Results 81 to 90 of about 2,542,650 (299)
Restricted Regression Quantiles
Journal of Multivariate Analysis, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Journal of Economic Perspectives, 2001 Quantile regression, as introduced by Koenker and Bassett (1978), may be viewed as an extension of classical least squares estimation of conditional mean models to the estimation of an ensemble of models for several conditional quantile functions. The central special case is the median regression estimator which minimizes a sum of absolute errors ...
Koenker, Roger, Hallock, Kevin F.
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Advanced Science, EarlyView.Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke +32 more
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Simulation Study The Implementation of Quantile Bootstrap Method on Autocorrelated Error
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018 Quantile regression is a regression method with the approach of separating or dividing data into certain quantiles by minimizing the number of absolute values from asymmetrical errors to overcome unfulfilled assumptions, including the presence of ...
Ovi Delviyanti Saputri +2 more
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Prior elicitation in Bayesian quantile regression for longitudinal data [PDF]
, 2011 © 2011 Alhamzawi R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original auhor and source are ...
Alhamzawi, Rahim +7 more
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Advanced Science, EarlyView.Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
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Probabilistic Solar Forecasting Using Quantile Regression Models
Energies, 2017 In this work, we assess the performance of three probabilistic models for intra-day solar forecasting. More precisely, a linear quantile regression method is used to build three models for generating 1 h–6 h-ahead probabilistic forecasts. Our approach is
Philippe Lauret +2 more
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Regression Rank Scores and Regression Quantiles
The Annals of Statistics, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gutenbrunner, C., Jureckova, J.
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MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
Advanced Science, EarlyView.This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
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Advanced Science, EarlyView.This work develops a metabolic sharing strategy that employs cytidine monophosphate (CMP) to competitively reprogram floxuridine (FUDR) pyrimidine metabolism in colorectal tumor cells. Elevated intracellular FdUMP induces nucleotide imbalance, drives mitochondrial DNA release and cGAS‐STING innate immune cascade activation, and potentiates robust ...
Chao Wang +10 more
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