Approximating Integrals with Importance Sampling
Short blurb on approximating integrals with importance samplingGaussian Noise and Mean Squared Error
Parameter estimation in linear regression from 2 perspectives.Bayesian Hierarchical Classification in Numpyro
In this post I use Numpyro to build a Bayesian hierarchical model to classify Amazon products into a taxonomy.Hierarchical Models in Numpyro
Exploring pooling and hierarchical models with Numpyro by estimating the free throw percentage of NBA playersGaussian Processes and Regression
A explanation of Gaussian processes and Gaussian process regression, starting with simple intuition and building up to inference. I sample from a GP in native Python and test GPyTorch on a simple simulated example.Dealing with Overconfidence in Neural Networks: Bayesian Approach
I trained a classifier on images of animals and gave it an image of myself, it's 98% confident I'm a dog. This is an exploration of a possible Bayesian fix. Code available tooNotes on the Beta and Dirichlet Distributions
The Beta and Dirichlet distributions are related to each other in a similar way to the Binomial and Multinomial distributions. This post explains the relationship between these 4 distributions using a simple example and some code.Bayesian Changepoint Detection of COVID-19 Cases in Pyro
Used Pyro and a Bayesian changepoint model to detect the date that COVID-19 cases started to flattern in different countries.
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