dorsal/arxiv
View SchemaMaxEnt assisted MaxLik tomography
| Authors | J. Rehacek, Z. Hradil |
|---|---|
| Categories | |
| ArXiv ID | physics/0404121 |
| URL | https://arxiv.org/abs/physics/0404121 |
| DOI | 10.1063/1.1751389 |
Abstract
Maximum likelihood estimation is a valuable tool often applied to inverse problems in quantum theory. Estimation from small data sets can, however, have non unique solutions. We discuss this problem and propose to use Jaynes maximum entropy principle to single out the most unbiased maximum-likelihood guess.
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"abstract": "Maximum likelihood estimation is a valuable tool often applied to inverse\nproblems in quantum theory. Estimation from small data sets can, however, have\nnon unique solutions. We discuss this problem and propose to use Jaynes maximum\nentropy principle to single out the most unbiased maximum-likelihood guess.",
"arxiv_id": "physics/0404121",
"authors": [
"J. Rehacek",
"Z. Hradil"
],
"categories": [
"physics.data-an"
],
"doi": "10.1063/1.1751389",
"title": "MaxEnt assisted MaxLik tomography",
"url": "https://arxiv.org/abs/physics/0404121"
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