quantile regression
PulseAugur coverage of quantile regression — every cluster mentioning quantile regression across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New two-step Metropolis-Hastings algorithm enhances Bayesian empirical likelihood methods
Researchers have developed a novel two-step Metropolis-Hastings algorithm designed to improve the efficiency of Markov chain Monte Carlo (MCMC) sampling for Bayesian empirical likelihood (BayesEL) methods. This new appr…
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New methods advance uncertainty quantification in machine learning · 5 sources tracked
Researchers have introduced new methods for evaluating uncertainty quantification (UQ) in machine learning models. One approach, termed "decision-alignment," aims to ensure that UQ metrics meaningfully correlate with do…
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New SVM framework enhances quantile regression for heavy-tailed data
Researchers have developed a new Support Vector Machine (SVM) framework to improve quantile regression for datasets with heavy-tailed inputs. This approach focuses on the angular components of extreme observations to en…