Results 41 to 50 of about 257,684 (210)

Load Nowcasting: Predicting Actuals with Limited Data

open access: yesEnergies, 2020
We introduce the problem of load nowcasting to the energy forecasting literature. The recent load of the objective area is predicted based on limited available metering data within this area.
Florian Ziel
doaj   +1 more source

Bayesian adaptive Lasso [PDF]

open access: yesAnnals of the Institute of Statistical Mathematics, 2013
We propose the Bayesian adaptive Lasso (BaLasso) for variable selection and coefficient estimation in linear regression. The BaLasso is adaptive to the signal level by adopting different shrinkage for different coefficients. Furthermore, we provide a model selection machinery for the BaLasso by assessing the posterior conditional mode estimates ...
Leng, C., Tran, M.-N., Nott, D.
openaire   +2 more sources

Discriminative Lasso [PDF]

open access: yesCognitive Computation, 2016
Lasso-type variable selection has been demonstrated to be effective in handling high-dimensional data. From the biological perspective, traditional Lasso-type models are capable of learning which stimuli are valuable while ignoring the many that are not, and thus perform feature selection.
Zhihong Zhang   +6 more
openaire   +3 more sources

Pivotal estimation via square-root Lasso in nonparametric regression [PDF]

open access: yes, 2013
We propose a self-tuning $\sqrt{\mathrm {Lasso}}$ method that simultaneously resolves three important practical problems in high-dimensional regression analysis, namely it handles the unknown scale, heteroscedasticity and (drastic) non-Gaussianity of the
Belloni, Alexandre   +2 more
core   +3 more sources

Distinguished Minimal Topological Lassos [PDF]

open access: yesSIAM Journal on Discrete Mathematics, 2015
A classical result in distance based tree-reconstruction characterizes when for a distance $D$ on some finite set $X$ there exist a uniquely determined dendrogram on $X$ (essentially a rooted tree $T=(V,E)$ with leaf set $X$ and no degree two vertices but possibly the root and an edge weighting $ :E\to \mathbb R_{\geq 0}$) such that the distance $D_ ...
Huber, Katharina T.   +1 more
openaire   +4 more sources

REAL-TIME RADIOACTIVE PRECURSOR OF THE APRIL 16, 2016 Mw 7.8 EARTHQUAKE AND TSUNAMI IN ECUADOR [PDF]

open access: yesScience of Tsunami Hazards, 2018
On the 16th of April 2016, a Mw 7.8 earthquake with a minor tsunami impacted coastal Ecuador, being the most devastating seismic event registered in northern South America in this century so far.
Theofilos Toulkeridis   +5 more
doaj  

Measurement Error in Lasso: Impact and Correction

open access: yes, 2014
Regression with the lasso penalty is a popular tool for performing dimension reduction when the number of covariates is large. In many applications of the lasso, like in genomics, covariates are subject to measurement error.
Frigessi, Arnoldo   +2 more
core   +1 more source

lassopack: Model selection and prediction with regularized regression in Stata [PDF]

open access: yes, 2019
This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS.
Athey S.   +6 more
core   +2 more sources

Relaxed Lasso

open access: yesComputational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Substrate Matters: Ionic Silver Alters Lettuce Growth, Nutrient Uptake, and Root Microbiome in a Hydroponics System

open access: yesMicroorganisms
Ionic silver (Ag+) is being investigated as a residual biocide for use in NASA spacecraft potable water systems on future crewed missions. This water will be used to irrigate future spaceflight crop production systems.
LaShelle Spencer   +11 more
doaj   +1 more source

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