Using of Bayesian Information as Evidence in Modern Forensic Research: A Probabilistic Thought for a Forensic Expert

Collecting evidence is an evergreen problem of the sciences of criminal procedure law. The problem is originated on the one hand from the fact that in the criminal proceedings there is a lack of evidences in a typical case. It is to understand, when the practicing of law is seeking to use the few available evidences at the highest efficiency level. The other side of the problem is, that by interpreting evidence the practicing of law draws conclusions as part of the interpretation of evidences, and he defines the facts of the case based on these conclusions. When is to consider, that we have enough evidences, and what method shall we use to interpret this evidences? The most efficient method we use, it is more probable that we will define the correct facts of the case. But is there any method, which leads us, inerrable to the correct facts of the case, or with other words which helps us to draw the right conclusions from the given evidence? There is a discussion about a method in the foreign literature which inserts the evidences in a mathematical equation and it defines the value of the evidences upon that. Investigations require that detectives interpret what evidence tells them about the probability that a suspect committed a crime. In real life situation the forensic experts can not accurately assess what a specific element of information tells them about the likelihood of an outcome. Bayes’ Theorem, however, can be used to overcome this difficulty.