Results 121 to 130 of about 137,194 (317)
Advanced Science, EarlyView.The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng +9 more
wiley +1 more source
Quantile Regression in Risk Calibration [PDF]
Financial risk control has always been challenging and becomes now an even harder problem as joint extreme events occur more frequently. For decision makers and government regulators, it is therefore important to obtain accurate information on the ...
Wolfgang Karl Härdle +2 more
core
Meteorological ApplicationsQuantiles of precipitation are widely used in ensemble forecast systems. At present, the common practice is to provide precipitation amounts corresponding to different quantiles to users directly, which will make it difficult for users to extract ...
Lianglyu Chen, Yu Xia
doaj +1 more source
Public-private income gap in Brazil: a counterfactual analysis
Economia & Região, 2017 The study investigated the gap of public-private income through the Decomposition of OaxacaBlinder, quantile regression and Melly’s Quantile Decomposition through the PNAD data of 2013.
Raphael Gomes Brasil +1 more
doaj +1 more source
Advanced Science, EarlyView.ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang +9 more
wiley +1 more source
TWO-STAGE QUANTILE REGRESSION WHEN THE FIRST STAGE IS BASED ON QUANTILE REGRESSION [PDF]
We present the asymptotic properties of double-stage quantile regression estimators with random regressors, where the first stage is based on quantile regressions with the same quantile as in the second stage, which ensures robustness of the estimation ...
Tae-Hwan Kim, Christophe Muller
core
Uniform Bahadur Representation for Nonparametric Censored Quantile Regression: A Redistribution-of-Mass Approach [PDF]
, 2016 Censored quantile regressions have received a great deal of attention in the literature. In a linear setup, recent research has found that an estimator based on the idea of “redistribution-of-mass” in Efron (1967, Proceedings of the Fifth Berkeley ...
Kong, Efang, Xia, Yingcun
core +1 more source
Reverse Quantile‐RK and Its Application to Quantile‐RK
Numerical Linear Algebra with ApplicationsABSTRACTWhen solving linear systems , , and are given, but the measurements often contain corruptions. Inspired by recent work on the quantile‐randomized Kaczmarz method, we propose an acceleration of the randomized Kaczmarz method in the uncorrupted setting using quantile information.
Emeric Battaglia, Anna Ma
openaire +3 more sources
Research on elimination method of abnormal power data of wind turbine
Diance yu yibiaoWind speed-power curve is widely used in power prediction, condition monitoring and fault diagnosis of wind turbine. Its main construction method is to fit the supervisory control and data acquisition (SCADA) data. However, due to wind abandonment, power
YANG Xinyue +3 more
doaj +1 more source
Advanced Science, EarlyView.An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source