Maryclare Griffin
Assistant Professor
University of Massachusetts Amherst
Department of Mathematics and Statistics
maryclaregri@umass.edu
CV
News
- 01/10/25: “Likelihood Inference for Possibly Non-Stationary Processes via Adaptive Overdifferencing”, a paper about how to practically use long memory (ARFIMA/FARIMA) time series models has been accepted for publication at Technometrics!
- 08/03/24: “Review and Demonstration of a Mixture Representation for Simulation from Densities Involving Sums of Powers”, a technical note about posterior simulation for prior distributions that correspond to power or bridge penalties using gradient-based Markov Chain Monte Carlo methods is online!
- 12/22/23: “A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models”, a paper about interpreting black-box machine learning models with Emily Winn-Nuñez and Lorin Crawford, has been accepted for publication at Computational Statistics and Data Analysis!
About Me
I joined the Department of Mathematics and Statistics at the University of Massachusetts Amherst as an assistant professor in Fall 2019! I grew up in Massachusetts, went to college at the University of Chicago, spent the first three years of graduate school in Seattle and the last two in Durham, North Carolina, and did a postdoc at Cornell in the Center for Applied Mathematics. I received my Ph.D. in Statistics from the University of Washington in 2018 under the supervision of Peter Hoff. After that, David Matteson and Gennady Samorodnitsky tried their best to teach me all about time series!
Interests
Chasing my barking hounds and finding new pizzas to eat.