Results 31 to 40 of about 115,266,001 (132)
Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]
, 2001 Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas +5 more
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Testing Distributional Granger Causality With Entropic Optimal Transport
Journal 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
Time Series Domain Adaptation: A Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.This survey provides a comprehensive and systematic review of TSDA methods from the perspectives of access‐privacy constraints, category‐space semantics, and source‐target topology, three orthogonal axes that unify existing approaches within a common taxonomy.
M. T. Furqon +2 more
wiley +1 more source
Journal of Consumer Affairs, Volume 60, Issue 3, Fall 2026.ABSTRACT Greenwashing persists not only because firms are motivated to inflate their sustainability claims but also because consumers, limited by bounded rationality, depend on heuristics when overwhelmed with information. This conceptual article uses behavioral economics to connect specific types of greenwashing and greenhushing to affect ...
Luca Lancini
wiley +1 more source
Adaptive Estimation for Weakly Dependent Functional Times Series
Journal of Time Series Analysis, Volume 47, Issue 5, Page 1013-1027, September 2026.ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro +2 more
wiley +1 more source
Equivalent Results in Minimax Theory [PDF]
In this paper we review known minimax results with applications ingame theory and show that these results are easy consequences of thefirst minimax result for a two person zero sum game with finite strategysets published by von Neumann in 1928: Among ...
Kassay, G., Kolumban, J., Frenk, J.B.G.
core
Bayesian Inference for Multivariate Monotone Densities
Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1206-1229, September 2026.ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
A Phase I/II Study of Ibrutinib Plus Trastuzumab in HER2‐Positive Metastatic Breast Cancer
Cancer Medicine, Volume 15, Issue 8, August 2026.ABSTRACT Ibrutinib has demonstrated inhibition of ErbB/HER tyrosine kinases in preclinical models. This Phase I/II study investigated the safety, efficacy, and immunomodulatory effects of ibrutinib in combination with trastuzumab in patients with HER2‐positive metastatic breast cancer (MBC) whose disease had progressed on ado‐trastuzumab emtansine ...
Joyce O'Shaughnessy +10 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 8, August 2026.This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty +7 more
wiley +1 more source
Worst-case estimation for econometric models with unobservable components. [PDF]
A worst-case estimator for econometric models containing unobservable components, based on minimax principles for optimal selection of parameters, is proposed. Worst-case estimators are robust against the averse effects of unobservables.
Esteban Bravo, Mercedes +1 more
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