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Statistical models used in geophysical, environmental, and climate science applications must reflect the curvature of the spatial domain in global data. Over the past few decades, statisticians have ...

Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

GenAI models have revolutionized bioinformatics applications by learning from massive biological datasets, genomic sequences, protein structures, and single-cell transcriptomes, without requiring ...

The certificate will augment students’ learning while pursuing a Master’s or Ph.D. in a specific domain. Students in the certificate will develop deep technical skills in big data, statistical ...

What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...

Sumedha Gupta receives funding from National Institute of Health, National Pharmaceutical Council, and Fairbanks Foundation. More than 200 million U.S. residents have gotten at least one shot of a ...