Hello, world. My research agenda is organized around three areas: macroeconomics, Bayesian statistics, and game theory. One line of my current research develops time and frequency-domain approaches to dynamic equilibrium models of expectations formation. Another line develops Markov chain Monte Carlo methods for estimating large-scale structural models. These tools are applied to study monetary and fiscal policy, asset prices, and social networks. Recently, I like to train Bayesian neural nets regularized by economic theory. My previous research studies the evolution of cooperative and altruistic human behavior.
Currently, I teach economics and statistics at Saint Louis University. Meanwhile, I work on competitive programming projects of data science. I am also a thematic investor for space economy and have rich experience in derivative trading.
Please send an email to me if you have any difficulty with links or downloads. Feel free to sponsor (preferably via Dogecoin) the open-source content of this homepage.
- 🔥 Fall 2024 course on neural networks 🔥
- Rocket Lab 50th Electron mission [6/20/24]
- Appetite for Treasuries, Debt Cycles, and Fiscal Inflation [PDF], manuscript, 2022
- Curriculum Vitae, Google Scholar
- Research Papers, Blog
- InterMicro, InterMacro, MoneyEcon, OpenEcon, BayesStat, NeuralNet
- Saint Louis University, Rocket Lab
© Copyright 2024 Fei Tan. Made on Earth by humans.
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