## … using Stan & HMC

Here, I sample from an Ising-like model (I treat the random variables as continuous, between -1 and 1 and add a term to the pseudo-likelihood that resembles a beta log density).

The matrix terms are essentially a vectorised product-sum of nearest neighbour spins.

Results:

## 2019

### Efficient Gaussian Process Computation

I’ll try to give examples of efficient gaussian process computation here, like the vec trick (Kronecker product trick), efficient toeliptz and circulant matrix computations, RTS smoothing and Kalman filtering using state space representations, and so on.

### Random Projects

# Random Projects

### Gaussian Process Middle C

First of my experiments on audio modelling using gaussian processes. Here, I construct a GP that, when sampled, plays middle c the way a grand piano would.

### An Ising-Like Model

## … using Stan & HMC

### Sparse Gaussian Process Examples

## A Minimal Working Example

### Random Stuff

## Random Stuff

### Stochastic Bernoulli Probabilities

Consider: