Performing global sensitivity analysis on simulations of a continuous-time Markov chain model motivated by epidemiology
DOI10.1007/s40314-024-02897-yzbMATH Open1548.60096MaRDI QIDQ6616179
Henri Mermoz Kouye, Elisabeta Vergu, Gildas Mazo, Clémentine Prieur
Publication date: 8 October 2024
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
continuous-time Markov chainsglobal sensitivity analysisuncertainty quantificationepidemic modelsstochastic compartmental models
Epidemiology (92D30) Computing methodologies and applications (68U99) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Algorithms in computer science (68W99)
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