Philipp Hennig, Michael Osborne, and Mark Girolami write: We deliver a call to arms for probabilistic numerical methods: algorithms for numerical tasks, including linear algebra, integration, optimization and solving differential equations, that return uncertainties in their calculations. . . . We describe how several seminal classic numerical methods can be interpreted naturally as probabilistic inference. […] The post Flatten your abs with this new statistical approach to quadrature appeared first…