Results 21 to 30 of about 1,312,626 (282)
Robust Variable Selection with Exponential Squared Loss for the Spatial Error Model
Axioms, 2023 With the widespread application of spatial data in fields like econometrics and geographic information science, the methods to enhance the robustness of spatial econometric model estimation and variable selection have become a central focus of research ...
Shida Ma +3 more
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Adaptive Regression Analysis of Heterogeneous Data Streams via Models with Dynamic Effects
Mathematics, 2023 Streaming data sequences arise from various areas in the era of big data, and it is challenging to explore efficient online models that adapt to them. To address the potential heterogeneity, we introduce a new online estimation procedure to analyze the ...
Jianfeng Wei +4 more
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Catching Growth Determinants with the Adaptive Lasso [PDF]
German Economic Review, 2012 Abstract This paper uses the adaptive Lasso estimator to determine variables important for economic growth. The adaptive Lasso estimator is a computationally very efficient procedure that simultaneously performs model selection and parameter estimation.
Schneider, Ulrike, Wagner, Martin
openaire +7 more sources
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 +2 more
core +2 more sources
Indoor WLAN localization via adaptive Lasso Bayesian inference and convex optimization
Cogent Engineering, 2020 There has been growing interest in indoor positioning system technologies due to the important role of real-time indoor positioning services in modern technologies such as security services and emergency healthcare.
Osamah A. Abdullah +2 more
doaj +1 more source
Horticulturae, 2020 The level of agricultural productivity in Sub-Saharan Africa remains far below the global average. This is partly due to the scarce use of production- and process-enhancing technologies.
Jesse Steffens +2 more
doaj +1 more source
LASSO for streaming data with adaptative filtering
Statistics and Computing, 2022 Streaming data is ubiquitous in modern machine learning, and so the development of scalable algorithms to analyze this sort of information is a topic of current interest. On the other hand, the problem of l1-penalized least-square regression, commonly referred to as LASSO, is a quite popular data mining technique, which is commonly used for feature ...
Marco Capó +2 more
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Multi-task Highly Adaptive Lasso
CoRR, 2023 We propose a novel, fully nonparametric approach for the multi-task learning, the Multi-task Highly Adaptive Lasso (MT-HAL). MT-HAL simultaneously learns features, samples and task associations important for the common model, while imposing a shared sparse structure among similar tasks.
Ivana Malenica +5 more
openaire +2 more sources
Regularized estimation of large-scale gene association networks using graphical Gaussian models [PDF]
, 2009 Graphical Gaussian models are popular tools for the estimation of (undirected) gene association networks from microarray data. A key issue when the number of variables greatly exceeds the number of samples is the estimation of the matrix of partial ...
Schäfer, Juliane +10 more
core +1 more source
PLoS ONE, 2020 This paper presents a Bayesian analysis of linear mixed models for quantile regression based on a Cholesky decomposition for the covariance matrix of random effects.
Yonggang Ji, Haifang Shi
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