For a Bayesian, the task to define the likelihood can be as perplexing a...
Motivated by the rising abundance of observational data with continuous
...
We consider the detection and localization of change points in the
distr...
The impracticality of posterior sampling has prevented the widespread
ad...
Recent empirical works show that large deep neural networks are often hi...