Results 81 to 90 of about 15,261 (244)

Semiparametric penalty function method in partially linear model selection [PDF]

open access: yes
Model selection in nonparametric and semiparametric regression is of both theoretical and practical interest. Gao and Tong (2004) proposed a semiparametric leave–more–out cross–validation selection procedure for the choice of both the parametric and ...
Gao, Jiti, Dong, Chaohua, Tong, Howell
core   +1 more source

Semiparametric Estimation of Single-Index Transition Intensities [PDF]

open access: yes
This research develops semiparametric kernel-based estimators of state-specific conditional transition intensities, h(y|x), for duration models with right-censoring and/or multiple destinations (competing risks).
Tue Gorgens
core   +3 more sources

Testing Distributional Granger Causality With Entropic Optimal Transport

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley   +1 more source

Detection of Influential Observations in Semiparametric Regression Model

open access: yesRevista Colombiana de Estadística, 2013
In this article, we consider the semiparametric regression model and examine influential observations which have undue effects on the estimators for this model.
SEMRA TÜRKAN, ÖNIZ TOKTAMIS
doaj  

A semiparametric changepoint model [PDF]

open access: yesBiometrika, 2004
Summary: A semiparametric changepoint model is considered and the empirical likelihood method is applied to detect the change from a distribution to a weighted distribution in a sequence of independent random variables. The maximum likelihood changepoint estimator is shown to be consistent.
openaire   +2 more sources

Associations of Adiposity With Gut Microbiota Composition Among Adults—Results From a Federated Analysis of Individual Participant Data From Eight European Observational Studies

open access: yesObesity Reviews, EarlyView.
ABSTRACT Gut microbiota may contribute to the adiposity‐associated disease risk, but human studies reported inconsistent associations of adiposity with gut microbiota composition. We examined associations of body mass index (BMI) with alpha diversity and relative microbial abundance at the phylum and genus taxonomic levels (based on 16S rRNA amplicon ...
Carolina Schwedhelm   +27 more
wiley   +1 more source

On a semiparametric survival model with flexible covariate effect. [PDF]

open access: yes
A semiparametric hazard model with parametrized time but general covariate dependency is formulated and analyzed inside the framework of counting process theory. A profile likelihood principle is introduced for estimation of the parameters: the resulting
Nielsen, Jens P.   +2 more
core   +1 more source

Semiparametric Optimal Estimation With Nonignorable Nonresponse Data [PDF]

open access: yes, 2020
When the response mechanism is believed to be not missing at random (NMAR), a valid analysis requires stronger assumptions on the response mechanism than standard statistical methods would otherwise require.
Kim, Jae Kwang, Morikawa, Kosuke
core   +1 more source

Life Course Trajectories of Body Mass Index and Risk of Cancer in Adulthood: Systematic Review and Meta‐Analysis

open access: yesObesity Reviews, EarlyView.
ABSTRACT Objective This systematic review and meta‐analysis aimed to identify common life‐course body mass index (BMI) trajectories (childhood/adulthood to adulthood) and their impact on risk of cancer overall and cancer at different sites in adulthood. Methods Observational studies were identified that assessed the association of BMI trajectories with
Samira Behboudi‐Gandevani   +6 more
wiley   +1 more source

Semiparametric Trending Panel Data Models with Cross-Sectional Dependence [PDF]

open access: yes
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals.
Jia Chen, Jiti Gao, Degui Li
core  

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