Author

Tuomas Sivula

Helsinki Institute for Information TechnologyORCID 0000-0002-3255-3078Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Jarno LintusaariiD· 1 shared Jukka CoranderiD· 1 shared Michael U. GutmanniD· 1 shared Paul Blomstedt· 1 shared Samuel Kaski AiD· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperBioinformatics

Jarno LintusaariORCID

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1 paper

Recent·Most cited

Resolving outbreak dynamics using Approximate Bayesian Computation for stochastic birth-death models

Jarno Lintusaari, Paul Blomstedt, Tuomas Sivula, Michael U. Gutmann, Samuel Kaski A, Jukka Corander

This paper uses Approximate Bayesian Computation to improve parameter estimation in stochastic birth-death models for disease outbreaks, showing better identifiability of key parameters like R and infectious population size.

Wellcome Open Research · Jan 25, 2019Peer-reviewedBioinformatics