The Role of Prior Probability in Forensic Assessments [PDF]
Frontiers in Genetics, 2013 As the importance of forensic science in the legal system has grown, debate has arisen about the way forensic scientists should characterize their findings in order to communicate most effectively with legal fact-finders. This article will focus on one aspect of that debate: the framing of conclusions involving elements of probability.
William C. Thompson +4 more
doaj +6 more sources
Envelopes of conditional probabilities extending a strategy and a prior probability [PDF]
International Journal of Approximate Reasoning, 2017 28
Petturiti, Davide, VANTAGGI, Barbara
semanticscholar +5 more sources
Elicitation of prior probability distributions for a proposed Bayesian randomized clinical trial of whole blood for trauma resuscitation. [PDF]
Transfusion, 2020 Whole blood trauma resuscitation is conceptually appealing and increasingly used but lacks evidence. A randomized controlled trial is needed but challenging to design. A Bayesian approach might be more efficient and more interpretable than a conventional
Jansen JO +11 more
europepmc +4 more sources
An empirical investigation into the role of subjective prior probability in searching for potentially missing items [PDF]
Royal Society Open Science, 2015 There are many examples from the scientific literature of visual search tasks in which the length, scope and success rate of the search have been shown to vary according to the searcher's expectations of whether the search target is likely to be present.
T. R. Fanshawe
doaj +3 more sources
Human online adaptation to changes in prior probability. [PDF]
PLoS Computational Biology, 2019 Optimal sensory decision-making requires the combination of uncertain sensory signals with prior expectations. The effect of prior probability is often described as a shift in the decision criterion. Can observers track sudden changes in probability?
Elyse H Norton +3 more
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A proposal of prior probability-oriented clustering in feature encoding strategies. [PDF]
PLoS ONE, 2019 Codebook-based feature encodings are a standard framework for image recognition issues. A codebook is usually constructed by clusterings, such as the k-means and the Gaussian Mixture Model (GMM). A codebook size is an important factor to decide the trade-
Yuki Shinomiya, Yukinobu Hoshino
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Diagnostic testing in the context of high-value care: Incorporating prior probability [PDF]
Journal of Community Hospital Internal Medicine Perspectives, 2016 This is the fifth article of a series on fundamental concepts in biostatistics and research. In this article, the author reviews the fundamental concepts in diagnostic testing, prior probability and predictive value, and how they relate to the concept of
Lucien Cardinal
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Repetition probability effects depend on prior experiences [PDF]
Journal of Vision, 2014 The magnitude of repetition suppression (RS) in the Fusiform Face Area is influenced by the probability of repetitions of faces (Summerfield et al., 2008), implying that perceptual expectations affect repetition-related processes. Surprisingly, however, macaque single-cell (Kaliukhovich and Vogels, 2011) and human fMRI (Kovács et al., 2013) studies ...
Mareike Grotheer, Gyula Kovács
semanticscholar +5 more sources
Accurate and Robust Non-rigid Point Set Registration using Student's-t Mixture Model with Prior Probability Modeling. [PDF]
Sci Rep, 2018 A new accurate and robust non-rigid point set registration method, named DSMM, is proposed for non-rigid point set registration in the presence of significant amounts of missing correspondences and outliers.
Zhou Z +6 more
europepmc +2 more sources
Ensuring Fairness under Prior Probability Shifts [PDF]
AAAI/ACM Conference on AI, Ethics, and Society, 2021 Prior probability shift is a phenomenon where the training and test datasets differ structurally within population subgroups. This phenomenon can be observed in the yearly records of several real-world datasets, for example, recidivism records and ...
Arpita Biswas, Suvam Mukherjee
openalex +3 more sources