Particle Filters
Discovering Hidden Variables in Noisy-Or Networks
Graphical models
Markov Chain Monte Carlo
Deep Learning with Multiplicative Interactions
Approximate Bayesian Computation: What, Why and How?
Probabilistic Integration for Uncertainty Quantification in Differential Equation Models
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Data
Stacks of Restricted Boltzmann Machines
Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making