Semiparametric regression of panel count data with informative terminal event. [PDF]
Bernoulli (Andover), 2023 Hu X, Liu LI, Zhang Y, Zhao X.
europepmc +1 more source
Transfer Learning Under Group‐Label Shift: A Semiparametric Exponential Tilting Approach
Scandinavian Journal of Statistics, EarlyView.ABSTRACT This article studies unsupervised transfer learning for a binary outcome, with labeled source data and unlabeled target covariates. The setting is motivated by cases where standard covariate‐shift and label‐shift assumptions are inadequate: group‐ or environment‐related features may vary jointly with the label across populations, while the ...
Manli Cheng +3 more
wiley +1 more source
MODELING STUNTING PREVALENCE IN INDONESIA USING SPLINE TRUNCATED SEMIPARAMETRIC REGRESSION
BarekengSemiparametric regression combines parametric and nonparametric regression approaches. It is employed when the relationship pattern of the response variable is known with some predictors, while for other predictors, the relationship pattern is uncertain.
Rizki Dwi Fadlirhohim +2 more
doaj +1 more source
Modeling Downside Risks for China's Security Markets: Does Greenness Make Bonds a Safer Haven?
Scottish Journal of Political Economy, EarlyView.ABSTRACT Motivated by its current defective governance regime and institutional characteristics of green finance, this study models Value‐at‐Risk and Expected Shortfall of security markets for China. We extend Patton et al.'s (2019) models by introducing four exogenous risk factors including China's climate policy uncertainty (CCPU).
Xiao‐Ming Li
wiley +1 more source
Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer's disease. [PDF]
Biostatistics, 2022 Gao F, Zeng D, Wang Y.
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Nonparametric Conditional Copula Density Estimation With Applications to the Body Mass Index
Stat, Volume 15, Issue 4, December 2026.ABSTRACT This study develops a nonparametric conditional copula density estimator that features a parametric carrier copula refined by an exponential series adjustment. We adopt the local likelihood approach for conditional distribution estimation and incorporate the influence of covariates via kernel smoothing.
Michael Z. Wu, Lan Zhou
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Semiparametric regression modeling of the global percentile outcome. [PDF]
J Stat Plan Inference, 2023 Liu X, Ning J, He X, Tilley BC, Li R.
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The Political U: New Evidence on the Economic Costs of Hybrid Regimes
Economics &Politics, Volume 38, Issue 3, Page 747-769, November 2026.ABSTRACT Recent research establishes a positive causal effect from democracy to income, although this evidence relies mostly on binary regime classifications. We extend the identification framework of Acemoglu et al. (2019) to a classification that distinguishes democracies, autocracies, and hybrid regimes for about 170 countries over 1960–2024.
Nauro F. Campos +2 more
wiley +1 more source
The Combined Effect of Environmental Policies on China's Renewable Energy Development: A Multi-Perspective Study Based on Semiparametric Regression Model. [PDF]
Int J Environ Res Public Health, 2022 Yang X, Zhong S.
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Joint Analysis for Multivariate Longitudinal and Event Time Data With a Change Point Anchored at Interval‐Censored Event Time [PDF]
Stat MedABSTRACT Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder characterized by motor dysfunction, psychiatric disturbances, and cognitive decline. The onset of HD is marked by severe motor impairment, which may be predicted by prior cognitive decline and, in turn, exacerbate cognitive deficits. Clinical data, however, are often
Zhan Y, Zheng C, Zhang Y.
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