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Paraconsistent Sensitivity Analysis for Bayesian Significance Tests [chapter]

Julio Michael Stern
2004 Lecture Notes in Computer Science  
In this paper, the notion of degree of inconsistency is introduced as a tool to evaluate the sensitivity of the Full Bayesian Significance Test (FBST) value of evidence with respect to changes in the prior  ...  For that, both the definition of the FBST, a possibilistic approach to hypothesis testing based on Bayesian probability procedures, and the use of bilattice structures, as introduced by Ginsberg and Fitting  ...  Introduction and Summary The Full Bayesian Significance Test (FBST), first presented in [25] is a coherent Bayesian significance test for sharp hypotheses.  ... 
doi:10.1007/978-3-540-28645-5_14 fatcat:bm7elksaenf4jaswvodnqz6g6q

The full Bayesian significance test for mixture models: results in gene expression clustering

M.S. Lauretto, C.A.B. Pereira, J.M. Stern
2008 Genetics and Molecular Research  
Superior, CNPq -Conselho Nacional de Desenvolvimento Científico e Tecnológico, FAPESP -Fundação de Amparo à Pesquisa do Estado de São Paulo, and the University of São Paulo Program on Bioinformatics for  ...  The full Bayesian significance test for mixture models Two difficulties with this method are its lack of robustness due to local optimization and the sensitivity of the results to different distance and  ...  The theoretical core of the method is the full Bayesian significance test, an intuitive Bayesian approach, which needs no model complexity penalization nor positive probabilities for sharp hypotheses.  ... 
doi:10.4238/vol7-3x-meeting06 fatcat:je643afcpbh3nmuxylmo5xp3cy

Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review

Sanjeev B. Khanagar, Ali Al-Ehaideb, Satish Vishwanathaiah, Prabhadevi C. Maganur, Shankargouda Patil, Sachin Naik, Hosam A. Baeshen, Sachin S. Sarode
2020 Journal of Dental Sciences  
QUADAS-2 were adapted for quality analysis of the studies included.  ...  The literature for this paper was identified and selected by performing a thorough search for articles in the electronic data bases like Pubmed, Medline, Embase, Cochrane, and Google scholar, Scopus and  ...  Some studies also reported of using paraconsistent artificial neural network (PANNs) and bayesian network (BN).  ... 
doi:10.1016/j.jds.2020.05.022 pmid:33384838 pmcid:PMC7770284 fatcat:bmrdsxtltvgdtg2smsdquk2w6i

A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law

Marcelo S. Lauretto, Fabio Nakano, Silvio R. Faria Jr, Carlos A.B. Pereira, Julio M. Stern
2009 Genetics and Molecular Biology  
The core theory for the proposed method is given by the Full Bayesian Significance Test (FBST), an intuitive Bayesian approach which does not assign positive probabilities to zero measure sets when testing  ...  However, in this approach it is not obvious how to assess the general evidence of the original hypothesis; nor is it clear how to establish the significance level for its acceptance/rejection.  ...  Acknowledgments The authors are grateful for the support of EACH-USP, IQ-USP, IME-USP, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico  ... 
doi:10.1590/s1415-47572009000300028 pmid:21637528 pmcid:PMC3036052 fatcat:bgd4vnbmsrgx3av4filknsfgwm

The e-value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences [article]

Julio Michael Stern, Carlos Alberto de Braganca Pereira, Marcelo de Souza Lauretto, Luis Gustavo Esteves, Rafael Izbicki, Rafael Bassi Stern, Marcio Alves Diniz
2022 arXiv   pre-print
This statistical significance measure was developed in order to allow logically coherent and consistent tests of hypotheses, including sharp or precise hypotheses, via the Full Bayesian Significance Test  ...  Arguments of analysis allow a full characterization of this statistical test by its logical or compositional properties, showing a mutual complementarity between results of mathematical statistics and  ...  Abilio Azambuja Rodrigues Filho, Alfredo Roque de Oliveira Freire and Henrique Antunes Almeida for editing this special volume celebrating Walter's 70th birthday.  ... 
arXiv:2205.08010v2 fatcat:hiwgzoidszgzrnhbznicvmb2mi

