Publikationstyp: Konferenz: Sonstiges
Titel: A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models
Autor/-in: Ulzega, Simone
Angaben zur Konferenz: Kick-off Workshop for SDSC-ETH BISTOM project at Eawag, Dübendorf, Germany, 10 January 2018
Erscheinungsdatum: 10-Jan-2018
Sprache: Englisch
Fachgebiet (DDC): 003: Systeme
URI: https://digitalcollection.zhaw.ch/handle/11475/7746
Lizenz (gemäss Verlagsvertrag): Keine Angabe
Departement: Life Sciences und Facility Management
Organisationseinheit: Institut für Computational Life Sciences (ICLS)
Enthalten in den Sammlungen:Publikationen Life Sciences und Facility Management

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Ulzega, S. (2018, January 10). A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models. Kick-off Workshop for SDSC-ETH BISTOM Project at Eawag, Dübendorf, Germany, 10 January 2018.
Ulzega, S. (2018) ‘A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models’, in Kick-off Workshop for SDSC-ETH BISTOM project at Eawag, Dübendorf, Germany, 10 January 2018.
S. Ulzega, “A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models,” in Kick-off Workshop for SDSC-ETH BISTOM project at Eawag, Dübendorf, Germany, 10 January 2018, Jan. 2018.
ULZEGA, Simone, 2018. A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models. In: Kick-off Workshop for SDSC-ETH BISTOM project at Eawag, Dübendorf, Germany, 10 January 2018. Conference presentation. 10 Januar 2018
Ulzega, Simone. 2018. “A Hamiltonian Monte Carlo Method for Boosting Bayesian Parameter Inference of Stochastic Differential Equation Models.” Conference presentation. In Kick-off Workshop for SDSC-ETH BISTOM Project at Eawag, Dübendorf, Germany, 10 January 2018.
Ulzega, Simone. “A Hamiltonian Monte Carlo Method for Boosting Bayesian Parameter Inference of Stochastic Differential Equation Models.” Kick-off Workshop for SDSC-ETH BISTOM Project at Eawag, Dübendorf, Germany, 10 January 2018, 2018.


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