Model-Based Bayesian Inference, Learning, and Decision-Making with Applications in Communication Systems
- Alternative title
-
Modellbasierte Bayes'sche Inferenz, Lernen und Entscheidungsfindung mit Anwendungen in Kommunikationssystemen
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
Darmstadt, Technische Universität Darmstadt, Dissertation, 2022
- Keyword
-
Inference
Decision making
Telecommunication systems
Learning
- Event
-
Veröffentlichung
- (where)
-
Darmstadt
- (who)
-
Universitäts- und Landesbibliothek
- (when)
-
2022
- Creator
- Contributor
- DOI
-
10.26083/tuprints-00020515
- URN
-
urn:nbn:de:tuda-tuprints-205151
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
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.
Associated
- Alt, Bastian
- Koeppl, Heinz W.
- Rizk, Amr
- Universitäts- und Landesbibliothek
Time of origin
- 2022
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A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes
Bayesian inference and learning in switching biological systems
Nonparametric Bayesian inference for meta-stable conformational dynamics
Moment-Based Variational Inference for Stochastic Differential Equations
Moment-Based Variational Inference for Markov Jump Processes
Active Learning of Continuous-time Bayesian Networks through Interventions
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Continuous Time Bayesian Networks with Clocks
Variational Inference for Continuous-Time Switching Dynamical Systems
Scalable Inference in Graph-coupled Continuous-time Markov Chains
Non-parametric Bayesian Latent Factor Models for Network Reconstruction
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data