Title: Zero-inflated modeling for continuous data
Speaker: Becky Tang, Assistant Professor of Statistics, Middlebury College
Abstract: A frequent challenge encountered with ecological data is how to interpret, analyze, or model data having a high proportion of zeros. Much attention has been given to zero-inflated count data, whereas models for non-negative continuous data with an abundance of zeros are much fewer. Using a Bayesian framework, we develop models for zero-inflated continuous data on the unit interval and on the positive real line.
https://www.stlawu.edu/math-computer-science-and-statistics/q-club