Bayesian
7 posts
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INLA Part 1: Just keep approximating until you get the thing you want
Deriving the central results required to understand INLA, and getting us ready to implement it for some model building in later posts
- bayesian
- inla
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Online Bayesian Learning Part 4: Non-stationary data and R-VGA
Adapting R-VGA to work in non-stationary environments.
- bayesian
- neural-networks
- r-vga
- non-stationary
- adaptive-learning
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Online Bayesian Learning Part 3: R-VGA
Deriving and implementing the R-VGA algorithm for online learning with neural networks on streaming binary classification data
- bayesian
- neural-networks
- variational-inference
- jax
- equinox
- online
- r-vga
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Online Bayesian Learning Part 2: Bayesian Neural Networks With Variational Inference
A quick detour to introduce variational inference and use it to train a small Bayesian neural network with jax/eqx
- bayesian
- neural-networks
- variational-inference
- jax
- equinox
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Online Bayesian Learning Part 1: Exact recursive inference
Part 1 of a series of posts looking into the problem of 'online' learning using Bayesian methods
- bayesian
- neural-networks
- variational-inference
- jax
- equinox
- online
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Bayesian climbing grades
Bayesian hierarchical model to analyze route setter bias in climbing grades. Uses PyMC to estimate 'true' difficulty accounting for setter variations.
- bayesian
- climbing
- pymc
- statistics
- hierarchical-modeling
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Cubic Spline Expansions with Logistic Regression
Flexible non-linear regression using cubic spline basis functions. Bayesian approach with PyMC for smooth curve fitting and uncertainty quantification.
- splines
- regression
- bayesian
- pymc
- statistics