Results 101 to 110 of about 19,219 (292)
Semiparametric Estimation of Single-Index Transition Intensities [PDF]
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 +2 more sources
Energies, 2013 Battery model identification is very important for reliable battery management as well as for battery system design process. The common problem in identifying battery models is how to determine the most appropriate mathematical model structure and ...
Caiping Zhang, Jiuchun Jiang, Dazhong Mu
doaj +1 more source
Semiparametric Trending Panel Data Models with Cross-Sectional Dependence [PDF]
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
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Obesity 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
Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero. [PDF]
Biometrics, 2021 Cheng J, Small DS.
europepmc +1 more source
Obesity 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
A Semiparametric Bayesian Approach to Heterogeneous Spatial Autoregressive Models
EntropyMany semiparametric spatial autoregressive (SSAR) models have been used to analyze spatial data in a variety of applications; however, it is a common phenomenon that heteroscedasticity often occurs in spatial data analysis.
Ting Liu, Dengke Xu, Shiqi Ke
doaj +1 more source
Digital Roots or Digital Routes? Broadband Expansion and the Rural‐Urban Migration in China
Population and Development Review, EarlyView.Abstract This study investigates how broadband internet affects rural–urban migration in China using the Universal Broadband and Telecommunication Services pilot program launched in 2015 as a quasi‐experimental setting. Analyzing China Household Finance Survey data (2013–2021) with difference‐in‐differences estimation, we find that improved internet ...
Shuang Ma, Ren Mu
wiley +1 more source
Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting
Applied Computational Intelligence and Soft Computing, 2017 Forecasting in big datasets is a common but complicated task, which cannot be executed using the well-known parametric linear regression. However, nonparametric and semiparametric methods, which enable forecasting by building nonlinear data models, are ...
Jelena Fiosina, Maksims Fiosins
doaj +1 more source
Semiparametric Estimation in Multivariate Nonstationary Time Series Models [PDF]
A system of multivariate semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components.
Peter C.B. Phillips, Jiti Gao
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