W. Cipolli and T. Hanson, “Supervised learning via smoothed Polya trees.” Submitted to Advances in Data Analysis and Classification, 2018.
 A. Robertson W. Cipolli and M. Dascalu, “On the distribution of monochromatic complete subgraphs and arithmetic progressions.” Submitted to Experimental Math, 2018.
 R. Bower, J. Hussey, J. Zhang, J. Quattro, M. Muhling, W. Cipolli, and J. Hardin, “The score test for independence of two marginal Poisson variables.” Submitted to Communications in Statistics - Case Studies and Data Analysis, 2018.
 R. Bower, J. Hussey, J. Zhang, J. Quattro, W. Cipolli, and J. Hardin, “A copula approach for testing independence using Poisson cumulative distribution functions.” Accepted at Communications in Statistics - Case Studies and Data Analysis, 2018.
 A. Jimenez, J. Winward , U. Beattie and W. Cipolli, “Cellular metabolism and oxidative stress as a possible determinant for longevity in small breed and large breed dogs.” Under revision with PLOS ONE., 2018.
 D. M. Silva, R. Bower and W. Cipolli, “In search of a five-star: The centrality of body
discourses in the scouting of high school football athletes.” 2017.
 E. Cooley, B. Payne, W. Cipolli, C. Cameron, A. Berger, and K. Gray, “The paradox of group mind: “people in a group" have more mind than “a group of people",” Journal of
Experimental Psychology: General, vol. 146, pp. 1691–699, May 2017.
 K. Flory, B. A. Bell, K. Burgess, E. R. Siceloff, W. Cipolli, and R. Bower, “Bifactor models of the strengths and difficulties questionnaire in a large U.S. community sample,” Presented at the annual meeting of the American Psychological Association, Denver, CO, 2016.
 W. Cipolli and T. Hanson, “Computationally tractable approximate and smoothed Polya trees,” Statistics and Computing, pp. 1–13, April 2016.
 W. Cipolli, T. Hanson, and A. McLain, “Bayesian nonparametric multiple testing,”
Computational Statistics and Data Analysis, vol. 101, pp. 64–79, September 2016.
 J. Fowler, W. Cipolli, and T. Hanson, “A comparison of three diagnostic tests for diagnosis of carpal tunnel syndrome using latent class analysis,” Journal of Bone & Joint Surgery, vol. 97, pp. 1958–1961, December 2015.