Results 11 to 20 of about 97,178 (217)

Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China

open access: yesRemote Sensing, 2021
Changes in climate extremes have a profound impact on vegetation growth. In this study, we employed the Moderate Resolution Imaging Spectroradiometer (MODIS) and a recently published climate extremes dataset (HadEX3) to study the temporal and spatial ...
Simeng Wang, Qihang Liu, Chang Huang
doaj   +1 more source

Evaluación tecnológica explotativa del motocultor Dongfeng DF 151L en preparación de suelo para sembrar maíz

open access: yesLa Técnica: Revista de las Agrociencias, 2020
Exploitative technological evaluation of the Dongfeng DF 151L motor cultivator in soil preparation for sowing maize Resumen La presente investigación se realizó en la “Finca Juanito”, coordenadas 1o19’46’’ LS y 80o35’3’’ LO, cantón Jipijapa ...
Byron Leonardo Quimís Guerrido   +4 more
doaj   +1 more source

Using Genetic Risk Score Approaches to Infer Whether an Environmental Factor Attenuates or Exacerbates the Adverse Influence of a Candidate Gene

open access: yesFrontiers in Genetics, 2020
Some candidate genes have been robustly reported to be associated with complex traits, such as the fat mass and obesity-associated (FTO) gene on body mass index (BMI), and the fibroblast growth factor 5 (FGF5) gene on blood pressure levels.
Wan-Yu Lin   +10 more
doaj   +1 more source

Twenty-Four-Hour Ahead Probabilistic Global Horizontal Irradiance Forecasting Using Gaussian Process Regression

open access: yesAlgorithms, 2021
Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector
Edina Chandiwana   +2 more
doaj   +1 more source

Regularized Ordinal Regression and the ordinalNet R Package

open access: yesJournal of Statistical Software, 2021
Regularization techniques such as the lasso (Tibshirani 1996) and elastic net (Zou and Hastie 2005) can be used to improve regression model coefficient estimation and prediction accuracy, as well as to perform variable selection.
Michael J. Wurm   +2 more
doaj   +1 more source

An Application of High-Dimensional Statistics to Predictive Modeling of Grade Variability

open access: yesGeosciences, 2020
The economic viability of a mining project depends on its efficient exploration, which requires a prediction of worthwhile ore in a mine deposit. In this work, we apply the so-called LASSO methodology to estimate mineral concentration within unexplored ...
Juri Hinz   +2 more
doaj   +1 more source

Salvage decision-making based on carbon following an eastern spruce budworm outbreak

open access: yesFrontiers in Forests and Global Change, 2023
Forest disturbances, such as an eastern spruce budworm (Choristoneura fumiferana) outbreak, impact the strength and persistence of forest carbon sinks. Salvage harvests are a typical management response to widespread tree mortality, but the decision to ...
Lisa N. Scott   +8 more
doaj   +1 more source

Networked Exponential Families for Big Data Over Networks

open access: yesIEEE Access, 2020
The data generated in many application domains can be modeled as big data over networks, i.e., massive collections of high-dimensional local datasets related via an intrinsic network structure.
Alexander Jung
doaj   +1 more source

Generalized Stochastic Restricted LARS Algorithm

open access: yesRuhuna Journal of Science, 2022
The Least Absolute Shrinkage and Selection Operator (LASSO) is used to tackle both the multicollinearity issue and the variable selection concurrently in the linear regression model.
Manickavasagar Kayanan   +1 more
doaj   +1 more source

Penalized Lasso Methods in Health Data: application to trauma and influenza data of Kerman [PDF]

open access: yesJournal of Kerman University of Medical Sciences, 2019
Background: Two main issues that challenge model building are number of Events Per Variable and multicollinearity among exploratory variables. Our aim is to review statistical methods that tackle these issues with emphasize on penalized Lasso regression ...
Abolfazl Hosseinnataj   +6 more
doaj   +1 more source

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