Un garçon pas comme les autres (Bayes)

Random C++ Part 2: Sparse partial inverses in Eigen

Random C++ Part 1: Building a block sparse matrix in Eigen

An unexpected detour into partially symbolic, sparsity-expoiting autodiff; or Lord won’t you buy me a Laplace approximation

Diffusion models; or Yet another way to sample from an arbitrary distribution

Markovian Gaussian processes: A lot of theory and some practical stuff

Sparse matrices part 7a: Another shot at JAX-ing the Cholesky decomposition

MCMC with the wrong acceptance probability

On that example of Robins and Ritov; or A sleeping dog in harbor is safe, but that’s not what sleeping dogs are for

Priors for the parameters in a Gaussian process

A first look at multilevel regression; or Everybody’s got something to hide except me and my macaques

Priors part 4: Specifying priors that appropriately penalise complexity

Tail stabilization of importance sampling etimators: A bit of theory

Sparse matrices 6: To catch a derivative, first you’ve got to think like a derivative

Sparse Matrices 5: I bind you Nancy

Sparse Matrices 4: Design is my passion

Sparse Matrices 3: Failing at JAX

Sparse Matrices 2: An invitation to a sparse Cholesky factorisation

Sparse Matrices 1: The linear algebra of linear mixed effects models and their generalisations

Barry Gibb came fourth in a Barry Gibb look alike contest (Repost)

Why won’t you cheat with me? (Repost)