Results 21 to 30 of about 137,972 (308)

Lasso

, 2011
[ES] Definición del término Lasso en el diccionario Dicter.
core   +3 more sources

Pairwise Fused Lasso [PDF]

, 2011
In the last decade several estimators have been proposed that enforce the grouping property. A regularized estimate exhibits the grouping property if it selects groups of highly correlated predictor rather than selecting one representative.
Petry, Sebastian, Tutz, Gerhard, Flexeder, Claudia   +2 more
core   +1 more source

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

Frontiers 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, Wan-Yu Lin, Yu-Shun Lin, Chang-Chuan Chan, Chang-Chuan Chan, Yu-Li Liu, Shih-Jen Tsai, Shih-Jen Tsai, Shih-Jen Tsai, Po-Hsiu Kuo, Po-Hsiu Kuo   +10 more
doaj   +1 more source

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

Algorithms, 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, Caston Sigauke, Alphonce Bere   +2 more
doaj   +1 more source

Fast identification of biological pathways associated with a quantitative trait using group lasso with overlaps. [PDF]

, 2012
Where causal SNPs (single nucleotide polymorphisms) tend to accumulate within biological pathways, the incorporation of prior pathways information into a statistical model is expected to increase the power to detect true associations in a genetic ...
Alzheimer's Disease Neuroimaging Initiative, Silver, Matt, Montana, Giovanni   +2 more
core   +1 more source

Regularized Ordinal Regression and the ordinalNet R Package

Journal 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, Paul J. Rathouz, Bret M. Hanlon   +2 more
doaj   +1 more source

Feature Selection Guided by Structural Information [PDF]

, 2009
In generalized linear regression problems with an abundant number of features, lasso-type regularization which imposes an l1-constraint on the regression coefficients has become a widely established technique.
Wolfgang zu Castell, Gerhard Tutz, Tutz, Gerhard, zu Castell, W., Slawski, Martin, Tutz, G., Castell, Wolfgang zu, Slawski, M., Martin Slawski, zu Castell, Wolfgang   +9 more
core   +1 more source

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

Geosciences, 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, Igor Grigoryev, Alexander Novikov   +2 more
doaj   +1 more source

A Pliable Lasso

Journal of Computational and Graphical Statistics, 2019
We propose a generalization of the lasso that allows the model coefficients to vary as a function of a general set of some prespecified modifying variables. These modifiers might be variables such as gender, age, or time. The paradigm is quite general, with each lasso coefficient modified by a sparse linear function of the modifying variables Z.
Tibshirani, Robert, Friedman, Jerome
openaire   +3 more sources

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

Frontiers 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, Sean M. Smith, John S. Gunn, John S. Gunn, Marek Petrik, Mark J. Ducey, Thomas S. Buchholz, Thomas S. Buchholz, Ethan P. Belair   +8 more
doaj   +1 more source