Results 61 to 70 of about 5,713 (196)

Modified Ridge Regression With Cook’s Distance for Semiparametric Regression Models

open access: yesJournal of Mathematics
Multicollinearity and influential cases in semiparametric regression models lead to biased and unreliable estimates distorting leverage and residual patterns.
Najeeb Mahmood Khan   +3 more
doaj   +1 more source

Testing Distributional Granger Causality With Entropic Optimal Transport

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley   +1 more source

Behavioral Charity: Third‐Party Ratings of Nonprofits as Salience and Heuristics

open access: yesPublic Administration Review, EarlyView.
ABSTRACT Financial disclosure through tax returns is the primary regulatory mechanism for holding nonprofits accountable to donors in the USA. The assumption that donors will make rational decisions using disclosed information when giving to nonprofits is central to this regulation. But what if they rely on mental shortcuts instead? This study examines
Ashraf Haque
wiley   +1 more source

THE PARAMETRIC AND NONPARAMETRIC ESTIMATOR IN SEMIPARAMETRIC REGRESSION FOR LONGITUDINAL DATA WITH SPLINE APPROACH

open access: yesJurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2023
Regression analysis aims to determine the relationship between response variables and predictor variables. There are three approaches to estimate regression curves, there are parametric, nonparametric, and semiparametric regression.
Tony Yulianto   +6 more
doaj  

SEMIPARAMETRIC REGRESSION AND GRAPHICAL MODELS

open access: yesAustralian & New Zealand Journal of Statistics, 2009
SummarySemiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric regression, as a larger class of models can be accommodated. Complications such as missingness and measurement error are more
openaire   +3 more sources

Modeling Downside Risks for China's Security Markets: Does Greenness Make Bonds a Safer Haven?

open access: yesScottish Journal of Political Economy, EarlyView.
ABSTRACT Motivated by its current defective governance regime and institutional characteristics of green finance, this study models Value‐at‐Risk and Expected Shortfall of security markets for China. We extend Patton et al.'s (2019) models by introducing four exogenous risk factors including China's climate policy uncertainty (CCPU).
Xiao‐Ming Li
wiley   +1 more source

TRUNCATED SPLINE SEMIPARAMETRIC REGRESSION TO HANDLE MIXED PATTERN DATA IN MODELING THE RICE PRODUCTION IN EAST JAVA PROVINCE

open access: yesBarekeng
Climate change can affect rice production through changes in temperature, precipitation patterns, extreme weather events, and atmospheric carbon dioxide levels.
Sri Sulistijowati Handajani   +5 more
doaj   +1 more source

Comparing Groups of Decision-Making Units in Efficiency Based on Semiparametric Regression

open access: yesMathematics, 2020
We consider a stochastic frontier model in which a deviation of output from the production frontier consists of two components, a one-sided technical inefficiency and a two-sided random noise.
Hohsuk Noh, Seong J. Yang
doaj   +1 more source

Trade Sophistication and Economic Development Stages in the Context of Global Digitalization

open access: yesThe World Economy, EarlyView.
ABSTRACT This study aims to explore the relationship between trade sophistication and economic development stages, including in the context of digitalization. We employ nonparametric, semiparametric, and parametric methods, covering the period from 2003 to 2024 across 119 countries, categorized into three income groups.
Kim Hanh Nguyen   +3 more
wiley   +1 more source

Detection of Influential Observations in Semiparametric Regression Model

open access: yesRevista Colombiana de Estadística, 2013
In this article, we consider the semiparametric regression model and examine influential observations which have undue effects on the estimators for this model.
SEMRA TÜRKAN, ÖNIZ TOKTAMIS
doaj  

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