Results 141 to 150 of about 19,219 (292)

Semiparametric modeling for the cardiometabolic risk index and individual risk factors in the older adult population: A novel proposal.

open access: yesPLoS ONE
The accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk ...
Philippe Tagder   +7 more
doaj   +1 more source

A Semiparametric Estimator for Dynamic Optimization Models [PDF]

open access: yes
We develop a new estimation methodology for dynamic optimization models with unobserved state variables Our approach is semiparametric in the sense of not requiring explicit parametric assumptions to be made concerning the distribution of these ...
Han Hong, Matthew Shum
core  

Bayesian Semiparametric Inference in Multiple Equation Models [PDF]

open access: yes
This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components.
Gary Koop, Dale Poirier, Justin Tobias
core  

Semiparametric Bayesian inference for optimal dynamic treatment regimes via dynamic marginal structural models [PDF]

open access: bronze, 2022
Daniel Rodriguez Duque   +3 more
openalex   +1 more source

"Characterization of the Asymptotic Distribution of Semiparametric M-Estimators" [PDF]

open access: yes
This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification.
Sokbae Lee, Hidehiko Ichimura
core   +2 more sources

Semiparametric Regression Analysis under Imputation for Missing Response Data [PDF]

open access: yes
We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted estimator are defined.
Qihua Wang   +2 more
core  

On pseudolikelihood inference for semiparametric models with boundary problems. [PDF]

open access: yesBiometrika, 2017
Chen Y   +4 more
europepmc   +1 more source

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