Modified sparse regression to solve heterogeneity and hybrid models for increasing the prediction accuracy of seaweed big data with outliers. [PDF]
Sci RepIbidoja OJ, Shan FP, Ali MKM.
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Exploring an EM-algorithm for banded regression in computational neuroscience. [PDF]
Imaging Neurosci (Camb)Fuglsang SA +4 more
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Benchmarking Feature Selection Methods and Prediction Models for Flowering Time Prediction in Maize. [PDF]
Int J Mol SciDu Y +7 more
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Machine learning-based prediction of preterm birth risk using methylation changes in neonatal cord blood CpG sites. [PDF]
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Outcome adaptive propensity score methods for handling censoring and high-dimensionality: Application to insurance claims. [PDF]
Stat Methods Med ResDu J +5 more
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Variable Selection via Fused Sparse-Group Lasso Penalized Multi-state Models Incorporating Molecular Data. [PDF]
Biom JMiah K +4 more
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Random-effects psychophysics for studying individual differences in perception and cognition. [PDF]
Psychon Bull RevRouder JN, Mehrvarz M.
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Omics feature selection with the extended SIS R package: identification of a body mass index epigenetic multimarker in the Strong Heart Study. [PDF]
Am J EpidemiolDomingo-Relloso A +7 more
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A Commentary on Chatterjee Et Al. (2018): A Corrected Framework for Group Sparsity in Zero-Inflated Negative Binomial Models. [PDF]
Stat MedIqbal A, Mallick H, Ogundimu EO.
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