Office: Statistics Building 212
Phone: (970) 491-5762
Google Scholar: https://scholar.google.com/citations?user=l2KlptIAAAAJ&hl=en
- PhD Statistics, University of Michigan
My main area of research is estimation and inference in statistical models with inequality constraints. This includes non-parametric function estimation using constrained regression splines, density and hazard function estimation with shape constraints, models with order restrictions.
Estimation and inference of domain means subject to qualitative constraints. Survey Methodology.
cgam: An R Package for the Constrained Generalized Additive Model Journal of Statistical Software, 2019.
Checking Validity of Monotone Domain Mean Estimators Canadian Journal of Statistics, 2, 2019.
Estimation and inference in mixed effect regression models using shape constraints, with application to tree height estimation Journal of the Royal Statistical Society, Series C.
Probability and Mathematical Statistics: Theory, Applications, and Practice in R SIAM, 2019.
A Formal Method for Detecting and Describing Cultural Complexity: Extending Classical Consensus Analysis Field Methods, 3, 2018.
A Framework for Estimation and Inference in Generalized Additive Models with Shape and Order Restrictions STATISTICAL SCIENCE, 4, 2018.
Convergence rates for constrained regression splines JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2018.
Constrained Partial Linear Regression Splines Statistica Sinica, 2018.
Change-point estimation using shape-restricted regression splines JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2017.