We introduce a novel scalable approach to identifying common latent structure in neural
population spike-trains, which allows for variability both in the trajectory and in the rate of …

The substitution of conventional mechanical fasteners by adhesive joints has been
advocated by the aircraft and aerospace industries due to the weight saving potential. Flaws …

This thesis is a contribution to the nested modelling of complex systems. A global
methodology to quantify uncertainties and their origins in a workflow composed of several …

Stochastic volatility models have replaced Black-Scholes model since they are able to
generate a volatility smile. However, standard models fail to capture the smile slope and …

In consequential domains such as recidivism prediction, facility inspection, and benefit
assignment, it's important for individuals to know the decision-relevant information for the …

We propose a method to estimate non-Gaussian error bars on the matter power spectrum
from galaxy surveys in the presence of non-trivial survey selection functions. The estimators …

In financial mathematics, Wishart processes have emerged as an efficient tool to model
stochastic covariance structures. Their numerical simulation may be quite challenging since …

We present a novel direct transcription method to solve optimization problems subject to
nonlinear differential and inequality constraints. We prove convergence of our numerical …

The stability of the gyroid phase in a coarse-grained model of rod–coil block copolymers is
ascertained by using a field-based thermodynamic integration method to calculate free …

The wealth of data available at a single click often adds to the information overload problem.
Summarization is an intuitive way to address this problem by constructing a condensed …