Graph matching, which refers to a class of computational problems of finding an optimal
correspondence between the vertices of graphs to minimize (maximize) their node and edge …

Many events occur in the world. Some event types are stochastically excited or inhibited—in
the sense of having their probabilities elevated or decreased—by patterns in the sequence …

Many time series are effectively generated by a combination of deterministic continuous
flows along with discrete jumps sparked by stochastic events. However, we usually do not …

In this paper we propose an overview of the recent academic literature devoted to the
applications of Hawkes processes in finance. Hawkes processes constitute a particular class …

Event sequence, asynchronously generated with random timestamp, is ubiquitous among
applications. The precise and arbitrary timestamp can carry important clues about the …

Information diffusion in online social networks is affected by the underlying network
topology, but it also has the power to change it. Online users are constantly creating new …

Learning Granger causality for general point processes is a very challenging task. We
propose an effective method learning Granger causality for a special but significant type of …

A fundamental problem in optical, see-through augmented reality (AR) is characterizing how
it affects the perception of spatial layout and depth. This problem is important because AR …

If a piece of information is released from a media site, can it spread, in 1 month, to a million
web pages? This influence estimation problem is very challenging since both the time …

Hawkes processes are used in statistical modeling for event clustering and causal inference,
while they also can be viewed as stochastic versions of popular compartmental models used …