Students Research
Aditi Singh, 3rd Prize in Spring 2020 ASA Undergraduate Statistics Research Project Competition, Assessing the similarity of countries’ COVID-19 experiences via time-series clustering.
Mark Raney, 2022 Anderson Science Summer Research Scholar, Assessing the similarity of countries’ COVID-19 experiences via time-series clustering.
Riley Coburn, 2022 Anderson Science Summer Research Scholar, Change Point Detection with Dynamic Linear Modeling on COVID-19 Time Series Data.
Yuhan Fu, 2022 Denison University Research Fundation, Bayesian Online Changepoint Detection on COVID-19 Data
and Policy Analysis.
Conference Presentation
2022 Women in Statistics and Data Science, Latent Class and Latent Transition Analysis: A Guide to Practice.
2022 Denison Science Association Talk, How many participants do I need.
2021 New England Statistical Symposium, Ramp Detection Methods for Renewable Energy Integration.
2021 Upstate New York Statistics Conference, Minimum Risk Point Estimation for the Mean of a Normal Population by Sampling in Groups.
Selected Publications
Wang, Z. and Peña, M., Offline and Online Ramp Events Detection Methods. In Progress.
Mukhopadhyay, N. and Wang, Z., Purely sequential estimation problems for the mean of a normal population by sampling in groups under permutations within each group and illustrations. Sequential Analysis, In Press
Wang, Z., 2020. Sequential Estimation Methodologies with Observations Gathered in Groups: Theory, Practice and Data Analysis.
Mukhopadhyay, N. and Wang, Z., 2020. Purely sequential FWCI and MRPE problems for the mean of a normal population by sampling in groups with illustrations using breast cancer data. Sequential Analysis, 39(2), pp.176-213.
Mukhopadhyay, N. and Wang, Z., 2019. A general theory of purely sequential minimum risk point estimation (MRPE) of a function of the mean in a normal distribution. Sequential Analysis, 38(4), pp.480-502.