A Bayesian Application in Judicial Decisions
Filipe J. Zabala
TL;DR
This paper introduces a Bayesian method to assist judicial decisions on moral damage indemnity, providing a transparent, auditable tool based on historical data for the judiciary of Rio Grande do Sul, Brazil.
Contribution
It develops a Bayesian approach implemented in free software to support judicial decision-making on indemnity values using public historical data.
Findings
Provides a transparent Bayesian tool for indemnity decisions
Enables future audits with open-source software
Supports judiciary with data-driven decision support
Abstract
This paper presents a new tool to support the decision concerning moral damage indemnity values of the judiciary of Rio Grande do Sul, Brazil. A Bayesian approach is given, in order to allow the assignment of the magistrate's opinion about such indemnity amounts, based on historical values. The solution is delivered in free software using public data, in order to permit future audits.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · Law, Economics, and Judicial Systems · Logic, Reasoning, and Knowledge