Bayesian Reasoning and Evidence Communication

05/10/2022
by   Steven Lund, et al.
0

Many resources for forensic scholars and practitioners, such as journal articles, guidance documents, and textbooks, address how to make a value of evidence assessment in the form of a likelihood ratio (LR) when deciding between two competing propositions. These texts often describe experts presenting their LR values to other parties in the judicial system, such as lawyers, judges, and potentially jurors, but few texts explicitly address how a recipient is expected to utilize the provided LR value. Those that do often imply, or directly suggest, a hybrid modification of Bayes' rule in which a decision maker multiplies their prior odds with another person's assessment of LR to obtain their posterior odds. In this paper, we illustrate how someone adhering to Bayesian reasoning would update their personal uncertainty in response to someone else presenting a personal LR value (or any other form of an opinion) and emphasize that the hybrid approach is a departure from Bayesian reasoning. We further consider implications of recipients adhering to Bayesian reasoning on the role and ideal content of expert's reports and testimony and address published responses to our 2017 paper (Lund and Iyer, 2017), where we previously argued that the hybrid equation is not supported by Bayesian reasoning.

READ FULL TEXT

page 15

page 26

research
02/27/2013

Value of Evidence on Influence Diagrams

In this paper, we introduce evidence propagation operations on influence...
research
06/09/2021

Calculating the Likelihood Ratio for Multiple Pieces of Evidence

When presenting forensic evidence, such as a DNA match, experts often us...
research
11/26/2016

Adams Conditioning and Likelihood Ratio Transfer Mediated Inference

Forensic science advocates the use of inference mechanisms which may be ...
research
02/09/2021

Transparency to hybrid open access through publisher-provided metadata: An article-level study of Elsevier

With the growth of open access (OA), the financial flows in scholarly jo...
research
07/04/2012

Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints

In this paper, we consider Hybrid Mixed Networks (HMN) which are Hybrid ...
research
03/27/2013

Taxonomy, Structure, and Implementation of Evidential Reasoning

The fundamental elements of evidential reasoning problems are described,...
research
03/20/2013

Reasoning with Mass Distributions

The concept of movable evidence masses that flow from supersets to subse...

Please sign up or login with your details

Forgot password? Click here to reset