Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators.

Jiang, Richard M; Wrede, Fredrik; Singh, Prashant; Hellander, Andreas; Petzold, Linda R

Jiang, Richard M; Wrede, Fredrik; Singh, Prashant; Hellander, Andreas; Petzold, Linda R.

Affiliation

Jiang RM; Department of Computer Science, University of California, Santa Barbara, Santa Barbara, USA. rmjiang@ucsb.edu.
Wrede F; Department of Information Technology, Uppsala University, Uppsala, Sweden.
Singh P; Department of Information Technology, Uppsala University, Uppsala, Sweden.
Hellander A; Department of Information Technology, Uppsala University, Uppsala, Sweden.
Petzold LR; Department of Computer Science, University of California, Santa Barbara, Santa Barbara, USA.

BMC Bioinformatics ; 22(1): 339, 2021 Jun 23.

Article in En | MEDLINE | ID: mdl-34162329

Subject(s)

Algorithms; Models, Biological; Bayes Theorem; Computer Simulation; Regression Analysis; Stochastic Processes

Key words

Approximate Bayesian Computation; Biochemical reaction systems; Discrete stochastic reaction systems; Gillespie algorithm; Summary statistics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Models, Biological Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: United States

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