Results 51 to 60 of about 4,368 (154)

Order-Preserving Nonparametric Regression, With Applications to Conditional Distribution and Quantile Function Estimation

open access: yesJournal of the American Statistical Association, 2003
In some regression problems we observe a “response” Yti to level t of a “treatment” applied to an individual with level Xi of a given characteristic, where it has been established that response is monotone increasing in the level of the treatment. A related problem arises when estimating conditional distributions, where the raw data are typically ...
Hall, Peter, Mueller, Hans-Georg
openaire   +3 more sources

Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression.

open access: yesPLoS ONE
The renewable energy industry requires accurate forecasts of intermittent solar irradiance (SI) to effectively manage solar power generation and supply.
Amon Masache   +3 more
doaj   +1 more source

Smoothed Conditional Scale Function Estimation in AR(1)-ARCH(1) Processes

open access: yesJournal of Probability and Statistics, 2018
The estimation of the Smoothed Conditional Scale Function for time series was taken out under the conditional heteroscedastic innovations by imitating the kernel smoothing in nonparametric QAR-QARCH scheme.
Lema Logamou Seknewna   +2 more
doaj   +1 more source

Wavelet Density and Regression Estimators for Continuous Time Functional Stationary and Ergodic Processes

open access: yesMathematics, 2022
In this study, we look at the wavelet basis for the nonparametric estimation of density and regression functions for continuous functional stationary processes in Hilbert space. The mean integrated squared error for a small subset is established.
Sultana Didi, Salim Bouzebda
doaj   +1 more source

Reference Charts for Fetal Cerebellar Vermis Height: A Prospective Cross-Sectional Study of 10605 Fetuses. [PDF]

open access: yesPLoS ONE, 2016
OBJECTIVE:To establish reference charts for fetal cerebellar vermis height in an unselected population. METHODS:A prospective cross-sectional study between September 2009 and December 2014 was carried out at ALTAMEDICA Fetal-Maternal Medical Centre, Rome,
Pietro Cignini   +5 more
doaj   +1 more source

Nonparametric Estimates of Regression Quantiles and Their Local Bahadur Representation

open access: yesThe Annals of Statistics, 1991
Let $(X, Y)$ be a random vector such that $X$ is $d$-dimensional, $Y$ is real valued and $Y = \theta(X) + \varepsilon$, where $X$ and $\varepsilon$ are independent and the $\alpha$th quantile of $\varepsilon$ is $0$ ($\alpha$ is fixed such that $0 0$, and set $r = (p - m)/(2p + d)$, where $m$ is a nonnegative integer smaller than $p$. Let $T(\theta)$
openaire   +2 more sources

Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression [PDF]

open access: yesHydrology and Earth System Sciences, 2016
This study investigates the utilization of hydrological information in regional flood frequency analysis (RFFA) to enforce desired properties for a group of gauged stations.
M. Durocher   +2 more
doaj   +1 more source

On the Impact of Climate Change Policies on the Clean Technology Innovation: Evidence from Patent Data Analysis

open access: yesEnvironmental and Climate Technologies, 2023
This study investigates the role of environmental policies and regulations in mitigating climate change by promoting clean innovations and discouraging dirty ones.
Balcilar Mehmet, Agan Busra
doaj   +1 more source

Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model

open access: yesIEEE Access, 2020
With the rapid growth of photovoltaic (PV) power in recent years, the stability of system operation, the performance of system contingency analysis as well as the power quality of the power grid are threatened by the inherent uncertainty and fluctuation ...
Fei Mei   +7 more
doaj   +1 more source

Nonparametric Quantile Regression and Uniform Inference with Unknown Error Distribution

open access: yesJournal of Business & Economic Statistics
This paper studies the non-parametric estimation and uniform inference for the conditional quantile regression function (CQRF) with covariates exposed to measurement errors. We consider the case that the distribution of the measurement error is unknown and allowed to be either ordinary or super smooth.
Haoze Hou, Wei Huang, Zheng Zhang
openaire   +2 more sources

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