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Interval probabilities in juridical practice and its communicative inputs

Citation

Nikolova, N and Toneva, D and Ivanova, S and Tenekedjiev, K, Interval probabilities in juridical practice and its communicative inputs, Communicology, 6, (1) pp. 192-198. ISSN 2311-3065 (2018) [Refereed Article]

Copyright Statement

Copyright 2018 Communicology

Official URL: https://drive.google.com/file/d/1Mk1xeWkcpkSbeVzis...

DOI: doi:10.21453/2311-3065-2018-6-1-192-198

Abstract

The article focuses on the quantitative interpretation of trials, including its communicative inputs. Outlines some of the shortcomings of the process of identifying guilt and verdict. In the analysis of the legal solutions introduced subjective probabilities and some of the information and communication components. While the Bayesian inference is a common method for revision of beliefs, it requires precise prior probabilities and likelihoods, usually assessed in the form of intervals. Therefore this work comments upon procedures to introduce interval probabilities to statistical reasoning that support the analysis of evidence in court trials.

This work highlights the problems of judgment in legal trials and some of the communicative elements that are present here. It emphasizes the possibilities to improve the decision analysis process in trials by adopting subjective probability as a measure of uncertainty about the level of guilt of a defendant judged upon testimonies. Bayesian and other approaches can then serve to adapt beliefs. The key element of the discussion here is the introduction of interval probability estimates and the benefits they bring to legal decision making.

Item Details

Item Type:Refereed Article
Keywords:legal decision making, classification system, subjective probability, interval probabilities
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Applied Statistics
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
UTAS Author:Nikolova, N (Professor Nataliya Nikolova)
UTAS Author:Tenekedjiev, K (Professor Kiril Tenekedjiev)
ID Code:125826
Year Published:2018
Deposited By:Maritime and Logistics Management
Deposited On:2018-05-08
Last Modified:2018-12-14
Downloads:0

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