Toward general solutions to time-series problems: Notes on obstacles and noise
| dc.creator | Gideoni, Iftah | |
| dc.date | 1996-01-07 | |
| dc.date.accessioned | 2026-07-07T09:07:34Z | |
| dc.date.available | 2026-07-07T09:07:34Z | |
| dc.description | Computational difficulties in the general application of Bretthorsts formalism to time-series problems, posed by the large number of possible models and the use of models with nonorthogonal base-functions are discussed. The specific problem under consideration is a Bayesian procedure for model selection, parameter estimation, and classification, that was applied to the search for the {\it {In Vivo}} $T_2$ decay rate distributions in brain tissues. Through the estimation of the meta-parameter $σ$ in the process, we also gain a better understanding of the meaning and estimation of "noise" in the frame-work of probability theory as logic. | |
| dc.description | 15 pages, 8 Postcript figures, uses article style | |
| dc.identifier | https://arxiv.org/abs/bayes-an/9601001 | |
| dc.identifier | http://arxiv.org/abs/bayes-an/9601001 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/150413 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.title | Toward general solutions to time-series problems: Notes on obstacles and noise | |
| dc.type | text |