A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models

Ulzega, Simone

Publication type:	Conference other
Title:	A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models
Authors:	Ulzega, Simone
Conference details:	Kick-off Workshop for SDSC-ETH BISTOM project at Eawag, Dübendorf, Germany, 10 January 2018
Issue Date:	10-Jan-2018
Language:	English
Subject (DDC):	003: Systems
URI:	https://digitalcollection.zhaw.ch/handle/11475/7746
License (according to publishing contract):	Not specified
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Computational Life Sciences (ICLS)
Appears in collections:	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.