More Models Improve COVID-19 Ensemble Forecasts
A study using data from the European COVID-19 Forecast Hub found that increasing the number of models in an ensemble ...
A study using data from the European COVID-19 Forecast Hub found that increasing the number of models in an ensemble ...
A new study demonstrates that combining waste wood dust and glass fiber in epoxy composites can reduce costs and carbon ...
Trasgu is a new open-source Python package that automates the exhaustive fitting of vine copulas using high-performance computing, enabling systematic ...
A pilot study finds that daily fluctuations in food cue reactivity predict energy intake among women with binge-eating disorder using ...
A retrospective analysis of official HYROX split records showed no clear association between running pacing metrics and overall race times ...
Researchers introduced the inverse Chris Jerry distribution, a one-parameter model whose density and hazard rate can take several shapes, and ...
University of Cincinnati Cancer Center researchers report that a hybrid statistical and deep learning survival model outperformed comparison models on ...
A statistical analysis of oral proficiency interviews shows that specific Japanese filler words, depending on their discourse functions, are linked ...
Researchers have developed MESMER-RCM, a probabilistic emulator that generates large ensembles of plausible regional climate model outputs at a fraction ...
A new joint mixture Tobit statistical model distinguishes true microbial absence from undetected low abundance, improving the detection of microbiome-disease ...
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© 2026 Scienmag - Science Magazine