Results 1 to 10 of about 2,690,705 (301)
Australian Critical Care, 2009 PowerPoint slides for Hypothesis Testing.
Bryant, Trevor
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Online multiple hypothesis testing. [PDF]
Stat Sci, 2023 Updated in response to reviewer ...
Robertson DS, Wason JMS, Ramdas A.
europepmc +5 more sources
Distributed Hypothesis Testing with Privacy Constraints
Entropy, 2019 We revisit the distributed hypothesis testing (or hypothesis testing with communication constraints) problem from the viewpoint of privacy. Instead of observing the raw data directly, the transmitter observes a sanitized or randomized version of it.
Atefeh Gilani +3 more
doaj +3 more sources
Transfer Learning in Multiple Hypothesis Testing [PDF]
EntropyIn this investigation, a synthesis of Convolutional Neural Networks (CNNs) and Bayesian inference is presented, leading to a novel approach to the problem of Multiple Hypothesis Testing (MHT). Diverging from traditional paradigms, this study introduces a
Stefano Cabras +1 more
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Bayesian Hypothesis Testing for Block Sparse Signal Recovery [PDF]
, 2015 This letter presents a novel Block Bayesian Hypothesis Testing Algorithm (Block-BHTA) for reconstructing block sparse signals with unknown block structures.
Mehdi Korki, Hadi Zayyani, Jingxin Zhang
openalex +3 more sources
Hypothesis testing using R [PDF]
Digital Diagnostics, 2023 Competencies in statistical data processing are becoming increasingly important for modern scientists. The apparent advantages of open-source software for statistical analysis are its accessibility and adaptability.
Ivan A. Blokhin +4 more
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Testing the superstar firm hypothesis
Journal of Applied Economics, 2022 Firms with superior productivity, labeled superstar firms, are argued to be the link between rising concentration and the fall of the aggregate labor share in the US.
Caroline Stiel, Alexander Schiersch
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Testing the facsimile accommodation hypothesis
Acta Psychologica, 2022 Research has failed to find evidence for a genuineness effect: the idea that aesthetic experiences are better when looking at real artworks versus reproductions of those artworks.
Eva Specker, Helmut Leder
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Circulation, 2006 The process of drawing conclusions about an entire population on the basis of the information contained in a random sample drawn from that population is known as statistical inference. Methods of statistical inference fall into 2 general categories: estimation and hypothesis testing.
Roger B, Davis, Kenneth J, Mukamal
openaire +5 more sources
Instance-Based Classification Through Hypothesis Testing
IEEE Access, 2021 Classification is a fundamental problem in machine learning and data mining. During the past decades, numerous classification methods have been presented based on different principles. However, most existing classifiers cast the classification problem as
Zengyou He +3 more
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