Spatial Inference in Large-Scale Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering: Räumliche Inferenz in Large-Scale Sensor Netzwerken unter Verwendung Multipler Hypothesentests und Bayesian Clusterings

Martin Gölz

Research output: Thesis › Master's thesis

Fingerprint

Dive into the research topics of 'Spatial Inference in Large-Scale Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering: Räumliche Inferenz in Large-Scale Sensor Netzwerken unter Verwendung Multipler Hypothesentests und Bayesian Clusterings'. Together they form a unique fingerprint.

Engineering

Mathematics

Computer Science