Hi! My name is Miguel Biron Lattes. I am a PhD candidate in the Department of Statistics at UBC Vancouver, under the supervision of Alexandre Bouchard-Côté and Trevor Campbell. Previously, I was a financial stability analyst at the Superintendency of Banks and Financial Institutions of Chile (SBIF). Before that, I completed a masters degree in statistics at Columbia University. Prior to that, I worked as a financial engineering analyst at CLGroup Financial Services Consulting in Santiago. I obtained my B.Eng.Sc in Industrial Engineering from the University of Chile. For more information, take a look at my CV.
I am interested in mathematical, statistical and computational methods that help us understand and interact with complex phenomena in the real world. By leveraging these methods we can build models of these systems which we can later use to inform decision making and other relevant processes. To these end, I have recently focused my attention on Bayesian methodology, because it combines powerful and expressive models with the ability to quantify the uncertainty in them. Some specific research interest are
- Design and analysis of Markov chain Monte Carlo (MCMC) algorithms
- Regenerative MCMC methods
- Tempering for sampling from intractable distributions
- Pseudo-marginal inference
Pre-prints
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
Biron-Lattes, M., Surjanovic, N., Syed, S., Campbell, T., & Bouchard-Côté, A.
[code] :: [arXiv] :: [Pigeons implementation]
Automatic Regenerative Simulation via Non-Reversible Simulated Tempering
Biron-Lattes, M., Campbell, T., & Bouchard-Côté, A.
[code] :: [arXiv] :: [IRSA2023-slides]
Pigeons.jl: Distributed sampling from intractable distributions
Surjanovic, N., Biron-Lattes, M., Tiede, P., Syed, S., Campbell, T., & Bouchard-Côté, A.
[code] :: [arXiv] :: [slides]
Publications
Biron-Lattes, M., Bouchard-Côté, A., & Campbell, T. (2023). Pseudo-marginal inference for CTMCs on infinite spaces via monotonic likelihood approximations. Journal of Computational and Graphical Statistics, 32(2), 513-527.
[Paper] :: [arXiv] :: [IMS2022-slides] :: [ISBA2021-slides] :: [ISBA2021-video]
Biron, M., Córdova, F., & Lemus, A. (2019) Banks’ business model and credit supply in Chile: the role of a state-owned bank. BIS Working Paper No 800.
[Working paper]
Biron, M., & Bravo, C. On the discriminative power of credit scoring systems trained on independent samples. In Data Analysis, Machine Learning and Knowledge Discovery (pp. 247-254). Springer International Publishing.
[Book chapter]