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Adaptive LASSO estimation for functional hidden dynamic geostatistical models
We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical...
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A non-negative spike-and-slab lasso generalized linear stacking prediction modeling method for high-dimensional omics data
BackgroundHigh-dimensional omics data are increasingly utilized in clinical and public health research for disease risk prediction. Many previous...
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Lower-to-upper secondary school transition: a Bayesian Lasso approach in data modelling
The determinants of transitioning from lower secondary to upper secondary school for Italian and immigrant teenagers (age range: 16–19) were...
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Exploring factors influencing farmers’ health self-assessment in China based on the LASSO method
As the main force and practice subject of rural revitalisation, farmers' health is intricately linked to agricultural production and the rural...
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Joint sparse least squares via generalized fused lasso penalty for identifying nonlinear dynamical systems
This paper proposes a joint sparse least-square model that utilizes a generalized fused lasso penalty to jointly identify governing equations of...
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Identification of exosomes-related lncRNAs in clear cell renal cell carcinoma based on Bayesian spike-and-slab lasso approach
Exosomes-related long non-coding RNAs (lncRNAs) have been reported to play significant roles in clear cell renal cell carcinoma (ccRCC). However,...
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Sliding Window Strategy for Convolutional Spike Sorting with Lasso
Spike sorting is a class of algorithms used in neuroscience to attribute the time occurrences of particular electric signals, called action potential...
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Robust LASSO and Its Applications in Healthcare Data
We address the development of a robust variable selection procedure using the density power divergence with the least absolute shrinkage and...
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What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from the Lasso Regularization and Inferential Techniques
The question of what really drives economic growth in sub-Saharan Africa (SSA) has been debated for many decades now. However, there is still a lack...
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Efficient Experimental Design for Lasso Regression
Lasso regression has attracted great attention in statistical learning and data science. However, there is sporadic work on constructing efficient...
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The lasso-loop technique is equivalent to the simple suture technique in arthroscopic anterior talofibular ligament repair
PurposeTo compare the clinical outcomes of the lasso-loop and simple suture techniques in arthroscopic anterior talofibular ligament (ATFL) repair...
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Structure of lasso peptide epimerase MslH reveals metal-dependent acid/base catalytic mechanism
The lasso peptide MS-271 is a ribosomally synthesized and post-translationally modified peptide (RiPP) consisting of 21 amino acids with D-tryptophan...
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Identifying the determinants of lapse rates in life insurance: an automated Lasso approach
Lapse risk is a key risk driver for life and pensions business with a material impact on the cash flow profile and the profitability. The application...
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Identification and verification of circRNA biomarkers for coronary artery disease based on WGCNA and the LASSO algorithm
BackgroundThe role of circular RNAs (circRNAs) as biomarkers of coronary artery disease (CAD) remains poorly explored. This study aimed to identify...
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Trace Lasso Regularization for Adaptive Sparse Canonical Correlation Analysis via Manifold Optimization Approach
Canonical correlation analysis (CCA) describes the relationship between two sets of variables by finding a linear combination that maximizes the...
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Bayesian Elastic-Net and Fused Lasso for Semiparametric Structural Equation Models: An Application in Understanding the Relationship Between Alcohol Morbidity and Other Substance Abuse Factors Among American Youth
In contemporary times, high-dimensional datasets have become increasingly prevalent, owing to the expansion and complexity of data collection...
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A novel self-weighted Lasso and its safe screening rule
Lasso is a popular method for high-dimensional applications in machine learning. In this paper, we propose a novel variant of Lasso, named...
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Dryland farming wheat yield prediction using the Lasso regression model and meteorological variables in dry and semi-dry region
The risk of climate change and international market fluctuations complicate crop production. Wheat is considered one of the most strategic products...
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A Dual Semismooth Newton Based Augmented Lagrangian Method for Large-Scale Linearly Constrained Sparse Group Square-Root Lasso Problems
Square-root Lasso problems have already be shown to be robust regression problems. Furthermore, square-root regression problems with structured...
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Generic error bounds for the generalized Lasso with sub-exponential data
This work performs a non-asymptotic analysis of the generalized Lasso under the assumption of sub-exponential data. Our main results continue recent...
