Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Simon Martina Perez"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1010191 (2022)
Bayesian methods are routinely used to combine experimental data with detailed mathematical models to obtain insights into physical phenomena. However, the computational cost of Bayesian computation with detailed models has been a notorious problem.
Externí odkaz:
https://doaj.org/article/b0267a943774430db8a24803137e3fc1
Bayesian methods are routinely used to combine experimental data with detailed mathematical models to obtain insights into physical phenomena. However, the computational cost of Bayesian computation with detailed models has been a notorious problem.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::167c8367a6c92d1d8144c0ae9eb50598
https://doi.org/10.1101/2022.02.14.480336
https://doi.org/10.1101/2022.02.14.480336
Equation learning aims to infer differential equation models from data. While a number of studies have shown that differential equation models can be successfully identified when the data are sufficiently detailed and corrupted with relatively small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8744066d1a79edf8339e9921f618981e