear transformation model to estimate causal effects for survival data

Canadian Journal of Statistics, 2014
Huazhen Lin, Liang Jiang, Gang Li
exaly