Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Code and data from the "Spatial and Spatio-temporal Bayesian Models with R-INLA" book

Applied Spatial Data Analysis in geoscience

An introductory course to the INLA-software

Elevational variation in tropical trees analysis

Bibliograph bank for stochastic PDE and related fields

Julia scripts associated with "A White Noise Approach to Evolutionary Ecology" by Week et. al. (2020) for simulating branching Brownian motions and other measure-valued branching processes, approximating their diffusion limits, solving associated SPDE and solving SDE corresponding to an eco-evolutionary model of a competitive community.

Code for proceeding paper in FIMH2019