Results 71 to 80 of about 5,713 (196)
Asia &the Pacific Policy Studies, Volume 13, Issue 3, September 2026.ABSTRACT Addressing climate change has become the high‐profile international issue. This paper focuses on Chinese A‐share listed firms from 2010 to 2023, adopts computerised textual analysis to construct corporate climate disclosure intensity index, and verifies their validity in various aspects.
Liyu Long, Zhi Wang, Yuan Jiang
wiley +1 more source
Wavelet Threshold Estimator of Semiparametric Regression Function with Correlated Errors
پژوهشهای ریاضی, 2022 Wavelet analysis is one of the useful techniques in mathematics which is used much in statistics science recently. In this paper, in addition to introduce the wavelet transformation, the wavelet threshold estimation of semiparametric regression model ...
Mahmoud Afshari +2 more
doaj
Wavelet‐Based Hurst Exponent Estimation
WIREs Computational Statistics, Volume 18, Issue 3, September 2026.The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa +2 more
wiley +1 more source
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
Multivariate and semiparametric kernel regression [PDF]
, 1997 The paper gives an introduction to theory and application of multivariate and semiparametric kernel smoothing. Multivariate nonparametric density estimation is an often used pilot tool for examining the structure of data. Regression smoothing helps in investigating the association between covariates and responses.
Härdle, Wolfgang, Müller, Marlene
openaire +2 more sources
Endogeneity in Nonparametric and Semiparametric Regression Models [PDF]
, 2010 This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenous regressors. We list a number of different generalizations of the linear structural equation model, and discuss how two common estimation approaches for linear equations-the "instrumental variables" and "control function ...
Richard Blundell, James L. Powell
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Biometrical Journal, Volume 68, Issue 4, August 2026.ABSTRACT Beyersmann et al. propose a functional interpretation of hazards, viewing them as evolving quantities describing the entire event process rather than as pointwise causal contrasts. In this commentary, we elaborate on the implications of this view for causal inference in modern clinical trials with survival outcomes. We emphasize how censoring,
Malka Gorfine, Daniel Nevo
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.
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Biometrical Journal, Volume 68, Issue 4, August 2026.ABSTRACT In estimating the average treatment effect (ATE), the plug‐in estimator with the efficient influence function and the targeted maximum likelihood estimator (TMLE) are semiparametrically efficient. However, the estimators suffer from the fact that too small/large a propensity score (PS) in the denominators can make the estimators unstable. This
Myoung‐jae Lee, Sanghyeok Lee
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