معرفی
John Cameron Zito is an Assistant Research Professor in the Department of Statistical Science at Duke University. His research specializes in Bayesian inference methodologies, with particular expertise in sequential Monte Carlo algorithms for complex time series models involving stochastic volatility.
Education:
- Ph.D., Rice University (2024)
- B.A., Kenyon College (2016)
Research Interests:
- Bayesian inference for vector autoregressions
- Stochastic volatility modeling
- Sequential Monte Carlo techniques
- Time series analysis frameworks
His publications focus on developing computationally efficient Bayesian methods for high-dimensional time series problems, particularly in econometric applications.
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