Results 11 to 20 of about 35,767 (304)
Conditional independence and predictive copula
4 open, 2022 In this paper, we address the concept of conditional independence between two random variables X and Y given the entity Θ. We identify the impact of conditional independence on the analytic form of the predictive 2-copula between X and Y.
González-López V.A. +1 more
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Conditional Independence by Typing [PDF]
ACM Transactions on Programming Languages and Systems, 2021 A central goal of probabilistic programming languages (PPLs) is to separate modelling from inference. However, this goal is hard to achieve in practice. Users are often forced to re-write their models to improve efficiency of inference or meet restrictions imposed by the PPL.
Gorinova, Maria I. +3 more
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Conditional Sure Independence Screening [PDF]
Journal of the American Statistical Association, 2016 Independence screening is a powerful method for variable selection for `Big Data' when the number of variables is massive. Commonly used independence screening methods are based on marginal correlations or variations of it. In many applications, researchers often have some prior knowledge that a certain set of variables is related to the response.
Barut, Emre +2 more
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Describing Conditional Independence Statements Using Undirected Graphs
Axioms, 2023 This paper investigates the capability of undirected graphs (UGs) to represent a set of Conditional Independence (CI) statements derived from a given probability distribution of a random vector. While it is established that certain axioms can govern this
Dhafer Malouche
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Bayesian test of independence and conditional independence of two ordinal variables [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 For analysis of contingency tables with large sample size, classical approaches using approximate methods have high power. However, when the sample size is small or some cells have frequencies less than 5, classical approaches are so conservative.
Zahra Saberi, Mojtab Ganjali
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Kernel-Based Independence Tests for Causal Structure Learning on Functional Data
Entropy, 2023 Measurements of systems taken along a continuous functional dimension, such as time or space, are ubiquitous in many fields, from the physical and biological sciences to economics and engineering.
Felix Laumann +4 more
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On Independence Neutrosophic Random Variables [PDF]
Neutrosophic Sets and Systems, 2021 In this article we study independence neutrosophic random variables and conditioned expectation, we prove that conditional variance is equal to neutrosophic conditional variance.
Carlos Granados, Jose Sanabria
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Disclosure, 2021 This study aimed to examine the effect of corporate governance and political connections on the application of conditional conservatism. The sample in this study are non-financial companies listed on Indonesia Stock Exchange period 2012-2018.
Herawansyah Herawansyah +2 more
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Floating search and conditional independence testing for causal feature selection [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 The curse of dimensionality and over-fitting problems are usually associated with high-dimensional data. Feature selection is one method that can overcome these problems.
Rakkrit Duangsoithong, Yuying Zhao
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Secondary and university students' understanding of independence and conditional probability
Scientia in Educatione, 2023 The primary objective of the study was to investigate the perceptions of Czech secondary and university students regarding independence in tasks involving multiple repetitions of random events and their understanding of conditional probability.
František Mošna
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