Results 121 to 130 of about 13,851,275 (245)
Semiparametric estimation of duration models when the parameters are subject to inequality constraints and the error distribution is unknown [PDF]
This paper proposes a semiparametric method for estimating duration models when there are inequality constraints on some parameters and the error distribution may be unknown.
Mervyn J. Silvapulle, Kulan Ranasinghe
core
"Characterization of the Asymptotic Distribution of Semiparametric M-Estimators" [PDF]
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
E-Jurnal Matematika, 2015 Semiparametric regression model approach is a model approach that combines parametric regression models and nonparametric regression. On semiparametric regression, most explanatory variables are parametric and nonparametric others are.
ANNA FITRIANI +2 more
doaj
StatsWe investigate a semiparametric generalized partially linear regression model that accommodates missing outcomes, with some covariates modeled parametrically and others nonparametrically. We propose a class of augmented inverse probability weighted (AIPW)
Lu Wang, Zhongzhe Ouyang, Xihong Lin
doaj +1 more source
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
wiley +1 more source
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
Gaussian semiparametric estimation of multivariate fractionally integrated processes [PDF]
This paper analyzes the semiparametric estimation of multivariate long-range dependent processes. The class of spectral densities considered includes multivariate fractionally integrated processes, which are not covered by the existing literature.
Katsumi Shimotsu
core
Semiparametric Optimal Estimation With Nonignorable Nonresponse Data [PDF]
, 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
Robust CDF‐Filtering of a Location Parameter
Journal of Time Series Analysis, Volume 47, Issue 6, Page 1113-1123, November 2026.ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
Statistica Neerlandica, Volume 80, Issue 4, November 2026.Abstract Data crowdsourcing is often used to collect relevance assessments in information retrieval tasks. However, estimating the agreement among crowdworkers is nontrivial, since data is sparse and often collected on a variety of rating scales.
Giuseppe Alfonzetti +2 more
wiley +1 more source