Results 41 to 50 of about 371,316 (301)
A Bayesian Method for Characterizing Population Heterogeneity
Games, 2019 A stylized fact from laboratory experiments is that there is much heterogeneity in human behavior. We present and demonstrate a computationally practical non-parametric Bayesian method for characterizing this heterogeneity.
Dale O. Stahl
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Model selection for the extraction of movement primitives
Frontiers in Computational Neuroscience, 2013 A wide range of blind source separation methods have been used in motor control research for the extraction of movement primitives from EMG and kinematic data.
Dominik M Endres +2 more
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A Bayesian Method Reexamined [PDF]
, 1994 Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)
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Bayesian methods for analyzing true-and-error models [PDF]
Judgment and Decision Making, 2018 Birnbaum and Quispe-Torreblanca (2018) evaluated a set of six models developed under true-and-error theory against data in which people made choices in repeated gambles.
Michael D. Lee
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Introducing Bayesian Analysis With m&m's®: An Active-Learning Exercise for Undergraduates
Journal of Statistics Education, 2019 We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-covered chocolate m&m’s®. The exercise is best suited for small class sizes and tutorial settings, after students have been introduced to the concepts of ...
Gwendolyn Eadie +3 more
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A Sequential Algorithm for Signal Segmentation
Entropy, 2018 The problem of event detection in general noisy signals arises in many applications; usually, either a functional form of the event is available, or a previous annotated sample with instances of the event that can be used to train a classification ...
Paulo Hubert +2 more
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Bayesian methods for classification inappropriate web pages
Visión Electrónica, 2017 The incursion of the Internet has created new forms of information and communication, but it can also carry great dangers, when its use is related to inappropriate content, such as, access to harmful contents and the rise of new kinds of crimes.
Jorge E. Rodríguez R +1 more
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Bayesian Methods for Graph Clustering [PDF]
, 2009 Networks are used in many scientific fields such as biology, social science, and information technology. They aim at modelling, with edges, the way objects of interest, represented by vertices, are related to each other. Looking for clusters of vertices, also called communities or modules, has appeared to be a powerful approach for capturing the ...
Latouche, Pierre +2 more
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Nuclear waste characterization using Bayesian methods [PDF]
EPJ Web of ConferencesThe relance of the nuclear industrial sector in France is an ambitious plan expected to meet the energy needs of the general public in the 21st century. Along with the construction of new nuclear power plants, advancements are taking place in the fields ...
Chalil Achment +5 more
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Bayesian Methods in the Field of Rehabilitation
American Journal of Physical Medicine & Rehabilitation, 2019 Abstract Bayesian techniques, as an alternative method of statistical analysis in rehabilitation studies, have some advantages such as handling small sample sizes, allowing incorporation of previous experience of the researchers or clinicians, being suitable for different kinds of studies, and managing highly complex models.
Quintela-del-Río, Alejandro +5 more
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