Interacting particle systems (IPS) are a class of pure jump stochastic processes used to model systems of individual entities, referred to as ``particles", that evolve …
Consider a (possibly non-Markovian) interacting particle system (IPS) indexed by the nodes of a (possibly random) locally finite graph whose vertices and edges are equipped …
Many nonparametric Bayesian models can be viewed as an infinite-dimensional limit of a family of finite-dimensional models. However, another way to construct a flexible Bayesian …
This thesis investigates three related topics on the geometry of the space of planarshapes.In the first part, we setup the EPDiff (Euler-Poincare equation on the …
The spiking electrical activity of simultaneously recorded neurons is often modeled as a multivariate binary time series. Inference about the fast temporal correlation structure of …
Shape Registration is the transformation of one shape to be aligned with another. The shape registration method presented transforms any shape into another independent of …
This dissertation describes two novel algorithms for fully unsupervised part-of-speech tagging (POST), both of which exceed the performance of the current state-of-the-art models in both …
The growing computational demands of data science applications pose a significant challenge to machine learning and the applied sciences. These applications have relied mainly on …