Results 41 to 50 of about 30,799 (217)

A Polarimetric Decomposition and Copula Quantile Regression Approach for Soil Moisture Estimation From Radarsat-2 Data Over Vegetated Areas

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
This article proposes a novel framework for probabilistic estimation of surface soil moisture (SSM) based on polarimetric decomposition and copula quantile regression, mainly focusing on solving the low correlation between synthetic aperture radar (SAR ...
Li Zhang, Rui Wang, Huiming Chai, Xiaolei Lv   +3 more
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Interval Estimation of State of Health for Lithium Batteries Considering Different Charging Strategies

Shanghai Jiaotong Daxue xuebao
State of health (SOH) estimation of lithium-ion (Li-ion) batteries is of great importance for battery use, maintenance, management, and economic evaluation.
ZHANG Xiaoyuan, ZHANG Jinhao, YANG Lixin
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Simultaneous estimation of quantile curves using quantile sheets [PDF]

AStA Advances in Statistical Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schnabel, S.K., Eilers, P.H.C.
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Incremental Quantiles Estimators for Tracking Multiple Quantiles [PDF]

, 2017
In this paper, we investigate the problem of estimating multiple quantiles when samples are received online (data stream). We assume that we are dealing with a dynamical system, i.e. the distribution of the samples from the data stream changes with time.
Hammer, Hugo Lewi, Yazidi, Anis
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Confidence Interval Estimation for Precipitation Quantiles Based on Principle of Maximum Entropy

Entropy, 2019
The principle of maximum entropy (POME) has been used for a variety of applications in hydrology, however it has not been used in confidence interval estimation.
Ting Wei, Songbai Song
doaj   +1 more source

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm

IEEE Access, 2018
Traditional pattern classification works with the moments of the distributions of the features and involves the estimation of the means and variances.
Anis Yazidi, Hugo Hammer, B. John Oommen
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Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model

Mathematics
In this paper, we propose a smoothing estimation method for censored quantile regression models. The method associates the convolutional smoothing estimation with the loss function, which is quadratically derivable and globally convex by using a non ...
Mingquan Wang, Xiaohua Ma, Xinrui Wang, Jun Wang, Xiuqing Zhou, Qibing Gao   +5 more
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fitdistrplus: An R Package for Fitting Distributions

Journal of Statistical Software, 2015
The package fitdistrplus provides functions for fitting univariate distributions to different types of data (continuous censored or non-censored data and discrete data) and allowing different estimation methods (maximum likelihood, moment matching ...
Marie Laure Delignette-Muller, Christophe Dutang   +1 more
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Bayesian analysis for quantile smoothing spline

Statistical Theory and Related Fields, 2021
In Bayesian quantile smoothing spline [Thompson, P., Cai, Y., Moyeed, R., Reeve, D., & Stander, J. (2010). Bayesian nonparametric quantile regression using splines.
Zhongheng Cai, Dongchu Sun
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Simultaneous estimation and variable selection for a non-crossing multiple quantile regression using deep neural networks [PDF]

, 2023
Jungmin Shin, Seunghyun Gwak, Seung Jun Shin, Sungwan Bang   +3 more
openalex   +1 more source