Kimberly Sellers

Kundu, S., Mazzuchi, T., Sellers, K. F., & Soyer, R. (2025, January). Foreword Special Issue on New Frontiers in Reliability and Risk Analysis: A Tribute to Nozer Darabsha Singpurwalla. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, Vol. 41. https://doi.org/10.1002/asmb.70000

Sellers, K. F., & Booker, J. M. (2025). Probability and Fuzzy Working in Concert-Honoring the Reliability Contributions of Nozer D. Singpurwalla. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 41(1). https://doi.org/10.1002/asmb.2918

De Jesus, M., Sullivan, N., Hopman, W., Martinez, A., Glenn, P. D., II, Msopa, S., … Jackson, M. C. (2023). Examining the Role of Quality of Institutionalized Healthcare on Maternal Mortality in the Dominican Republic. International Journal of Environmental Research and Public Health, 20(14), 6413. https://doi.org/10.3390/ijerph20146413

Meyer, M. J., Graye, A., & Sellers, K. F. (2024). On Non- and Weakly-Informative Priors for the Conway-Maxwell-Poisson (COM-Poisson) Distribution (ArXiv Preprint No. 2311.18053). https://doi.org/10.48550/arXiv.2311.18053

Sellers, K. F. (2023). The Conway–Maxwell–Poisson Distribution. https://doi.org/10.1017/9781108646437

Morris, D. S., & Sellers, K. F. (2022). A Flexible Mixed Model for Clustered Count Data. Stats, 5(1), 52–69. https://doi.org/10.3390/stats5010004

Gamerman, V., Kolassa, J., Li, J. Z., Natanegara, F., Sellers, K., Talwai, A., & Zou, K. H. (2022, February). A Recap of an ICSA 2021 Panel: Statistics and Data Science Partnerships and Collaborations across Sectors". Amstat News.

Gamerman, V., Kolassa, J., Li, J. Z., Natanegara, F., Sellers, K., Talwai, A., & Zou, K. H. (2022, January). A Recap of an ICSA 2021 Panel: Statistics and Data Science Partnerships and Collaborations across Sectors". Amstat News.

Sellers, K. F., Li, T., Wu, Y., & Balakrishnan, N. (2021). A Flexible Multivariate Distribution for Correlated Count Data. Stats, 4(2), 308–326. https://doi.org/10.3390/stats4020021

Weems, K. S., Sellers, K. F., & Li, T. (2021). A flexible bivariate distribution for count data expressing data dispersion. Communications in Statistics - Theory and Methods, 52(13), 4692–4718. https://doi.org/10.1080/03610926.2021.1999474

Arora, M., Rao Chaganty, N., & Sellers, K. F. (2021). A flexible regression model for zero- and<i>k</i>-inflated count data. Journal of Statistical Computation and Simulation, 91(9), 1815–1845. https://doi.org/10.1080/00949655.2021.1872077

Sellers, K. F., Arab, A., Melville, S., & Cui, F. (2021). A flexible univariate moving average time-series model for dispersed count data. Journal of Statistical Distributions and Applications, 8(1). https://doi.org/10.1186/s40488-021-00115-2

Sellers, K. F. (2021, October). The JEDI Corner: How to Help Advocate for Justice, Equity, Diversity, and Inclusion". Amstat News.

Morris, D. S., Raim, A. M., & Sellers, K. F. (2020). A Conway–Maxwell-multinomial distribution for flexible modeling of clustered categorical data. Journal of Multivariate Analysis, 179, 104651. https://doi.org/10.1016/j.jmva.2020.104651

Sellers, K. F., & Premeaux, B. (2020). Conway–Maxwell–Poisson</scp>regression models for dispersed count data. WIREs Computational Statistics, 13(6). https://doi.org/10.1002/wics.1533

Sellers, K. F., Peng, S. J., & Arab, A. (2020). A Flexible Univariate Autoregressive Time‐Series Model for Dispersed Count Data. Journal of Time Series Analysis. https://doi.org/10.1111/jtsa.12516

