Results 111 to 120 of about 1,312,626 (282)

Improving access to new technologies: An experiment with Kenyan input sellers

American Journal of Agricultural Economics, EarlyView.
Abstract Agrodealers play a critical role in rural economies, selling essential inputs for agricultural production, stocking new products, and providing farmers with technical advice. However, uncertainty can discourage them from stocking newer, less familiar products, limiting the availability of innovative technologies and leading to market failures ...
Sarah W. Kariuki, Francisca N. Muteti, Annemie Maertens, Michael Ndegwa, Hope Michelson, Mercy Mbugua, Jason Donovan   +6 more
wiley   +1 more source

Adaptive group LASSO selection in quantile models [PDF]

Statistical Papers, 2016
The paper considers a linear model with grouped explanatory variables. If the model errors are not with zero mean and bounded variance or if model contains outliers, then the least squares framework is not appropriate. Thus, the quantile regression is an interesting alternative.
openaire   +4 more sources

MODEL LAMA RAWAT INAP PASIEN COVID-19 MENGGUNAKAN REGRESI KUANTIL BAYESIAN DENGAN METODE LASSO DAN ADAPTIVE LASSO [PDF]

, 2022
Penelitian ini bertujuan untuk mengidentifikasi model terbaik dari data lama rawat inap pasien COVID-19 di Provinsi Sumatera Barat dengan menggunakan metode regresi kuantil Bayesian LASSO dan Adaptive LASSO.
Athifa, Salsabila Deva
core  

High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State

American Journal of Botany, EarlyView.
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording, Erik W. Ertsgaard, David E. Giblin, Iris H. Dimpsey, Owen B. Bard   +4 more
wiley   +1 more source

Adaptive LASSO estimation for functional hidden dynamic geostatistical models. [PDF]

Stoch Environ Res Risk Assess, 2023
Maranzano P, Otto P, Fassò A.
europepmc   +1 more source

Separation of the Linear and Nonlinear Covariates in the Sparse Semi-Parametric Regression Model in the Presence of Outliers

Mathematics
Determining the predictor variables that have a non-linear effect as well as those that have a linear effect on the response variable is crucial in additive semi-parametric models.
Morteza Amini, Mahdi Roozbeh, Nur Anisah Mohamed   +2 more
doaj   +1 more source

Nonparametric inverse-probability-weighted estimators based on the highly adaptive lasso. [PDF]

Biometrics, 2023
Ertefaie A, Hejazi NS, van der Laan MJ.
europepmc   +1 more source

Parametric programming-based approximate selective inference for adaptive lasso, adaptive elastic net and group lasso

Journal of Statistical Computation and Simulation
sponsorship: G.Claeskens acknowledges the support of the Research Foundation Flanders and KU Leuven Research Fund C1-project C16/20/002. (Research Foundation Flanders, KU Leuven Research Fund|C16/20/002)
Pirenne, Sarah, Claeskens, Gerda
openaire   +2 more sources

Directed regulatory edges identified by the adaptive lasso for S. cerevisiae cross.

, 2013
Directed regulatory edges identified by the adaptive lasso for S. cerevisiae cross.
Jason Mezey (168612), Benjamin A. Logsdon (178699)   +1 more
core   +1 more source

Seasonal weighted lag adaptive LASSO [PDF]

, 2017
O objetivo principal desse artigo é propor um novo tipo de penalidade LASSO com intuito de melhorar a performance de previsão fora da amostra para séries temporais em cenários de grande dimensionalidade.
Rangel, Lara Nassar
core   +1 more source