156 citations
- University of EdinburghGB10 papers
- Forest ResearchGB2 papers
- Roslin InstituteGB2 papers
- United Kingdom Atomic Energy AuthorityGB2 papers
- University of CambridgeGB2 papers
- University of GlasgowGB2 papers
- University of NottinghamGB2 papers
- University of SheffieldGB2 papers
- University of TorontoCA2 papers
- Applied Biomathematics (United States)US1 paper
- Bangor UniversityGB1 paper
- Canadian Institute for Theoretical AstrophysicsCA1 paper
17 papers
Scaling a Variant Calling Genomics Pipeline with FaaS
Aitor Arjona, Arnau Gabriel-Atienza, Sara Lanuza-Orna +6
With the escalating complexity and volume of genomic data, the capacity of biology institutions' HPC faces limitations. While the Cloud presents a viable solution for short-term el…
Quantum Speedups for Multiproposal MCMC
Chin-Yi Lin, Kuo-Chin Chen, Philippe Lemey +3
Multiproposal Markov chain Monte Carlo (MCMC) algorithms choose from multiple proposals to generate their next chain step in order to sample from challenging target distributions m…
Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
Gabriel Calvo, Carmen Armero, Luigi Spezia
Sports data analytics is a relevant topic in applied statistics that has been growing in importance in recent years. In basketball, a player or team has a hot hand when their perfo…
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations
Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault +30
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs -- a series of ideas,…
FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows
Sonia Natalie Mitchell, Andrew Lahiff, Nathan Cummings +35
Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changin…
A guide to state-space modeling of ecological time series
Marie Auger-Méthé, Ken Newman, Diana Cole +8
State-space models (SSMs) are an important modeling framework for analyzing ecological time series. These hierarchical models are commonly used to model population dynamics, animal…