Results 81 to 90 of about 2,562,360 (318)
Parametric and Nonparametric Tests for Speckled Imagery
, 2011 Synthetic aperture radar (SAR) has a pivotal role as a remote imaging method. Obtained by means of coherent illumination, SAR images are contaminated with speckle noise.
Cintra, Renato J. +2 more
core +1 more source
Robust nonparametric regression estimation
Journal of Multivariate Analysis, 1989 Following \textit{P. J. Huber}'s [Ann. Math. Statistics 35, 73-101 (1964; Zbl 0136.398)] proposal for location, the authors define a robust conditional location functional in order to obtain from it robust and nonparametric estimators of the conditional expectation. The functional is defined without requiring any moment condition.
Boente, Graciela, Fraiman, Ricardo
openaire +2 more sources
Nonparametric Predictive Regression
, 2015 A unifying framework for inference is developed in predictive regressions where the predictor has unknown integration properties and may be stationary or nonstationary. Two easily implemented nonparametric F-tests are proposed.
Ioannis Kasparis +2 more
semanticscholar +1 more source
Advanced Science, EarlyView.This study identifies the HDAC6/GATA4/HtrA1 axis as a critical driver of cellular senescence in the inner ear. GATA4 nuclear translocation, facilitated by HDAC6 downregulation, transcriptionally activates HtrA1, promoting hair cell senescence, SASP, and audio‐vestibular dysfunction in models of Ménière's disease and age‐related audio‐vestibular ...
Na Zhang +16 more
wiley +1 more source
Sensors, 2011 We consider a problem of high-resolution array radar/SAR imaging formalized in terms of a nonlinear ill-posed inverse problem of nonparametric estimation of the power spatial spectrum pattern (SSP) of the random wavefield scattered from a remotely sensed
Stewart Santos +2 more
doaj +1 more source
Remote Sensing, 2020 The launch of Sentinel-2A and B satellites has boosted the development of many applications that could benefit from the fine resolution of the supplied information, both in time and in space.
Amal Chakhar +5 more
doaj +1 more source
Robustness versus efficiency for nonparametric correlation measures. [PDF]
Nonparametric correlation measures at the Kendall and Spearman correlation are widely used in the behavioral sciences. These measures are often said to be robust, in the sense of being resistant to outlying observations.
Croux, Christophe, Dehon, Catherine
core
Evaluation of the Fourth Millennium Development Goal Realisation Using Robust and Nonparametric Tools Offered by Data Depth Concept [PDF]
, 2015 We briefly communicate results of a nonparametric and robust evaluation of effects of \emph{the Fourth Millennium Development Goal of United Nations}.
Kosiorowska, Ewa +2 more
core
Wasserstein Distributionally Robust Nonparametric Regression
CoRRWasserstein distributionally robust optimization (WDRO) strengthens statistical learning under model uncertainty by minimizing the local worst-case risk within a prescribed ambiguity set. Although WDRO has been extensively studied in parametric settings, its theoretical properties in nonparametric frameworks remain underexplored.
Changyu Liu +3 more
openaire +2 more sources
Advanced Science, EarlyView.ABSTRACT Our previous clinical trials had demonstrated that neoadjuvant hypofractionated radiotherapy (HFRT) combined with immunotherapy yields promising clinical outcomes in locally advanced rectal cancer (LARC). However, this combined modality benefits only a subset of patients, highlighting the need to uncover the mechanisms underlying how ...
Lichao Liu +12 more
wiley +1 more source