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X-ORIGINAL-URL:https://canssiontario.utoronto.ca/
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UID:MEC-534399ab7a0110c8822b1d08b4f8d1d4@canssiontario.utoronto.ca
DTSTART:20241112T203000Z
DTEND:20241112T213000Z
DTSTAMP:20240802T151800Z
CREATED:20240802
LAST-MODIFIED:20240925
SUMMARY:CAST Seminar: David Dahl
DESCRIPTION:\nJoin us at the CANSSI Ontario STatistics Seminars (CAST) with\n\n\n\nDr. David Dahl\n\n\n\nProfessor and ChairDepartment of StatisticsBrigham Young University\n\n\n\nFree Hybrid (On Line/In Person) Event | Registration Required\n\n\n\nTalk Title\n\n\n\nDependent Random Partitions by Shrinking Toward an Anchor\n\n\n\nAbstract\n\n\n\nAlthough exchangeable processes from Bayesian nonparametrics have been used as a generating mechanism for random partition models, we deviate from this paradigm to explicitly incorporate clustering information in the formulation of our random partition model. Our shrinkage partition distribution takes any partition distribution and shrinks its probability mass toward an anchor partition. We show how this provides a framework to model hierarchically-dependent and temporally-dependent random partitions. The shrinkage parameters control the degree of dependence, accommodating at its extremes both independence and complete equality. Since a priori knowledge of items may vary, our formulation allows the degree of shrinkage toward the anchor to be item-specific. Our random partition model has a tractable normalizing constant which allows for standard Markov chain Monte Carlo algorithms for posterior sampling. We prove intuitive theoretical properties for our distribution and compare it to related partition distributions. We show that our model provides better out-of-sample fit in a real data application.\n\n\n\nSpeaker Profile\n\n\n\nDavid B. Dahl’s research interests are Bayesian nonparametrics, model-based clustering, random partition models, statistical computing, and bioinformatics. His work has appeared in journals including the Journal of the American Statistical Association, Annals of Applied Statistics, Journal of Computational and Graphical Statistics, and Bayesian Analysis. He teaches both undergraduate and graduate classes, including Bayesian statistics, statistical methods, and statistical computing.\n\n\n\nDavid B. Dahl is Professor and Chair in the Department of Statistics at Brigham Young University. He started his academic career at Texas A&M University as an Assistant Professor in 2004, was promoted to an Associate Professor in 2010, and moved to BYU in 2012. He was promoted to Professor at BYU in 2015. He did doctoral work at the University of Wisconsin — Madison in the Department of Statistics and the Department of Biostatistics and Medical Informatics under the direction of Michael Newton, receiving his Ph.D. in 2004. He received B.S. and M.S. degrees from Brigham Young University in 1997 and 1998, working on his masters with Scott Grimshaw in the Department of Statistics. During 2007-2012, Dr. Dahl was an adjunct faculty member in the Division of Quantitative Sciences at the University of Texas, M.D. Anderson Cancer Center.\n
URL:https://canssiontario.utoronto.ca/event/cast-david-dahl/
ORGANIZER;CN=CANSSI Ontario:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:CANSSI Ontario Statistics Seminars
LOCATION:Michael DeGroote Centre for Learning and Discovery, 1280 Main St W, Hamilton, ON L8S 4K1
ATTACH;FMTTYPE=image/jpeg:https://canssiontario.utoronto.ca/wp-content/uploads/2024/08/Dahl-David-Calendar-scaled.jpg
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