0411109 20240103182302.420060210235959.9 0-19-852615-6 Oxford University Press 2003 10 s. 543-552BernardoJ. M.BayarriM. J.BergerJ. O. Bayesian estimation dynamic model identification quantitative lymphoscintigraphy cav_un_auth*0101090 Gebouský Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0213041 Quinn A. IR 06Y 12B GA102/99/1564 GA ČR cav_un_auth*0004444 IBS1075102 GA AV ČR cav_un_auth*0014060 NC7601 GA MZd cav_un_auth*0029565 CEZ:AV0Z1075907 Lymphoscintigraphy is a diagnostic technique in nuclear medicine used for the investigation of upper limb lymphedema. Typically, only 2 or 3 snapshots of the distribution of radio-tracer in the limb can be obtained. Hence, traditional inferences of important physiological indicators are completely unreliable. The Bayesian paradigm, exploiting available prior information in conjunction with a simplified model of the diffusion dynamics, is used to obtain reliable quantitative evaluations here. Aplikace pravděpodobnostních směsí, systém Mixtools BO 2006 AS http://hdl.handle.net/11104/0131196 UTIA-B 20030096 2003 2003 Oxford University Press 0-19-852615-6 Bayesian Statistics 7 543 552 Bernardo J. M. 340 Bayarri M. J. 340 Berger J. O. 340