Jonny Law is a data scientist at the National Innovation Centre for Data, working with local and national companies to allow them to make the most of their data. Previously he was a Statistics PhD student on the Cloud Computing for Big Data CDT. His primary research interest is in using functional programming for Bayesian Inference (often called probabilistic programming), using Scala.
- Bayesian Modelling
- Time series analysis
- Machine Learning
Bayesian State Space Model
git.io/dlm A Scala library for Dynamic Linear Models, with filtering and parameter inference algorithms
git.io/gaussianprocesses A Scala library for Gaussian Processes
Composable POMP Models
git.io/statespace A Scala library for online Bayesian filtering of univariate state space models, sometimes called POMP (Partially Observed Markov Process Models).