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A Rational Model of Elemental Diagnostic Inference
, 2009 Mayrhofer, Ralf +2 more
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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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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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Circular Inference in Dementia Diagnostics
Journal of Alzheimer's Disease, 2018Referring to recent international articles stating that amyloid imaging or detection has a high additive value in making a diagnosis of Alzheimer’s disease (AD) when previous investigations are inconclusive, the authors of this editorial argue that this statement is based on circular reasoning and, hence, misleading.
Høilund-Carlsen, Poul F. +4 more
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Nonparametric Predictive Inference for diagnostic accuracy
Journal of Statistical Planning and Inference, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Coolen-Maturi, Tahani +2 more
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Nonparametric Predictive Inference for Binary Diagnostic Tests
Journal of Statistical Theory and Practice, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Coolen-Maturi, Tahani +2 more
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Profile-Likelihood Inference for Highly Accurate Diagnostic Tests
Biometrics, 2002We consider profile-likelihood inference based on the multinomial distribution for assessing the accuracy of a diagnostic test. The methods apply to ordinal rating data when accuracy is assessed using the area under the receiver operating characteristic (ROC) curve.
Tsimikas, John V. +3 more
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Abduction and Diagnostic Inference
1990Abduction is a type of logic or reasoning which derives plausible explanations for the data at hand. In this book, formal and computational models of the abductive reasoning process that underlies diagnostic problem- solving are considered. The core material presented is that of “parsimonious covering theory” and various extensions to it.
Yun Peng, James A. Reggia
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Diagnostic plots for improved parameterization in Bayesian inference
Biometrika, 1993SUMMARY A major problem with the Bayesian analysis of statistical models is that the computation of posterior and predictive summaries typically requires the numerical evaluation of complicated multivariate integrals. The accuracy and efficiency of these computations are usually sensitive to the choice of parameterization for the statistical model ...
Hills, Susan E., Smith, Adrian F. M.
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Diagnostic Inference Model error sources
Proceedings of AUTOTESTCON '94, 2002Application of tools such as WSTA, DARTS, STAT and STAMP is now widely accepted as a viable approach to determining the testability of systems and developing rigorous and efficient test strategies. These tools an have one thing in common-the dependency model, more recently known as the diagnostic inference model. The author discusses error sources that
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