Spatiotemporal modeling of hydrological return levels: A quantile regression approach
Sign Up to like & getrecommendations! Published in 2019 at "Environmetrics"
DOI: 10.1002/env.2522
Abstract: Extreme river flows can lead to inundation of floodplains, with consequent impacts for society, the environment, and the economy. Extreme flows are inherently difficult to model, being infrequent, irregularly spaced, and affected by nonstationary climatic… read more here.
Keywords: quantile regression; regression; model; spatiotemporal modeling ... See more keywords
Spatial Distribution of Malnutrition among Children Under Five in Nigeria: A Bayesian Quantile Regression Approach
Sign Up to like & getrecommendations! Published in 2019 at "Applied Spatial Analysis and Policy"
DOI: 10.1007/s12061-017-9240-8
Abstract: Issues of malnutrition among young children in developing countries are gaining more attention of policy-makers because of the adverse effects on the well-being of people and economic of these nations. Anthropometric variables used for determining… read more here.
Keywords: regression; bayesian quantile; malnutrition; malnutrition among ... See more keywords
Heterogeneity and fine wine prices: application of the quantile regression approach
Sign Up to like & getrecommendations! Published in 2019 at "Applied Economics"
DOI: 10.1080/00036846.2019.1696937
Abstract: ABSTRACT This study addresses the price heterogeneity of the five first growths of Bordeaux. We apply the quantile regression (QR) approach with market segmentation based on wine bottle price quantiles. We compute the hedonic price… read more here.
Keywords: quantile regression; wine; wine prices; approach ... See more keywords
A Multiple Regression Approach for Traffic Flow Estimation
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DOI: 10.1109/access.2019.2904645
Abstract: Traffic flow information is of great importance for transport planning and related research. The conventional methods of automated data collection, such as annual average daily traffic (AADT) data, are often restricted by limited installation, while… read more here.
Keywords: flow; multiple regression; traffic; regression approach ... See more keywords
Automatic Velocity Analysis Using a Hybrid Regression Approach With Convolutional Neural Networks
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DOI: 10.1109/tgrs.2020.3022744
Abstract: The definition of reliable velocity functions is paramount for obtaining high-quality poststack seismic data. Velocity functions are commonly created with the interpreter interactively selecting high-energy peaks in velocity spectra and verifying if the derived velocity… read more here.
Keywords: velocity; methodology; hybrid regression; neural networks ... See more keywords
Conditional Generative Adversarial Network-Based Regression Approach for Walking Distance Estimation Using Waist-Mounted Inertial Sensors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3177730
Abstract: This article introduces a novel regression approach based on deep learning for estimating the walking distance using inertial sensors attached to the pedestrian’s waist. Walking step length can be estimated by using supervised learning. However,… read more here.
Keywords: regression approach; step; regression; step length ... See more keywords