Gaussian Processes for Cyclic Voltammetry
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Updated
Dec 5, 2020 - MATLAB
Gaussian Processes for Cyclic Voltammetry
Materials from the graduate course on Generalized Linear Models at SFU in Spring 2020
Regularization, Bayesian Model Selection and k-fold Cross-Validation Selection
A sampling-based implementation of the Bayesian model-selection method of Stephan et al. (2009) in NeuroImage.
This is a group project on predicting painting prices that were sold from 1764 to 1780. Based on our analysis, we identify undervalued/overvalued paintings in the dataset.
A hands-on guide to model selection, emphasizing high-dimensional problems, Bayesian model selection and averaging, and L0 criteria
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