The Rules of Logic Composition for the Bayesian Epistemic e-Values

W. Borges, J. M. Stern
2007 Logic Journal of the IGPL  
The e-value of a hypothesis H , ev(H ), is a Bayesian epistemic, credibility or truth value defined under the Full Bayesian Significance Testing (FBST) mathematical apparatus.  ...  Forthcoming articles work on applications using the results obtained in this paper for testing complex hypotheses that are conditionally independent, in the context of Dirchlet-Multinomial models, Bayesian  ...  The Rules of Logic Composition for the Bayesian Epistemic e-Values 417 Such procedures require only minor adaptations, with small computational overhead, of the MCMC for estimating ev(H ) = W (s * ), see  ... 
doi:10.1093/jigpal/jzm032 fatcat:o6pda7etbjfmxm7a7zfgbtl65u

Testing allele homogeneity: the problem of nested hypotheses

Rafael Izbicki, Victor Fossaluza, Ana Gabriela Hounie, Eduardo Yoshio Nakano, Carlos Alberto de Bragança Pereira
2012 BMC Genetics  
Conclusions: Contrary to more traditional approaches, the Full Bayesian Significance Test for association studies provides a simple, coherent and powerful tool for detecting associations.  ...  Finally, we introduce the Full Bayesian Significance Test to test both hypotheses and prove that the incoherence cannot happen with these new tests.  ...  We also thank them for all the patience and painstakingly reading. We thank the anonymous referees for their comments that much improved the quality of the paper.  ... 
doi:10.1186/1471-2156-13-103 pmid:23176636 pmcid:PMC3770452 fatcat:iz3tu3omjbbv3p23bunwu23bgu

An ensemble design of intrusion detection system for handling uncertainty using Neutrosophic Logic Classifier

B. Kavitha, Dr. S. Karthikeyan, P. Sheeba Maybell
2012 Knowledge-Based Systems  
In this paper we have introduced an emerging approach for intrusion detection system using Neutrosophic Logic Classifier which is an extension/combination of the fuzzy logic, intuitionistic logic, paraconsistent  ...  Using this new approach there is an increase in detection rate and the significant decrease in false alarm rate.  ...  The probabilistic approach [7] for detecting network intrusions using Bayesian networks (BNs) shows that the hand-crafted BN, in general, has outperformed naive Bayesian network and Learned BN.  ... 
doi:10.1016/j.knosys.2011.12.004 fatcat:wzerbsyst5ckzc3dr2snavov4u

The ways of using machine learning in dentistry

Monika Elżbieta Machoy, Liliana Szyszka-Sommerfeld, Andras Vegh, Tomasz Gedrange, Krzysztof Woźniak
2020 Advances in Clinical and Experimental Medicine  
Work on the introduction of public CDSS has been continued for years. The article presents the latest achievements in this field, analyzing their real-life application and credibility.  ...  Therefore, the introduction of multiparametric pattern recognition methods (statistics, machine learning and artificial intelligence (AI)) is a great hope for both the physicians and the patients.  ...  Neural network results were evaluated using a diagnostic test. The NN designed in this study had sufficient sensitivity, specificity and accuracy to be a model for detecting vertical root fractures.  ... 
doi:10.17219/acem/115083 pmid:32207586 fatcat:qmv4sncugracpedecyhod4r3rm

Effectiveness of Artificial Intelligence Applications Designed for Endodontic Diagnosis, Decision-making, and Prediction of Prognosis: A Systematic Review

