Results 121 to 130 of about 2,902,778 (234)
Moment Restriction-based Econometric Methods: An Overview [PDF]
Moment restriction-based econometric modelling is a broad class which includes the parametric, semiparametric and nonparametric approaches. Moments and conditional moments themselves are nonparametric quantities.
Michael McAleer +2 more
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BarekengSome semiparametric regression model approaches include spline, kernel, Fourier series, and wavelet. Semiparametric regression modelling can involve more than one independent variable (multivariable), a parametric approach is usually combined with one of
Lilik Hidayati +4 more
doaj +1 more source
Semiparametric Regression in Size‐Biased Sampling [PDF]
Biometrics, 2010 SummarySize‐biased sampling arises when a positive‐valued outcome variable is sampled with selection probability proportional to its size. In this article, we propose a semiparametric linear regression model to analyze size‐biased outcomes. In our proposed model, the regression parameters of covariates are of major interest, while the distribution of ...
openaire +3 more sources
Time‐Dependent Predictive Accuracy Metrics in the Context of Interval Censoring and Competing Risks
Biometrical Journal, Volume 68, Issue 1, February 2026.ABSTRACT Evaluating the performance of a prediction model is a common task in medical statistics. Standard accuracy metrics require the observation of the true outcomes. This is typically not possible in the setting with time‐to‐event outcomes due to censoring.
Zhenwei Yang +3 more
wiley +1 more source
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
Credit Risk Assessment in the Climate Shadow: Evidence From White and Grey Literature
Business Strategy and the Environment, Volume 35, Issue 2, Page 2526-2546, February 2026.ABSTRACT Climate change is reshaping financial stability, making climate risk a critical component of banks' risk management. However, the absence of standardized frameworks validated by central authorities hinders banks' ability to integrate climate risk into existing credit risk models.
Rodolfo Raimondi +3 more
wiley +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.
Degui Li, Jia Chen, Jiti Gao
core
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 multiparameter regression survival modeling
Scandinavian Journal of Statistics, 2019 AbstractWe consider a log‐linear model for survival data, where both the location and scale parameters depend on covariates, and the baseline hazard function is completely unspecified. This model provides the flexibility needed to capture many interesting features of survival data at a relatively low cost in model complexity.
Kevin Burke +2 more
openaire +4 more sources
International Journal of Cancer, Volume 158, Issue 3, Page 574-586, 1 February 2026.What's new? While ultraviolet radiation from the sun is the main risk factor for non‐melanoma skin cancer (NMSC), additional factors contribute to NMSC development. The present study examined the impact of occupational radiation exposure on NMSC risk among radiation workers in the United Kingdom.
Nezahat Hunter, Richard Haylock
wiley +1 more source