dorsal/arxiv
View SchemaQuasi-optimal observables: Attaining the quality of maximal likelihood in parameter estimation when only a MC event generator is available
| Authors | F. V. Tkachov |
|---|---|
| Categories | |
| ArXiv ID | physics/0108030 |
| URL | https://arxiv.org/abs/physics/0108030 |
| Journal | Proc. XI Int. School "Particles and Cosmology", Baksan Valley, 18-24 April 2001 |
Abstract
A new method of quasi-optimal observables allows one to approach the quality of data processing usually associated with the method of maximal likelihood within the simpler algorithmic context of generalized moments.
{
"annotation_id": "9cf3ba7d-accf-4e11-b6a0-df30f745f257",
"date_created": "2026-03-02T18:00:36.387000Z",
"date_modified": "2026-03-02T18:00:36.387000Z",
"file_hash": "6f935994fcf82d505237c5e5e2c16c1dadb32336f1c5d1e73dee6df819b69524",
"private": false,
"record": {
"abstract": "A new method of quasi-optimal observables allows one to approach the quality\nof data processing usually associated with the method of maximal likelihood\nwithin the simpler algorithmic context of generalized moments.",
"arxiv_id": "physics/0108030",
"authors": [
"F. V. Tkachov"
],
"categories": [
"physics.data-an"
],
"journal_ref": "Proc. XI Int. School \"Particles and Cosmology\", Baksan Valley,\n 18-24 April 2001",
"title": "Quasi-optimal observables: Attaining the quality of maximal likelihood in parameter estimation when only a MC event generator is available",
"url": "https://arxiv.org/abs/physics/0108030"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "c65d4216-41ee-4f91-b4f5-7c6255473541",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}