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 ...
In the Big Data era, many scientific and engineering domains are producing massive data streams, with petabyte and exabyte scales becoming increasingly common. Besides the explosive growth in volume, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results