Bike-sharing is a popular component of sustainable urban mobility. It
re...
Ocean buoy data in the form of high frequency multivariate time series a...
Many single-target regression problems require estimates of uncertainty ...
Network effects complicate demand forecasting in general, and outlier
de...
Drifters deployed in close proximity collectively provide a unique
obser...
Wind-generated waves are often treated as stochastic processes. There is...
Actigraphy data has been widely used to measure activity and the circadi...
We provide a novel methodology for computing the most likely path taken ...
Complex-valued and widely linear modelling of time series signals are
wi...
We provide a computationally and statistically efficient method for
esti...
A comprehensive methodology is provided for smoothing noisy, irregularly...
The Whittle likelihood is a widely used and computationally efficient
ps...
This paper provides an algorithm for simulating improper (or noncircular...
There are three equivalent ways of representing two jointly observed
rea...
Game theory's prescriptive power typically relies on full rationality an...