Conditional probabilities and Bayesian theorem in the study of animal disease introduction. (a didactic approach in environmental risk analysis) [PDF]
MethodsX, 2022 Bayesian analysis is one of the topics included in the subject “Environmental Risk Analysis” taught at the Faculty of Agronomy of the University of Buenos Aires, Argentina.
Daniela Laura Picardi
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What type of relationship is learned during visual statistical learning? [PDF]
PLoS ONEStatistical learning enables observers to extract regularities from their environment, but what statistical regularity is extracted remains debated. While previous research has mainly focused on conditional probability, recent evidence suggests that ...
İlayda Nazlı, Floris P de Lange
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On the implementation of maximum entropy sampling with unequal probabilities and without replacement [PDF]
MethodsXSampling with maximum entropy offers robustness to statistical inference based on randomization theory. However, there were no comprehensive, practical guides explaining how to implement maximum entropy sampling for finite populations with unequal ...
Philippe Aubry
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Deep neural networks for rank-consistent ordinal regression based on conditional probabilities [PDF]
Pattern Analysis and Applications, 2021 In recent times, deep neural networks achieved outstanding predictive performance on various classification and pattern recognition tasks. However, many real-world prediction problems have ordinal response variables, and this ordering information is ...
Xintong Shi, Wenzhi Cao, S. Raschka
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Calibrating Sequence likelihood Improves Conditional Language Generation [PDF]
International Conference on Learning Representations, 2022 Conditional language models are predominantly trained with maximum likelihood estimation (MLE), giving probability mass to sparsely observed target sequences.
Yao Zhao +5 more
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Relational observables, reference frames, and conditional probabilities [PDF]
, 2020 We discuss the construction of relational observables in time-reparametrization invariant quantum mechanics, and we argue that their physical interpretation can be understood in terms of conditional probabilities, which are defined from the solutions of ...
Leonardo Chataignier
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On the Conditional Probabilities in PRA [PDF]
INCAS Bulletin, 2016 Mathematical modeling of existing hazards and risks in a system such as aviation starts from identifying and evaluating significant numerical parameters by different procedures.
Casandra Venera BALAN
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Towards a Categorical Account of Conditional Probability [PDF]
Electronic Proceedings in Theoretical Computer Science, 2015 This paper presents a categorical account of conditional probability, covering both the classical and the quantum case. Classical conditional probabilities are expressed as a certain "triangle-fill-in" condition, connecting marginal and joint ...
Robert Furber, Bart Jacobs
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Extending Kolmogorov’s Axioms for a Generalized Probability Theory on Collections of Contexts
Entropy, 2022 Kolmogorov’s axioms of probability theory are extended to conditional probabilities among distinct (and sometimes intertwining) contexts. Formally, this amounts to row stochastic matrices whose entries characterize the conditional probability to find ...
Karl Svozil
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Conditionals, Causality and Conditional Probability [PDF]
Journal of Logic, Language and Information, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Robert van Rooij, Katrin Schulz
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