Bayesian inference in nonparametric settings offers a coherent framework for learning complex, infinite-dimensional objects, such as probability densities, regression functions or solutions to inverse ...
Bayesian nonparametric modelling and inference encompasses a class of probabilistic methods that dispense with fixed‐dimensional parameter spaces in favour of priors defined on function or measure ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results