10.18453/rosdok_id00002491 Trimiño Mora, Humberto Humberto Trimiño Mora http://d-nb.info/gnd/1190908026 Universität Rostock 2018 004 Data processing Computer sciences 310 General statistics 621.3 Electrical Engineering, Electronics 2018 en http://purl.uni-rostock.de/rosdok/id00002491 urn:nbn:de:gbv:28-rosdok_id00002491-1 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.