Results 111 to 120 of about 27,081 (245)
Semiparametric Bayesian analysis of high-dimensional censored outcome data
Statistical Theory and Related Fields, 2017 The Surveillance, Epidemiology and End Results (SEER) cancer database contains survival data for US individuals diagnosed with cancer. Semiparametric Bayesian methods are computationally expensive to fit for such large data-sets.
Chetkar Jha, Yi Li, Subharup Guha
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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
Asymptotic Expansions for Some Semiparametric Program Evaluation Estimators [PDF]
We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic expansions. We derive approximations to the first two moments of the estimator that are valid to 'second order'.
Oliver Linton, Hidehiko Ichimura
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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
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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
Semiparametric Counterfactual Regression
We study counterfactual regression, which aims to map input features to outcomes under hypothetical scenarios that differ from those observed in the data. This is particularly useful for decision-making when adapting to sudden shifts in treatment patterns is essential.
openaire +2 more sources
Inference on semiparametric models with discrete regressors [PDF]
, 1993 We study statistical properties of coefficient estimates of the partially linear regression model when some or all regressors, in the unknown part of the model, are discrete. The method does not require smoothing in the discrete variables.
Delgado, Miguel A., Mora, Juan
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JTAM (Jurnal Teori dan Aplikasi Matematika)Regression analysis is one of the statistical methods used to model the relationship between response variables and predictor variables. Semiparametric regression is a combination of parametric and nonparametric regression.
Tiani Wahyu Utami +2 more
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An asymptotic theory for model selection inference in general semiparametric problems. [PDF]
Recently, Hjort and Claeskens (2003) developed an asymptotic theory for model selection, model averaging and post-model selection/averaging inference using likelihood methods in parametric models, along with associated confidence statements.
Claeskens, Gerda, Carroll, RJ
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