Results 101 to 110 of about 206,054 (294)
Unconditional Quantile Regressions [PDF]
We propose a new regression method to estimate the impact of explanatory variables on quantiles of the unconditional distribution of an outcome variable. The proposed method consists of running a regression of the (recentered) influence function (RIF) of
Nicole M. Fortin +2 more
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Enhancing ultra-short-term wind power forecasting using the Copula quantile regression method
工程科学学报In recent years, the shift toward renewable energy in China’s power industry has been remarkable, with the installed capacity of renewables surpassing that of coal-fired power.
Junhong GUO +5 more
doaj +1 more source
The Log-Expo Inverse Gompertz Distribution: properties and Estimations [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-TiğāriyyaẗThis paper introduces the Log-Expo Inverse Gompertz Distribution (LET-IG) three-parameter distribution and examines some of its mathematical properties. The study derives the density distribution, reliability function, and hazard rate function.
محمد عبد القادر +1 more
doaj +1 more source
Local identification in nonseparable models [PDF]
, 2002 Conditions are derived under which there is local nonpara metric identification of values of structural functions and of their derivatives in potentially nonlinear nonseparable models.
Chesher, A.
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Advanced Science, EarlyView.Silicon hot‐carrier photodetectors offer a CMOS‐compatible pathway for SWIR detection but suffer from intrinsically low quantum efficiency. Here, we introduce a quasi‐generalized antireflection coating (QARC) that universally enhances optical absorption and quantum efficiency, enabling the first CMOS‐compatible SWIR imaging with silicon hot‐carrier ...
Eui‐Hyoun Ryu +11 more
wiley +1 more source
A quantile-based method to efficiently determine model response at boundary probabilities
Advances in Mechanical Engineering, 2020 Quantiles are values of a function associated with specific probabilities. Two very specific quantiles, that is, ±3, are usually used for estimating probabilistic distribution of the function.
Xiongming Lai +4 more
doaj +1 more source
Advanced Science, EarlyView.This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source
Different channels of impact of education on poverty: an analysis for Colombia [PDF]
This paper analyses pecuniary and non-pecuniary effects of education on poverty. Two are the main contributions: first, the pecuniary analysis employs the recently developed technique of instrumental variable quantile regression, very helpful method when
Blanca Zuluaga
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Generalized Method of Moments Estimator Based On Semiparametric Quantile Regression Imputation [PDF]
, 2014 In this article, we consider an imputation method to handle missing response values based on semiparametric quantile regression estimation. In the proposed method, the missing response values are generated using the estimated conditional quantile ...
Chen, Senniang, Yu, Cindy L
core +3 more sources
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
, 2018 Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level labels. We propose a new method for aggregating predictions from smaller regions of the image into an image-level ...
CT Hiley +9 more
core +1 more source