49 citations · 173 across the 21 of their papers we have counts for
7 papers · 1 filter
Improving Photometric Redshift Estimation using GPz: size information, post processing and improved photometry
Zahra Gomes, Matt J. Jarvis, Ibrahim A. Almosallam +1
The next generation of large scale imaging surveys (such as those conducted with the Large Synoptic Survey Telescope and Euclid) will require accurate photometric redshifts in orde…
Inferring agent objectives at different scales of a complex adaptive system
Dieter Hendricks, Adam Cobb, Richard Everett +2
We introduce a framework to study the effective objectives at different time scales of financial market microstructure. The financial market can be regarded as a complex adaptive s…
Novel Exploration Techniques (NETs) for Malaria Policy Interventions
Oliver Bent, Sekou L. Remy, Stephen Roberts +1
The task of decision-making under uncertainty is daunting, especially for problems which have significant complexity. Healthcare policy makers across the globe are facing problems…
Learning from lions: inferring the utility of agents from their trajectories
Adam D. Cobb, Andrew Markham, Stephen J. Roberts
We build a model using Gaussian processes to infer a spatio-temporal vector field from observed agent trajectories. Significant landmarks or influence points in agent surroundings…
Robust, open-source removal of systematics in Kepler data
S. Aigrain, H. Parviainen, S. Roberts +2
We present ARC2 (Astrophysically Robust Correction 2), an open-source Python-based systematics-correction pipeline to correct for the Kepler prime mission long cadence light curves…
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes
Syed Ali Asad Rizvi, Stephen J. Roberts, Michael A. Osborne +1
In this paper we use Gaussian Process (GP) regression to propose a novel approach for predicting volatility of financial returns by forecasting the envelopes of the time series. We…