Results 11 to 20 of about 343,485 (273)
Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Journal of Causal Inference, 2019 Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI) testing. The Kernel Conditional Independence Test (KCIT) is currently one of the most popular CI tests in the non-parametric setting, but many ...
Strobl Eric V. +2 more
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Conditional Independence in Statistical Theory
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1979 Summary Some simple heuristic properties of conditional independence are shown to form a conceptual framework for much of the theory of statistical inference. This framework is illustrated by an examination of the rôle of conditional independence in several diverse areas of the field of statistics.
A Philip Dawid
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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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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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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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Targeting: Logistic Regression, Special Cases and Extensions
ISPRS International Journal of Geo-Information, 2014 Logistic regression is a classical linear model for logit-transformed conditional probabilities of a binary target variable. It recovers the true conditional probabilities if the joint distribution of predictors and the target is of log-linear form ...
Helmut Schaeben
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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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Undirected Structural Markov Property for Bayesian Model Determination
Mathematics, 2023 This paper generalizes the structural Markov properties for undirected decomposable graphs to arbitrary ones. This helps us to exploit the conditional independence properties of joint prior laws to analyze and compare multiple graphical structures, while
Xiong Kang, Yingying Hu, Yi Sun
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Online Streaming Feature Selection via Conditional Independence
Applied Sciences, 2018 Online feature selection is a challenging topic in data mining. It aims to reduce the dimensionality of streaming features by removing irrelevant and redundant features in real time.
Dianlong You +7 more
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Bayesian Test of Significance for Conditional Independence: The Multinomial Model
Entropy, 2014 Conditional independence tests have received special attention lately in machine learning and computational intelligence related literature as an important indicator of the relationship among the variables used by their models.
Pablo de Morais Andrade +2 more
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