Description
Economic and forensic analyses of public distributed ledgers become popular in the study of selected properties of blockchain-based systems. The aim of this thesis is to build a statistic model that predicts behavior of individual agents in such systems (e.g., wallet management) and calibrate the model using Bitcoin transaction data. A valid calibrated model can be the basis for decision support in the next generation of Bitcoin client software.
This thesis requires a student’s good understanding of Bitcoin and its operation, programming experience and interest in statistical modeling as well as profound data analysis skills.