Probability, anti-resilience, and the weight of expectation

Hamer, David

doi:10.1093/lpr/mgs004

Cited by 11 publications

(6 citation statements)

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“…The proposed process focuses on a system of Markov chains, i.e., processes from Τ = ℕ 0 in a countable (or simply finite) space S , which have the Markov property [ 24 – 26 ]

…”

Section: Methodsmentioning

confidence: 99%

Privacy Leaks Protection in Music Streaming Services Using an Intelligent Permissions Management System

Wang

2022

Computational Intelligence and Neuroscience

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A security violation is referred to as a personal data breach when it leads to unintentional and unlawful destruction, loss, alteration, unauthorized disclosure, or access to personal data that has been communicated, stored, or otherwise processed in some other manner. Based on the principles of information security, we can define a breach of confidentiality as the unauthorized or accidental disclosure or access to personal data, a breach of integrity as the unauthorized or accidental alteration of personal data, and a breach of availability as the unauthorized or accidental loss of access to or destruction of personal data. This paper suggests designing an intelligent consensus policy management system based on the Markov chain approach. It is a novel system that would analyze the present status of the consensus elements for future development and anticipates the possibility of possible breaches of sensitive personal data. The evaluation of the proposed strategy is based on a policy scenario that involves a hypothetical consensus and a data breach of sensitive information to music streaming services.

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“…The proposed process focuses on a system of Markov chains, i.e., processes from Τ = ℕ 0 in a countable (or simply finite) space S , which have the Markov property [ 24 – 26 ]

…”

Section: Methodsmentioning

confidence: 99%

Privacy Leaks Protection in Music Streaming Services Using an Intelligent Permissions Management System

Wang

2022

Computational Intelligence and Neuroscience

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“…However, the entropies 􏽢 H IFS (A) and 􏽢 H IFS (A) correspond to the minimum and maximum probabilities [13,15,21], so the proposed ITWec calculates the number of maximum probable intervals within which an event is likely to occur based on an intuitive representation of fuzzy sets allowing the evaluation of data flow elements both as a member and for their noninclusion in a fuzzy set [54], which gives particular realism to the way of implementing the proposed method.…”

Section: Methodsmentioning

confidence: 99%

“…e monitored statistical properties are considered to show no or very small deviation in the times when no change is observed. Considering the above conditions, even small changes can be detected with a high probability [14,15]. e chance of detection may be even greater if these changes are persistent for some time.…”

Section: Introductionmentioning

confidence: 99%

An Intuitionistic Calculus to Complex Abnormal Event Recognition on Data Streams

Zhao

Guiqiu

et al. 2021

Security and Communication Networks

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Data mining in real-time data streams is associated with multiple types of uncertainty, which often leads the respective categorizers to make erroneous predictions related to the presence or absence of complex events. But recognizing complex abnormal events, even those that occur in extremely rare cases, offers significant support to decision-making systems. Therefore, there is a need for robust recognition mechanisms that will be able to predict or recognize when an abnormal event occurs or will occur on a data stream. Considering this need, this paper presents an Intuitionistic Tumbling Windows event calculus (ITWec) methodology. It is an innovative data analysis system that combines for the first time in the literature a set of multiple systems for Complex Abnormal Event Recognition (CAER). In the proposed system, the probabilities of the existence of a high-level complex abnormal event for each period are initially calculated nonparametrically, based on the probabilities of the low-level events associated with it. Because cumulative results are sought in consecutive, nonoverlapping sections of the data stream, the method uses the clearly defined rules of initialization and termination of the tumbling windows method, where there is an explicit determination of the time interval within which several blocks of a particular stream are investigated window. Finally, the number of maximum probable intervals in which an event is likely to occur based on a certain probability threshold is calculated, based on a parametric representation of intuitively fuzzy sets.

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“…Human rights indicators are therefore critical to the health of society and the national development agenda and can be classified into three categories namely; i) structural indicators that reflect the ratification or adoption of legal instruments and existence of basic institutional mechanisms deemed necessary for facilitating realisation of the concerned human right; ii) process indicators that relate the state policy instruments with milestones which accumulate into outcomes that can be more directly related to realisation of a right, hence capture accountability as well as the notion of progressive realisation; and iii) outcome indicators that capture attainments, individual and collective, and reflect the status of realisation of the human rights in a given context [ 1 - 4 ]. Statistics on the other hand renders a scientific approach to the development, assessment and monitoring of human rights indicators [ 5 , 6 ]. Hitherto, accuracy in developing statistically reliable human rights indicators has not been given the attention it deserves, probably not because of the process complexity, but maybe because of the fact that it is an assumed psychometric area of statistical application.…”

Section: Introductionmentioning

confidence: 99%

Health and human rights: a statistical measurement framework using household survey data in Uganda

Wesonga

Owino

Ssekiboobo

et al. 2015

BMC Int Health Hum Rights

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BackgroundHealth is intertwined with human rights as is clearly reflected in the right to life. Promotion of health practices in the context of human rights can be accomplished if there is a better understanding of the level of human rights observance. In this paper, we evaluate and present an appraisal for a possibility of applying household survey to study the determinants of health and human rights and also derive the probability that human rights are observed; an important ingredient into the national planning framework.MethodsData from the Uganda National Governance Baseline Survey were used. A conceptual framework for predictors of a hybrid dependent variable was developed and both bivariate and multivariate statistical techniques employed. Multivariate post estimation computations were derived after evaluations of the significance of coefficients of health and human rights predictors.ResultsFindings, show that household characteristics of respondents considered in this study were statistically significant (p < 0.05) to provide a reliable assessment of human rights observance. For example, a unit increase of respondents’ schooling levels results in an increase of about 34% level of positively assessing human rights observance. Additionally, the study establishes, through the three models presented, that household assessment of health and human rights observance was 20% which also represents how much of the entire continuum of human rights is demanded.ConclusionFindings propose important evidence for monitoring and evaluation of health in the context human rights using household survey data. They provide a benchmark for health and human rights assessments with a focus on international and national development plans to achieve socio-economic transformation and health in society.

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Probability, anti-resilience, and the weight of expectation

Cited by 11 publications

References 0 publications

Privacy Leaks Protection in Music Streaming Services Using an Intelligent Permissions Management System

Privacy Leaks Protection in Music Streaming Services Using an Intelligent Permissions Management System

An Intuitionistic Calculus to Complex Abnormal Event Recognition on Data Streams

Health and human rights: a statistical measurement framework using household survey data in Uganda

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