Sellers, K. F., & Young, D. S. (2019). Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression. Journal of Statistical Computation and Simulation, 89(9), 1649–1673. https://doi.org/10.1080/00949655.2019.1590580

Sellers, K. F., Swift, A. W., & Weems, K. S. (2017). A flexible distribution class for count data. Journal of Statistical Distributions and Applications, 4(1). https://doi.org/10.1186/s40488-017-0077-0

Sellers, K. F., Benn, E. K. T., Garcia, M., & Kellam, M. (2017). Addressing Implicit Bias Among Women Statisticians and Data Scientists. CHANCE, 30(2), 38–41. https://doi.org/10.1080/09332480.2017.1320477

Sellers, K. F., & Morris, D. S. (2017). Underdispersion models: Models that are “under the radar.” Communications in Statistics - Theory and Methods, 46(24), 12075–12086. https://doi.org/10.1080/03610926.2017.1291976

Sellers, K. F., & Raim, A. (2016). A flexible zero-inflated model to address data dispersion. Computational Statistics & Data Analysis, 99, 68–80. https://doi.org/10.1016/j.csda.2016.01.007

Sellers, K. F., Morris, D. S., & Balakrishnan, N. (2016). Bivariate Conway–Maxwell–Poisson distribution: Formulation, properties, and inference. Journal of Multivariate Analysis, 150, 152–168. https://doi.org/10.1016/j.jmva.2016.04.007

Veach, E., Xique, I., Johnson, J., Lyle, J., Almodovar, I., Sellers, K. F., … Jackson, M. C. (2014). Race Matters: Analyzing the Relationship between Colorectal Cancer Mortality Rates and Various Factors within Respective Racial Groups. Frontiers in Public Health, 2. https://doi.org/10.3389/fpubh.2014.00239

Miecznikowski, J. C., Sellers, K. F., & Eddy, W. F. (2012). Multidimensional Median Filters for Finding Bumps in Chemical Sensor Datasets. Journal of Sensor Technology, 02(01), 23–37. https://doi.org/10.4236/jst.2012.21005

Sellers, K. F., Borle, S., & Shmueli, G. (2012). Rejoinder: The COM‐Poisson Model for count data: A survey of methods and applications. Applied Stochastic Models in Business and Industry, 28(2), 128–129. https://doi.org/10.1002/asmb.1923

Sellers, K. F., Borle, S., & Shmueli, G. (2011). The COM‐Poisson model for count data: a survey of methods and applications. Applied Stochastic Models in Business and Industry, 28(2), 104–116. https://doi.org/10.1002/asmb.918

Jackson, M. C., Trotman, A., Stephens, M., & Sellers, K. F. (2011). The effect of latency variables on repeated measures inference applied to the measurement of risk-taking as a function of psychopathy. Quality & Quantity, 47(1), 15–26. https://doi.org/10.1007/s11135-011-9475-4

Miecznikowski, J. C., Damodaran, S., Sellers, K. F., & Rabin, R. A. (2010). A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data. Proteome Science, 8(1), 66. https://doi.org/10.1186/1477-5956-8-66

Sellers, K. F., & Miecznikowski, J. C. (2010). Feature Detection Techniques for Preprocessing Proteomic Data. International Journal of Biomedical Imaging, 2010(1), 1–9. https://doi.org/10.1155/2010/896718

Jackson, M. C., Johansen, L., Furlong, C., Colson, A., & Sellers, K. F. (2010). Modelling the effect of climate change on prevalence of malaria in western Africa. Statistica Neerlandica, 64(4), 388–400. https://doi.org/10.1111/j.1467-9574.2010.00453.x

Paez, G. L., Zangerl, B., Sellers, K., Acland, G. M., & Aguirre, G. D. (2008). Characterization of Gene Expression Profiles of Normal Canine Retina and Brain Using a Retinal cDNA Microarray. In Advances in Experimental Medicine and Biology (pp. 179–184). https://doi.org/10.1007/978-0-387-74904-4_20