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Erroneous Beliefs in Estimating Posterior Probability
The characteristics of human intuitive reasoning in estimating posterior probability can often be clarified through counterintuitive problems. A modified version of the “problem of three prisoners” (Shimojo & Ichikawa, 1989) is a very difficult Bayesian problem. Most subjects cannot yield the normative answer, and they do not intuitively accept it even
Shin’ichi Ichikawa, Hiroshige Takeichi
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Nonlinear Demodulation and Channel Coding in EBPSK Scheme
The extended binary phase shift keying (EBPSK) is an efficient modulation technique, and a special impacting filter (SIF) is used in its demodulator to improve the bit error rate (BER) performance.
Xianqing Chen, Lenan Wu
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Estimating sexual size dimorphism in fossil species from posterior probability densities. [PDF]
Sasaki T +7 more
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Citation: 'posterior probability' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11492 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
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A confidence function-based posterior probability design for phase II cancer trials. [PDF]
Shan M.
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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers
In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems.
Evan Scope Crafts, Umberto Villa
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Early detection method for insiders in cloud environments
The article examines the problem of detecting insider threats in cloud services (CS), which has become pressing due to the rapid digitalization of business processes.
A.S. Hlazunov, A.M. Gurzhii
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Confidence, Posterior Probability, and the Buehler Example
A confidence level is sometimes treated as a probability and accordingly given substantial "confidence." And with certain statistical models a confidence level can also be an objective posterior probability (Fraser and MacKay, 1975). An instance involving such a probability with a binary error was discussed at the Symposium on Foundations of ...
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Finding a Posterior Domain Probability Distribution by Specifying Nonspecific Evidence [PDF]
Johan Schubert
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