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Some results on non-central beta distributions
Statistica, 2015 In this paper a new non-central beta distribution is defined. Several properties are derived (including various representations and moments expressions) both for the new and the standard non-central beta distribution, showing a greater tractability and ...
Andrea Ongaro, Carlo Orsi
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Theory of Barnes Beta distributions
Electronic Communications in Probability, 2013 15 pages, published version (removed Th. 4.5 and Section 5, updated references)
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Enhancing crop insurance analysis with agricultural zoning data [PDF]
Revista de Economia e Sociologia RuralThis article proposes a framework for integrating agricultural zoning data into insurance risk analysis. It is based on combining official public information from the Brazilian zoning program, ZARC, with open insurance data provided by the Brazilian ...
Gilson Martins, Guilherme Signorini
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Probabilistic Machine Learning Using Bayesian Inference
Undergraduate Journal of Mathematical Modeling: One + Two, 2020 Machine Learning is a branch of AI (Artificial Intelligence) which expands on the idea of a computational system extending its knowledge about set methodical behaviors from the data that is fed to it to essentially develop analytical skills that can help
Mayank Pandey
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Evaluating Trust Management Frameworks for Wireless Sensor Networks
SensorsWireless Sensor Networks (WSNs) are crucial in various fields including Health Care Monitoring, Battlefield Surveillance, and Smart Agriculture. However, WSNs are susceptible to malicious attacks due to the massive quantity of sensors within them. Hence,
Pranav Gangwani +2 more
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RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression
Journal of Statistical Software, 2016 An important task in astroparticle physics is the detection of periodicities in irregularly sampled time series, called light curves. The classic Fourier periodogram cannot deal with irregular sampling and with the measurement accuracies that are ...
Anita M. Thieler +2 more
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SOLVING ASSIGNMENT PROBLEM WITH LINGUISTIC COSTS
Journal of New Theory, 2017 – The purpose of this paper is to solve an assignment problem with linguistic costs/ times. In this paper, an assignment problem has been considered whose costs/times relating to the problem are linguistic variables and its solution methodology has been ...
Laxminarayan Sahoo, Santanu Kumar Ghosh
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Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders
IEEE AccessThe current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities because they cannot understand dynamic, complex, and high ...
R. Tejaswini +6 more
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Hierarchical Dynamic Beta Model
Revstat Statistical Journal, 2016 We develop a hierarchical dynamic Bayesian beta model for modelling a set of time series of rates or proportions. The proposed methodology enables to combine the information contained in different time series so that we can describe a common underlying ...
Cibele Queiroz Da-Silva +1 more
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IEEE AccessThe beta distribution is considered the most popular for modeling double-bounded data, such as rates and percentages. But when it comes to double-bounded hydrological data, it often does not show an adequate fit to such data.
Hassan Eid Elghaly +2 more
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