Scholar
David Tyler Frazier
Google Scholar ID: 7PlczFsAAAAJ
Monash University, Department of Econometrics and Business Statistics
Citations & Impact
Citations
2,284
H-index
20
i10-index
31
Publications
20
Co-authors
22
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several key papers including 'Indirect Inference with a Non-Smooth Criterion Function', 'Indirect Inference With(Out) Constraints', 'Robust Approximate Bayesian Inference with Synthetic Likelihood' among others, contributing significantly to the field of indirect inference and ABC.
Research Experience
- Serves as an Associate Professor at Monash University, focusing on statistical theory and inference, computational statistics, simulation-based inference, and approximate Bayesian methods.
Education
- PhD in Economics with a concentration in Econometrics and Statistics from the University of North Carolina at Chapel Hill (UNC-CH) in 2014.
Background
- An ARC DECRA Fellow and Associate Professor in Econometrics and Business Statistics at Monash University, working across econometrics and statistics. His research interests are broad but primarily focused on simulation-based inference, including significant contributions to indirect inference and approximate Bayesian computation (ABC). Most recently, his work has concentrated on the critical issue of model misspecification within simulation-based inference and forecasting.
Miscellany
- Contact: Phone +610399052973; Available for appointment. Can be reached through the contact form on his website.
