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"Environmental data science: Part 1" by Andrew Zammit-Mangion, Nathaniel K. Newlands et al.

Environmental data science is a multi-disciplinary and mature field of research at the interface of statistics, machine learning, information technology, climate and environmental science. The two-part special issue ‘Environmental Data Science’ comprises a set of research articles and opinion pieces led by statisticians who are at the forefront of the field. This editorial identifies and discusses common strands of research that appear in the contributions to Part 1, which largely focus on statistical methodology. These include temporal, spatial and spatio-temporal modeling; statistical computing; machine learning and artificial intelligence; and the critical question of decision-making in the presence of uncertainty. This editorial complements that of Part 2, which largely focuses on applications; see Burr, Newlands, and Zammit-Mangion (2023). ....

Environmental Data Science , Patio Temporal , Statistical Computing ,

Living Near a Major Road May be Associated with a Higher Risk of Atopic Dermatitis

Milwaukee, WI (PRWEB) February 15, 2023 Research being presented at the 2023 Annual Meeting of the American Academy of Allergy, Asthma & Immunology (AAAAI) ....

United States , San Antonio , Michaelz Nevid , Meeting Of The American Academy Allergy , American Academy Of Allergy , American Academy , Statistical Computing , Press Release ,

Living Near a Major Road May be Associated with a Higher Risk of Atopic Dermatitis

Living Near a Major Road May be Associated with a Higher Risk of Atopic Dermatitis
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