Subdata Selection Methods. Seminar (online), Otto-von-Guericke Universität Magdeburg, Germany, July 9, 2020.
Professional Development. Seminar for the REU Program (online), Department of Mathematics and Statistics, University of North Carolina Greensboro, June 1, 2020.
Subdata Selection Methods. Computational and Methodological Statistics (CMStatistics), University of London, UK, December 14-16, 2019.
Augmenting Definitive Screening Designs. 17th Workshop on Quality Improvement Methods, Dortmund, Germany, June 14-15, 2019.
Subdata Selection. Seminar, Department of Statistics, University of California Riverside, March 5, 2019.
Subdata Selection. Seminar, Department of Mathematics and Statistics, University of North Carolina Greensboro, February 28, 2019.
Subdata Selection. Seminar, Universidad de Almería, Almería, Spain, February 15, 2019.
Subdata Selection. Seminar, Universidad de Castilla-La Mancha, Ciudad Real, Spain, February 14, 2019.
Subdata Selection. Seminar, Universidad de Salamanca, Salamanca, Spain, February 11, 2019.
Information-Based Optimal Subdata Selection. Congreso Bienal de la Real Sociedad Matemática Española, Santander, Spain, February 4-8, 2019.
Too Much Data! Seminar, Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, January 23, 2019.
Too Much Data! Seminar, Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada, January 4, 2019.
Information-Based Optimal Subdata Selection. International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC), Greensboro, NC, October 5-7, 2018.
Information-Based Optimal Subdata Selection. Joint Statistical Meetings (JSM) 2018, Vancouver, BC, Canada, July 28 - August 2, 2018.
Optimal Designs for Mixed Effects Models. The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting, National University of Singapore, Singapore, June 26-29, 2018.
Optimal Designs for Mixed Effects Models. The 2nd International Conference on Econometrics and Statistics (EcoSta), Hong Kong, June 19-21, 2018.
Information-based optimal subdata selection. At the conference Design of Experiments: New Challenges, Centre International de Rencontres Mathématiques, Marseille, France, April 30 - May 4, 2018.
Thoughts about optimal statistical design for environmental risk assessment. IASSL Conference 2017, Colombo, Sri Lanka, December 28-29, 2017.
Thoughts about optimal statistical design for environmental risk assessment. Seminar, Department of Statistics, University of Kentucky, November 10, 2017.
How relevant are we? Latest Advances in the Theory and Applications of Design and Analysis of Experiments, Banff International Research Station, Banff, Canada, August 6-11, 2017.
Thoughts about optimal statistical design for environmental risk assessment. Joint Statistical Meetings, July 29 - August 3, 2017, Baltimore, Maryland. (Contributed; substitute speaker for Wanchunzi Yu.)
Information-Based Subdata Selection and Variable Selection. International Chinese Statistical Association Applied Statistics Symposium, Chicago, IL, June 25-28, 2017.
Thoughts about optimal statistical design for environmental risk assessment. The 1st International Conference on Econometrics and Statistics (EcoSta), Hong Kong, June 15-17, 2017.
Thoughts about optimal statistical design for environmental risk assessment. Spring Research Conference (SRC), New Brunswick, NJ, May 17-19, 2017.
Thoughts about optimal statistical design for environmental risk assessment. School of Mathematical and Natural Sciences, Arizona State University West Campus, April 20, 2017.
An Introduction to Design of Experiments, part 2. Seminar for the NSF RTG program, School of Mathematical and Statistical Sciences, Arizona State University, March 20, 2017.
An Introduction to Design of Experiments, part 1. Seminar for the NSF RTG program, School of Mathematical and Statistical Sciences, Arizona State University, March 13, 2017.
Optimal designs for GLMs with multiple covariates. Conference on Experimental Design and Analysis (CEDA), Academia Sinica, Taipei, Taiwan, December 15-17, 2016.
Optimal design and subdata selection for big data, part 2. Seminar for the NSF RTG program, School of Mathematical and Statistical Sciences, Arizona State University, November 14, 2016.
Optimal design and subdata selection for big data, part 1. Seminar for the NSF RTG program, School of Mathematical and Statistical Sciences, Arizona State University, November 7, 2016.
Optimal design and subdata selection for big data (plenary talk). International Conference on Statistical Distributions and Applications (ICOSDA), Niagara Falls, ON, Canada, October 14-16, 2016.
Optimal designs for GLMs with multiple covariates. International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC), Greensboro, NC, September 30 - October 2, 2016.
Optimal design and subdata selection for big data. 2016 International Indian Statistical Association Conference, Corvallis, OR, August 18-21, 2016.
Using fractional factorials to obtain efficient designs for certain generalized linear models. Joint Statistical Meetings, Chicago, IL, July 30 - August 4, 2016.
Design of Experiments: From Small Data to Big Data. Joint statistics seminar of the Technische Universität Dortmund and Ruhr-Universität Bochum, Dortmund, Germany, July 19, 2016.
Design of Experiments: From Small Data to Big Data. Seminar, Department of Statistics, University of Georgia, June 27, 2016.
Using fractional factorials to obtain efficient designs for certain generalized linear models. International Chinese Statistical Association Symposium, Atlanta, GA, June 12-16, 2016.
Using fractional factorials to obtain efficient designs for certain generalized linear models. 2016 Spring Research Conference (SRC), Illinois Institute of Technology, Chicago, IL, May 25-27, 2016.
Using fractional factorials to obtain efficient designs for certain generalized linear models. 2016 International Conference on Design of Experiments (ICODOE), Memphis, TN, May 10-13, 2016.
Design of Experiments: From Small Data to Big Data. Department of Biostatistics, University of Buffalo, April 21, 2016.
Design of Experiments: From Small Data to Big Data. Helen Barton Lecture Series in Computational Mathematics, Department of Mathematics and Statistics, University of North Carolina Greensboro, Greensboro, NC, March 28, 2016.