Adams Conditioning and Likelihood Ratio Transfer Mediated Inference

@article{Bergstra2019AdamsCA,
  title={Adams Conditioning and Likelihood Ratio Transfer Mediated Inference},
  author={Jan A. Bergstra},
  journal={ArXiv},
  year={2019},
  volume={abs/1611.09351}
}
Bayesian inference as applied in a legal setting is about belief transfer and involves a plurality of agents and communication protocols. A forensic expert (FE) may communicate to a trier of fact (TOF) first its value of a certain likelihood ratio with respect to FE's belief state as represented by a probability function on FE's proposition space. Subsequently FE communicates its recently acquired confirmation that a certain evidence proposition is true. Then TOF performs likelihood ratio… Expand
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References

SHOWING 1-10 OF 71 REFERENCES
Radical Probabilism and Bayesian Conditioning*
Richard Jeffrey espoused an antifoundationalist variant of Bayesian thinking that he termed ‘Radical Probabilism’. Radical Probabilism denies both the existence of an ideal, unbiased starting pointExpand
Probabilistic Belief Expansion and Conditioning
TLDR
It is argued that it may be more correct to view conditioning and expansion as two diierent kinds of belief change, and the diierences between the two kinds in the context of belief states represented by partially determined probability functions. Expand
For Bayesians, Rational Modesty Requires Imprecision
TLDR
The aim is to show that Belot’s argument is a reason to prefer imprecise Bayesianism to precise Bayesians, and to suggest that many philosophers seem to be interested in varieties ofBayesianism that are just this strong. Expand
What should a forensic practitioner's likelihood ratio be?
TLDR
It is argued that forensic practitioners should empirically assess and report the precision of their likelihood ratios, and a normative framework is outlined which a trier of fact could employ to make non-arbitrary use of the results of forensic practitioners' empirical calculations of likelihood ratios and their precision. Expand
Some Reservations About Likelihood Ratios (and Some Other Aspects of Forensic Bayesianism)
This paper is an expansion of a talk given at the 8th International Conference on Forensic Inference and Statistics in Seattle, July 19, 2011. The focus of the paper is the application of modernExpand
A Bayesian Approach to Absent Evidence Reasoning
Under what conditions is the failure to have evidence that p evidence that p is false? Absent evidence reasoning is common in many sciences, including astronomy, archeology, biology and medicine. AnExpand
The law doesn't say much about base rates
In his recent contribution “Neglect the Base Rate: It’s the law!” (http://ssrn.com/abstract=2192423), Prof. Engel makes the point that the law forbids making group-to-individual inferences based onExpand
Interpretation of statistical evidence in criminal trials
In criminal cases where the evidence shows a match between the defendant and the perpetrator on some characteristic, the jury often receives statistical evidence on the incidence rate of theExpand
On Indeterminate Probabilities
Some men disclaim certainty about anything. I am certain that they deceive themselves. Be that as it may, only the arrogant and foolish maintain that they are certain about everything. It isExpand
Extending the Confusion About Bayes
TLDR
It is explained why the Bayesian method is the correct logical method for analysing forensic scientific evidence, how it works and why ‘mathematical formulae’ can be useful even where firm statistical data is lacking. Expand
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4
5
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