Results 21 to 30 of about 343,485 (273)
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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IEEE Access, 2022 In the field of speaker verification (SV), the development of noise-robust systems is a challenge for their deployment in real-world environments. Noise variability compensation is a common strategy for increasing the robustness to noise variations.
Sunghyun Yoon
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Minimax optimal conditional independence testing [PDF]
The Annals of Statistics, 2021 We consider the problem of conditional independence testing of $X$ and $Y$ given $Z$ where $X,Y$ and $Z$ are three real random variables and $Z$ is continuous. We focus on two main cases - when $X$ and $Y$ are both discrete, and when $X$ and $Y$ are both continuous.
Neykov, Matey +2 more
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Conditional Independence in Statistics [PDF]
, 2010 The theory of conditional independence is explained and the relations between ancillarity, sufficiency, and statistical independence are discussed in depth. Some related concepts like specific sufficiency, bounded completeness, and splitting sets are also studied in some details by using the language of conditional independence.
Basu, D., Pereira, Carlos A. B.
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Nonparametric conditional local independence testing [PDF]
The Annals of Statistics, 2023 62 pages, 10 figures.
Christgau, Alexander Mangulad +2 more
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Optimizing Epistemic Model Checking Using Conditional Independence (Extended Abstract) [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 This paper shows that conditional independence reasoning can be applied to optimize epistemic model checking, in which one verifies that a model for a number of agents operating with imperfect information satisfies a formula expressed in a modal multi-
Ron van der Meyden
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Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference [PDF]
, 2014 Exchangeability is a central notion in statistics and probability theory. The assumption that an infinite sequence of data points is exchangeable is at the core of Bayesian statistics.
Broeck, Guy Van den, Niepert, Mathias
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Sum of Bernoulli Mixtures: Beyond Conditional Independence
Journal of Probability and Statistics, 2014 We consider the distribution of the sum of Bernoulli mixtures under a general dependence structure. The level of dependence is measured in terms of a limiting conditional correlation between two of the Bernoulli random variables.
Taehan Bae, Ian Iscoe
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Conditional Demand and Endogeneity? A Case Study of Demand for Juice Products
Journal of Agricultural and Resource Economics, 1994 The question of endogeneity of conditional expenditures, as well as prices, in conditional demand equations for justices is examined. Both conditional expenditures and prices were found to be uncorrelated with the conditional demand errors, based on Wu ...
Mark G. Brown +2 more
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Complexity as Causal Information Integration
Entropy, 2020 Complexity measures in the context of the Integrated Information Theory of consciousness try to quantify the strength of the causal connections between different neurons.
Carlotta Langer, Nihat Ay
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