Outliers in Semi-Parametric Estimation of Treatment Effects [PDF]
Econometrics, 2021 Outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric estimates. In this paper, we use Monte Carlo simulations to demonstrate that semi-parametric methods, such as matching, are biased in the presence of ...
Gustavo Canavire-Bacarreza +2 more
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Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model [PDF]
Entropy, 2022 The central focus of this paper is upon the alleviation of the boundary problem when the probability density function has a bounded support. Mixtures of beta densities have led to different methods of density estimation for data assumed to have compact ...
Salima Helali +2 more
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Cervical cancer precursors and hormonal contraceptive use in HIV-positive women: application of a causal model and semi-parametric estimation methods. [PDF]
PLoS ONE, 2014 OBJECTIVE:To demonstrate the application of causal inference methods to observational data in the obstetrics and gynecology field, particularly causal modeling and semi-parametric estimation.
Hannah H Leslie +6 more
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Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population [PDF]
Journal of Causal Inference, 2016 We study the framework for semi-parametric estimation and statistical inference for the sample average treatment-specific mean effects in observational settings where data are collected on a single network of possibly dependent units (e.g., in the ...
Sofrygin Oleg, van der Laan Mark J.
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Semi-parametric estimation for ARCH models
Alexandria Engineering Journal, 2018 In this paper, we conduct semi-parametric estimation for autoregressive conditional heteroscedasticity (ARCH) model with Quasi likelihood (QL) and Asymptotic Quasi-likelihood (AQL) estimation methods.
Raed Alzghool, Loai M. Al-Zubi
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Comparing the Effect of Beractant (Beraksurf™) with That of Poractant Alfa (Curosurf®) on the Need for Intermittent Positive Pressure Ventilation in Neonatal Respiratory Distress Syndrome by Adopting a Semi-parametric Approach: Re-Analyzing Data of a Randomized Controlled Trial [PDF]
BMC PediatricsIntroduction Randomized controlled trial (RCT) data are analyzed by two challengeable adjusted and non-adjusted approaches. Performing appropriate adjusted analysis leads to a more interpretable and efficient estimation of treatment effects ...
Yosra Khazani +3 more
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Issues in Statistical Modelling of Human Capital and Economic Growth Nexus
NUST Journal of Social Sciences and Humanities, 2021 The human capital and growth relationship has been subject to considerable debate in economic literature. The empirical growth models are beset with problems ranging from theoretical frameworks and statistical modelling to estimation procedures.
Verda Salman +2 more
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A High Precision Accelerometer Calibration Method [PDF]
Hangkong bingqi, 2022 Centrifuge calibration can continuously provide centripetal acceleration of more than 1g, and can fully stimulate the high-order nonlinear term of accelerometer.
Lu Kewen, Wang Xinlong, Wang Bin, Nie Guanghao, Hu Xiaodong
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Semi-Parametric Estimation of American Option Prices [PDF]
SSRN Electronic Journal, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gagliardini P., Ronchetti D.
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Nonparametric Multivariate Density Estimation: Case Study of Cauchy Mixture Model
Mathematics, 2021 Estimation of probability density functions (pdf) is considered an essential part of statistical modelling. Heteroskedasticity and outliers are the problems that make data analysis harder. The Cauchy mixture model helps us to cover both of them.
Tomas Ruzgas +2 more
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