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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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BNP prior series: From Gaussian Process to Gaussian Markov Random Field: many GP related models applied to Albeto data
Published:
In this post, I will review class projects in STAT 245 Spatial Statistics. The main models include stationary Gaussian Processes Bayesian inference, Predictive Gaussian Process, and finally Gaussian Markov Random Field. The goal is to highlight model properties, implementation details, and present some real data analysis with these three models applied to the Albedo satellite data in North America.
Accounting for customers’ death: a Bayesian hiearchical extension to the Pareto/NBD churn model
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BNP prior series: Dirichlet Process
Published:
This post will focus on the theory of DP, Dirichlet Process Mixture Model, and Spatial Dirichlet Process. The goal is to synthesize the results obtained through independent studies on BNP methods with Prof. Kottas.
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TA Fall2019 STAT 204
Graudate core course, UCSC, Statistics, 2019