Nezar Boreak
2020 Journal of Contemporary Dental Practice  
Clinical significance: These models can be of greater assistance as an expert opinion for less experienced and nonspecialists.  ...  A total of 10 studies that met our eligibility criteria were further analyzed for qualitative data. QUADAS-2 was applied for synthesis of the quality of the studies included.  ...  radiographs Mean AUC was 0.87 12 Classifiers (+) Effective The proposed system with Bayesian networks was tested in a real environment and the results obtained are promising.  ... 
doi:10.5005/jp-journals-10024-2894 fatcat:t5642etvbjdcdpgyru7jwe7d4i

Self-recognition in conversational agents [article]

Yigit Oktar, Erdem Okur, Mehmet Turkan
2021 arXiv   pre-print
However, for this to happen the agent must exhibit the idea of self and distinguish oneself from others.  ...  in a constructive manner still within the bounds of the Turing test.  ...  Consistent machines, Gödel and paraconsistent logic.  ... 
arXiv:2002.02334v3 fatcat:zlqo7xnu4nhnjevjgg7nxhdhcq

Model fusion of deep neural networks for anomaly detection

Nouar AlDahoul, Hezerul Abdul Karim, Abdulaziz Saleh Ba Wazir
2021 Journal of Big Data  
AbstractNetwork Anomaly Detection is still an open challenging task that aims to detect anomalous network traffic for security purposes.  ...  Consent for publication Not applicable.  ...  Authors' contributions Formal analysis, NA; methodology, NA, and HAK; writing-original draft, NA and ASBW; writing-review and editing, NA, HAK and ASBW.  ... 
doi:10.1186/s40537-021-00496-w fatcat:zokctpwqcvbljowg6fk5l43xyy

Classification of Attention Deficit Hyperactivity Disorder (ADHD) Considering Diagnosis and Treatment

Sumathi M, Dept. of Information Science and Engineering, Don Bosco Institute of Technology, Bengaluru, India 560 074, Nagaraj G Cholli, Shantharam Nayak
2019 International Journal of Modern Education and Computer Science  
An analysis of brain signals [11] is a crucial factor for ADHD, paraconsistent procedure provides 80% of kappa index for ADHD, and still there is a scope for improvement of sensitivity factor.  ...  A single sweep analysis [4] method applied on 25 controlled and 25 ADHD boys and proved it is a sensitive method for investigation it has another advantage is group specific distinctions can also be  ... 
doi:10.5815/ijmecs.2019.06.04 fatcat:5ok5l7iu4vf2pfat6nmvsmsvyu

Spencer-Brown vs. Probability and Statistics: Entropy's Testimony on Subjective and Objective Randomness

Julio Michael Stern
2011 Information  
This article analyzes the role of entropy in Bayesian statistics, focusing on its use as a tool for detection, recognition and validation of eigen-solutions.  ...  Acknowledgements The author is grateful for the support of the Department of Applied Mathematics of the Institute of Mathematics and Statistics of the University of São Paulo, FAPESP-Fundação de Amparoà  ...  The author is also grateful for the helpful discussions with several of his professional colleagues, including Carlos Alberto de Bragança Pereira, Fernando Bonassi, Luis Esteves, Marcelo de Souza Lauretto  ... 
doi:10.3390/info2020277 fatcat:pxmfftxbrbacnebepxwkradhem

The Artificial Intelligence Approach for Diagnosis, Treatment and Modelling in Orthodontic [chapter]

Kazem Bahaa, Garma Noor, Yousif Yousif
2011 Principles in Contemporary Orthodontics  
And once again the paraconsistent logic suggested as a model for detection and treatment of contradictions, enriching the use of soft mathematics tools in biology. research intends to test such model,  ...  The informational importance of the cephalometric analysis was accompanied by many unnegligible sites of imprecision, this significant degrees of vagueness, and even inconsistency, was also making clinical  ...  The Artificial Intelligence Approach for Diagnosis, Treatment and Modelling in Orthodontic, Principles in Contemporary Orthodontics, Dr.  ... 
doi:10.5772/19597 fatcat:m34amyuapbasviwznkag2u6u5y
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