Results 11 to 20 of about 1,044,082 (362)
Conditional Probability Distributions in the Wide Sense [PDF]
Introduction. Doob [3, p. 29],2 has shown that if Q= [U, Al, u] is a probability space (i.e. cL is a o-field of subsets of a set U and u is a countably additive non-negative measure defined on 'U, normalized by the condition u(U) =1) and cto is a o-subfield of cl, and y is an n-dimensional random variable mapping U into an n-dimensional Euclidean space
Lester E. Dubins
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Copula-based multivariate analysis of hydrological drought over jiabharali sub-basin of Brahmaputra River, India [PDF]
In this study, copula-based multivariate hydrological drought analysis was carried out in the Jiabharali (Kameng) River in Arunachal Pradesh, a sub-tributary of Brahmaputra River, India. Different drought characteristics – severity (S), duration (D), and
Bivek Chakma +7 more
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The Estimation of Tree Posterior Probabilities Using Conditional Clade Probability Distributions [PDF]
In this article I introduce the idea of conditional independence of separated subtrees as a principle by which to estimate the posterior probability of trees using conditional clade probability distributions rather than simple sample relative frequencies. I describe an algorithm for these calculations and software which implements these ideas.
Bret Larget
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De Finetti Theorems for Quantum Conditional Probability Distributions with Symmetry [PDF]
AbstractThe aim of device-independent quantum key distribution (DIQKD) is to study protocols that allow the generation of a secret shared key between two parties under minimal assumptions on the devices that produce the key. These devices are merely modeled as black boxes and mathematically described as conditional probability distributions.
Sven Jandura, Ernest Y.-Z. Tan
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Shingo Shirahata, Hideo Hirose
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Diverse Semantic Image Synthesis via Probability Distribution Modeling [PDF]
Semantic image synthesis, translating semantic layouts to photo-realistic images, is a one-to-many mapping problem. Though impressive progress has been recently made, diverse semantic synthesis that can efficiently produce semantic-level multimodal ...
Zhentao Tan +7 more
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Continuous and Distribution-Free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach [PDF]
We present a data-driven approach for probabilistic wind power forecasting based on conditional normalizing flow (CNF). In contrast with the existing, this approach is distribution-free (as for non-parametric and quantile-based approaches) and can ...
Honglin Wen +4 more
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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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Further characterization based on conditional expectations: new and extended findings
On the basis of conditional expectation of a random variable function, we present few characterization findings in this study. For a given function g, [Formula: see text], we present necessary and sufficient conditions for characterization results in ...
Ali. A. Al-Shomrani
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