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A list of all the podcasts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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notes
250 Notes
2020
Personal notes from the 250 sequence of classes at UCLA. Notes cover linear algebra, quadratic forms, linear regression, hypothesis testing, inference, optimal design, shrinkage estimators, ANOVA, linear mixed effects models, Gaussian graphical models, and Bayesian regression. Notes
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Bayesian Functional Partial Membership Models
Published:
We propose a model which allows for each observation to partially belong to multiple clusters. In this model, we assume that each observation is functional. We assume an additive model with respect to the cluster membership. In order to reduce the number of parameters, we use a covariance function that is inspired by Multivariate Functional Principal Component Analysis.