Statistics and Data Science
The collection’s primary function is to support research and teaching programs concerned with statistics as related to applied mathematics, not with statistics as a form of numeric information that may be found in a large number of fields.
Departments/disciplines/programs/subject areas supported
The Department of Statistics and Data Science has active research programs in statistical information theory, statistical genetics and bioinformatics, Bayesian methods, statistical computing, graphical methods, model selection, and asymptotics. Faculty and students are also active in collaborative research with other departments throughout the university, including computer science, biological sciences, social sciences, physical sciences, engineering, bioinformatics, economics and applied mathematics.
Many academic programs, such as Economics, Management, Political Science, Psychology, and Sociology, use statistical methodologies in their teaching and research and are supported by the collections. Other academic programs with considerable use of statistical techniques include Forestry & Environmental Studies, Law, Epidemiology & Public Health, Nursing, and Medicine.
Materials and formats collected generally
Collection of monographs (print or electronic) focuses on statistics in the social sciences, probabilities, mathematical statistics, and mathematical/theoretical statistics as well as in data analysis-related topics.
Also monographic series, journals (online preferred), online databases, conference proceedings, dictionaries and handbooks, encyclopedias.
Selection of materials focuses on English-language titles.
Chronological and geographical focus
Current research on an academic level is the primary focus.
Worldwide with concentrations in United States of America.
Collaborations within Yale
The Engineering & Applied Science Librarian focuses on titles in mathematical and theoretical statistics.
There is also collaboration and consultation with the librarians for the School of Management, Economics, Political Science, and Forestry and Environmental Studies.