Results 11 to 20 of about 2,159,056 (285)
Conditional probability of derangements and fixed points [PDF]
Transactions on Combinatorics, 2023 The probability that a random permutation in $S_n$ is a derangement is well known to be $\displaystyle\sum\limits_{j=0}^n (-1)^j \frac{1}{j!}$. In this paper, we consider the conditional probability that the $(k+1)^{st}$ point is fixed, given there are ...
Sam Gutmann, Mark Mixer, Steven Morrow
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Conditional Belief, Knowledge and Probability [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 A natural way to represent beliefs and the process of updating beliefs is presented by Bayesian probability theory, where belief of an agent a in P can be interpreted as a considering that P is more probable than not P. This paper attempts to get at the
Jan van Eijck, Kai Li
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Geophysical Research Letters, 2021 Most attribution studies tend to focus on the impact of anthropogenic forcing on individual variables. However, studies have already established that many climate variables are interrelated, and therefore, multidimensional changes can occur in response ...
F. Chiang +4 more
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Conditional Probability Models for Deep Image Compression [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Deep Neural Networks trained as image auto-encoders have recently emerged as a promising direction for advancing the state-of-the-art in image compression.
Fabian Mentzer +4 more
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Conditional probability of jumps in oil prices
Revista Mexicana de Economía y Finanzas Nueva Época REMEF, 2021 The objective of this research is to model the behavior of oil returns. The volatility of oil returns is described through a TGARCH process. Conditional probability jumps are incorporated through uniform, double exponential and normal jump intensity ...
Arturo Lorenzo-Valdés
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Conditional Intuitionistic Fuzzy Mean Value
Axioms, 2021 The conditional mean value has applications in regression analysis and in financial mathematics, because they are used in it. We can find papers from recent years that use the conditional mean value in fuzzy cases.
Katarína Čunderlíková
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Martingale Convergence Theorem for the Conditional Intuitionistic Fuzzy Probability
Mathematics, 2020 For the first time, the concept of conditional probability on intuitionistic fuzzy sets was introduced by K. Lendelová. She defined the conditional intuitionistic fuzzy probability using a separating intuitionistic fuzzy probability.
Katarína Čunderlíková
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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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Engineering applications of artificial intelligence, 2020 Discrete Bayesian Belief Network (BBN) has become a popular method for the analysis of complex systems in various domains of application. One of its pillar is the specification of the parameters of the probabilistic dependence model (i.e.
J. Rohmer
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Energies, 2022 How to consider both the influence of weather and wind power in the modeling process of probability distribution of wind power forecast error (WPFE), and to emphasize the application value of conditional modeling, is rarely studied at present. This paper
Jian Yang +5 more
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