Hochschulschrift
Bayesian model inference in dynamic biological systems using Markov Chain Monte Carlo methods
- Alternative title
-
Bayesianische Modellinferenz dynamischer biologischer Systeme unter Verwendung von Markov-Chain-Monte-Carlo-Verfahren
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Diss., 2012
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2012
- Creator
- Contributor
-
Theis, Fabian J.
Tresch, Achim
Czado, Claudia
- URN
-
urn:nbn:de:bvb:91-diss-20120911-1098758-0-1
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Schmidl, Daniel
- Theis, Fabian J.
- Tresch, Achim
- Czado, Claudia
- Universitätsbibliothek der TU München
Time of origin
- 2012
Other Objects (12)
Bayesian model inference in dynamic biological systems using Markov chain Monte Carlo methods
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
Bayesian inference and learning in switching biological systems
Granger causality and regime inference in Bayesian Markov-Switching VARs
Predictive Inference Based on Markov Chain Monte Carlo Output
Scalable Inference in Graph-coupled Continuous-time Markov Chains
Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity
Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity
Why Bayesian inference?
Bayesian Adaptive Markov Chain Monte Carlo Estimation of Genetic Parameters
Markov chains
Bayesian model inference in dynamic biological systems using Markov chain Monte Carlo methods
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
Bayesian inference and learning in switching biological systems
Granger causality and regime inference in Bayesian Markov-Switching VARs
Predictive Inference Based on Markov Chain Monte Carlo Output
Scalable Inference in Graph-coupled Continuous-time Markov Chains
Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity
Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity
Why Bayesian inference?
Bayesian Adaptive Markov Chain Monte Carlo Estimation of Genetic Parameters
Markov chains
Bayesian model inference in dynamic biological systems using Markov chain Monte Carlo methods
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
Bayesian inference and learning in switching biological systems
Granger causality and regime inference in Bayesian Markov-Switching VARs
Predictive Inference Based on Markov Chain Monte Carlo Output
Scalable Inference in Graph-coupled Continuous-time Markov Chains
Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity
Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity
Why Bayesian inference?
Bayesian Adaptive Markov Chain Monte Carlo Estimation of Genetic Parameters