Results 121 to 130 of about 30,733 (250)

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

Two-Stage Estimation of Partially Linear Varying Coefficient Quantile Regression Model with Missing Data

open access: yesMathematics
In this paper, the statistical inference of the partially linear varying coefficient quantile regression model is studied under random missing responses.
Shuanghua Luo, Yuxin Yan, Cheng-yi Zhang
doaj   +1 more source

Rapid dehydration drives a nondiffusional drop in C3 photosynthesis that aligns with phosphate limitation

open access: yesNew Phytologist, EarlyView.
Schematic representation of the causal sequence through which rapid water loss imposes diffusive and nondiffusive restrictions on carbon assimilation. Summary Drought is an abnormally prolonged water deficit posing major challenges to plants. Stomatal closure has long been considered the primary factor limiting photosynthesis during the early stages of
Chandra Bellasio   +4 more
wiley   +1 more source

Parameter Estimation of the Partially Linear Quantile Regression Model Under Monotonic Constraints

open access: yesJournal of Mathematics
The paper brings forward the partially linear quantile regression model by incorporating monotonic constraints, which are common in real-world relationships between variables.
Shujin Wu   +3 more
doaj   +1 more source

Nonparametric Inferences on Conditional Quantile Processes [PDF]

open access: yes
This paper is concerned with tests of restrictions on the sample path of conditional quantile processes. These tests are tantamount to assessments of lack of fit for models of conditional quantile functions or more generally as tests of how certain ...
Chuan Goh
core  

Sustainable Development and Social Inclusion: Efficiency Evidence From Spain and Policy Pathways for the SDGs

open access: yesBusiness Strategy &Development, Volume 9, Issue 2, June 2026.
ABSTRACT This study examines how hospitality efficiency, sustainability and social inclusion are associated with the achievement of the Sustainable Development Goals (SDGs) in Spain's 17 autonomous communities (ACs) in 2023. Using non‐parametric efficiency analysis with bootstrap correction, quantile regression models, and Random Forest methods, an ...
José Solana‐Ibáñez   +2 more
wiley   +1 more source

Powerful nonparametric checks for quantile regression

open access: yes, 2014
We address the issue of lack-of-fit testing for a parametric quantile regression. We propose a simple test that involves one-dimensional kernel smoothing, so that the rate at which it detects local alternatives is independent of the number of covariates.
Maistre, Samuel   +2 more
openaire   +2 more sources

Spatial behavior of socially isolated wild pigs (Sus scrofa) following sounder removal via trapping

open access: yesPest Management Science, Volume 82, Issue 6, Page 5225-5236, June 2026.
Following partial sounder removal, socially isolated wild pigs maintained site fidelity near traps, highlighting post‐control behavioral tendencies that are relevant to pest management and disease mitigation. Abstract BACKGROUND The rapid expansion of wild pig (Sus scrofa) populations across North America, coupled with increased concern over disease ...
Sebastian Gomez‐Maldonado   +4 more
wiley   +1 more source

On the Foundational Arguments of Sufficient Dimension Reduction

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

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