Declarative modelling for Bayesian inference by shallow embedding
(2014)
Conference Proceeding
Nilsson, H., & Nielsen, T. A. (2014). Declarative modelling for Bayesian inference by shallow embedding.
A common problem across science and engineering is that aspects of models have to be estimated from observed data. An instance of this familiar to control engineers is system identification. Bayesian inference is a principled way to estimate paramete... Read More about Declarative modelling for Bayesian inference by shallow embedding.