What makes a good role model
| dc.creator | Sayir, Jossy | |
| dc.date | 2008-09-08 | |
| dc.date.accessioned | 2026-07-07T10:01:23Z | |
| dc.date.available | 2026-07-07T10:01:23Z | |
| dc.description | The role model strategy is introduced as a method for designing an estimator by approaching the output of a superior estimator that has better input observations. This strategy is shown to yield the optimal Bayesian estimator when a Markov condition is fulfilled. Two examples involving simple channels are given to illustrate its use. The strategy is combined with time averaging to construct a statistical model by numerically solving a convex program. The role model strategy was developed in the context of low complexity decoder design for iterative decoding. Potential applications outside the field of communications are discussed. | |
| dc.description | This paper is dedicated to Jim Massey on the occasion of his 75th birthday. Submitted to the IEEE Transactions on Information Theory | |
| dc.identifier | https://arxiv.org/abs/0809.1300 | |
| dc.identifier | http://arxiv.org/abs/0809.1300 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/168617 | |
| dc.subject | Information Theory | |
| dc.title | What makes a good role model | |
| dc.type | text |