Latent-Variable Modeling: Algorithms, Inference, and Applications
<p>Many driving factors of physical systems are often latent or unobserved. Thus, understanding such systems crucially relies on accounting for the influence of the latent structure. This thesis makes advances in three aspects of latent-variable modeling: inference, algorithms, and application...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | en |
| Published: |
2020
|
| Online Access: | https://thesis.library.caltech.edu/11799/1/Taeb_thesis.pdf Taeb, Armeen (2020) Latent-Variable Modeling: Algorithms, Inference, and Applications. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/YRF1-7W29. https://resolver.caltech.edu/CaltechTHESIS:09222019-132051506 <https://resolver.caltech.edu/CaltechTHESIS:09222019-132051506> |
Internet
https://thesis.library.caltech.edu/11799/1/Taeb_thesis.pdfTaeb, Armeen (2020) Latent-Variable Modeling: Algorithms, Inference, and Applications. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/YRF1-7W29. https://resolver.caltech.edu/CaltechTHESIS:09222019-132051506 <https://resolver.caltech.edu/CaltechTHESIS:09222019-132051506>