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2020 – today
- 2024
[c3]Sanmitra Ghosh, Paul Birrell, Daniela De Angelis:
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs. AISTATS 2024: 4888-4896- [i1]Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis
:
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs. CoRR abs/2405.01737 (2024) - 2023
- [j3]Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis:
An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling. PLoS Comput. Biol. 19(5) (2023) - 2022
- [c2]Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis:
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion. AISTATS 2022: 10982-10998 - 2021
- [c1]Sanmitra Ghosh, Paul Birrell, Daniela De Angelis:
Variational inference for nonlinear ordinary differential equations. AISTATS 2021: 2719-2727 - 2020
- [j2]Robert J. B. Goudie, Rebecca M. Turner, Daniela De Angelis, Andrew Thomas:
MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference. J. Stat. Softw. 95(1) (2020)
2000 – 2009
- 2002
- [j1]Walter R. Gilks, Benjamin Audit, Daniela De Angelis, Sophia Tsoka, Christos A. Ouzounis:
Modeling the percolation of annotation errors in a database of protein sequences. Bioinform. 18(12): 1641-1649 (2002)
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last updated on 2024-10-07 21:18 CEST by the dblp team
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