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Nonparametric Predictive Inference for diagnostic accuracy
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Tahani Coolen-Maturi +2 more
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Nonparametric Predictive Inference for Binary Diagnostic Tests
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Tahani Coolen-Maturi +2 more
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Nonparametric Predictive Inference for Accuracy of Ordinal Diagnostic Tests
Journal of Statistical Theory and Practice, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Frank P A Coolen
exaly +3 more sources
A factor graph inference algorithm for diagnostic Bayesian networks
2011 Seventh International Conference on Natural Computation, 2011Factor tree inference algorithm (FTI) is an exact inference algorithm for diagnostic Bayesian networks (DBNs). Through computation sharing, the efficiency of FTI can be superior to conventional exact inference algorithms when answering multiple queries.
Haiyang Jia, Yungang Zhu, Dayou Liu
exaly +2 more sources
Towards the Unification of Inference Structures in Medical Diagnostic Tasks
Abstract:The central purpose of artificial intelligence applied to medicine is to develop models for diagnosis and therapy planning at the knowledge level, in the Newell sense, and software environments to facilitate the reduction of these models to the symbol level.
Mira, J +3 more
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A Comment on Diagnostic Tools for Counterfactual Inference
We evaluate two diagnostic tools used to determine if counterfactual analysis requires extrapolation. Counterfactuals based on extrapolation are model dependent and might not support empirically valid inferences. The diagnostics help researchers identify those counterfactual “what if” questions that are empirically plausible.
Nicholas Sambanis, Alexander Michaelides
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Bayesian inference and calibration of magnetic diagnostics
Review of Scientific Instruments, 2022The magnetic diagnostics across TAE Technologies’ compact toroid fusion device include 28 internal and 45 external flux loops that measure poloidal flux and axial field strength, 64 three-axis (radial, toroidal, and axial) Mirnov probes, and 22 internal and external, axial-only Mirnov probes.
K. H. Phung, J. A. Romero, T. Roche
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Misspecified Moment Inequality Models: Inference and Diagnostics
Review of Economic Studies, 2023Abstract This paper is concerned with possible model misspecification in moment inequality models. Two issues are addressed. First, standard tests and confidence sets for the true parameter in the moment inequality literature are not robust to model misspecification in the sense that they exhibit spurious precision when the identified ...
Andrews, Donald W. K., Kwon, Soonwoo
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