TY  - BOOK
AU  - Trimiño Mora, Humberto
PY  - 2018
DA  - 2018//
TI  - Acceleration of Bayesian model based data analysis
PB  - Universität Rostock
CY  - Rostock
AB  - Inverse problems for parameter estimation often face a choice between the use of a real-time scheme with strong approximations or rigorous post-processing with explicit uncertainty handling. Plasma physics experiments set a particularly high demand of both and a solution that meets all of these requirements is missing. Standard Bayesian analysis is an excellent tool for the case at hand, with the disadvantage of extensive processing times. This work therefore presents a solution that satisfies the scientific requirements while reducing the need for a speed vs. rigorosity trade-off.<eng>
UR  - http://purl.uni-rostock.de/rosdok/id00002491
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002491-1
UR  - https://d-nb.info/1293656860/34
UR  - https://doi.org/10.18453/rosdok_id00002491
DO  - 10.18453/rosdok_id00002491
LA  - English
N1  - vorgelegt von Humberto Trimino Mora
ID  - 1669429113
ER  -