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Statistics in Agricultural Systems and Natural Resources

Statistics in agricultural systems and natural resources includes research in areas such as environmental, spatial, spatiotemporal, plant, animal, microbe, meta-genomics, and collaborative statistics.

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Computational Statistics

Computational statistics includes research in areas such as temporal data analysis and decisions, image processing and analysis, artificial intelligence and deep learning, and visualization.

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Preparing Future Statisticians

Preparing future statisticians includes research in areas such as statistics education, online instruction, and consulting.

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Theory and Methods

Theory and methods includes research in areas such as sequential analysis, predictive statistics, Bayes theory, and group testing.

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Joint Ph.D. Degree Programs

The Department of Statistics has joint PhD degree programs with Agricultural Economics, Agronomy & Horticulture, Animal Science, Economics, and Natural Resources.

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