Child Abuse, Misdiagnosed by an Expertise Center-Part II-Misuse of Bayes' Theorem. [PDF]
Children (Basel), 2023 van Gemert MJC +4 more
europepmc +1 more source
A Web Simulator to Assist in the Teaching of Bayes’ Theorem
Journal of Statistics Education, 2019 Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968 ...
M. J. Bárcena +4 more
doaj +1 more source
On the Risks of Belonging to Disadvantaged Groups: A Bayesian Analysis of Labour Market Outcomes [PDF]
, 2010 Although methods of analysis based on Bayes’ theorem have had rich applications in Law and in Medicine they have not been much used in Economics. We use Bayes’ theorem to construct two concepts of the “risk” associated with belonging to a particular ...
Borooah, Vani
core
High Voltage, EarlyView.ABSTRACT To address the limitations of traditional transformer health index (HI), such as high dependence on data integrity and inability to assist in diagnosing latent faults, this study proposes an HI prediction method based on dynamic Bayesian network (DBN).
Shuaibing Li +3 more
wiley +1 more source
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Topics in Cognitive Science, EarlyView., 2023 Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Subjectivity of pre-test probability value: controversies over the use of Bayes' Theorem in medical diagnosis. [PDF]
Theor Med Bioeth, 2023 Rzepiński T.
europepmc +1 more source
A Bayes interpretation of stacking for M-complete and M-open settings [PDF]
, 2016 In M-open problems where no true model can be conceptualized, it is common to back off from modeling and merely seek good prediction. Even in M-complete problems, taking a predictive approach can be very useful.
Clarke, Bertrand, Le, Tri
core +2 more sources
Statistical Scientist Meets a Philosopher of Science: A Conversation [PDF]
philosophy of science, philosophy of statistics, decision theory, likelihood, subjective probability, Bayesianism, Bayes theorem, Fisher, Neyman and Pearson, Jeffreys, induction, frequentism, reliability ...
David Cox, Deborah Mayo
core
The Consequences of Soil Organic Carbon for Crop Yield, Farm Productivity and Profit
Australian Journal of Agricultural and Resource Economics, EarlyView.ABSTRACT Crop choices affect soil organic carbon (SOC) stocks, allowing farmers to manipulate the amount of carbon sequestered in the soil over time. This paper examines the private and public benefits of crop rotations that sequester additional carbon across the province of Saskatchewan, Canada using a novel field‐level dataset from the Saskatchewan ...
Devin Allen Serfas
wiley +1 more source
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
The Journal of Privacy and Confidentiality, 2014 Differential privacy is a definition of privacy for algorithms that analyze and publish information about statistical databases. It is often claimed that differential privacy provides guarantees against adversaries with arbitrary side information.
Shiva P. Kasiviswanathan, Adam Smith
doaj +1 more source