Thomas P. Prescott - researchr alias

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Viewing Publication 1 - 11 from 11

2024

Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocationThomas P. Prescott, David J. Warne, Ruth E. Baker. jcphy, 496:112577, January 2024. [doi]

2022

Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processesDavid J. Warne, Thomas P. Prescott, Ruth E. Baker, Matthew J. Simpson. jcphy, 469:111543, 2022. [doi]

2021

Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter SamplingThomas P. Prescott, Ruth E. Baker. juq, 9(2):788-817, 2021. [doi]

2020

Multifidelity Approximate Bayesian ComputationThomas P. Prescott, Ruth E. Baker. juq, 8(1):114-138, 2020. [doi]

2016

Multi-scale design in layered synthetic biological systemsThomas P. Prescott, Antonis Papachristodoulou. eucc 2016: 1838-1843 [doi]

2015

Bounding the effect of retroactivity in the presence of parameter uncertaintyThomas P. Prescott, András György. amcc 2015: 3120-3125 [doi]

Quantification of Interactions between Dynamic Cellular Network Functionalities by Cascaded LayeringThomas P. Prescott, Moritz Lang, Antonis Papachristodoulou. ploscb, 11(5), 2015. [doi]

Designing Conservation Relations in Layered Synthetic Biomolecular NetworksThomas P. Prescott, Antonis Papachristodoulou. tbcas, 9(4):572-580, 2015. [doi]

2014

Signal propagation across layered biochemical networksThomas P. Prescott, Antonis Papachristodoulou. amcc 2014: 3399-3404 [doi]

Structured storage functions for cascaded systemsThomas P. Prescott, Antonis Papachristodoulou. cdc 2014: 5488-5493 [doi]

2013

Layering in networks: The case of biochemical systemsThomas P. Prescott, Antonis Papachristodoulou. amcc 2013: 4544-4549 [doi]

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