Applied Mathematics Seminar: MCMC or: how I learned to stop worrying and love randomness

Speaker: Luis Gordillo, Associate Professor, Department of Math & Statistics, USU
ZOOM ID: 945 1753 3441 PWD: USUAMS

Abstract: Markov Chain Monte Carlo (MCMC) is a useful computer-intensive tool that has received lots of attention. By using MCMC ideas it is possible to write algorithms for sampling from complicated target distributions. In this talk, aimed at undergraduate and graduate students, I will present the main ideas of MCMC and show examples of how the techniques can be used to solve some difficult problems, including the inference of parameters in stochastic epidemic models of the SIR type.

When

Friday, December 04, 2020 | 3:30 pm - 4:30 pm

Where

3900 Old Main Hill Animal Science 108

Event Type

Conference/Seminar

Department

Mathematics and Statistics

Target Audience

Students,Faculty

Website

https://usu-edu.zoom.us/j/94517533441?pwd=K1NPTWxsbTN3OVVsRTUwb25sQlludz09

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Event Contact

Name: Jia Zhao
Phone: 4357971953
Email: jia.zhao@usu.edu

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