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 ...
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, ...
Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://doi.org/10.2307/j.ctt5hhrfp.4 https ...
Bayesian nonparametric modelling and inference encompasses a class of probabilistic methods that dispense with fixedâdimensional parameter spaces in favour of priors defined on function or measure ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results