Rare variants detection with kernel machine learning based on likelihood ratio test. [PDF]
PLoS ONE, 2014 This paper mainly utilizes likelihood-based tests to detect rare variants associated with a continuous phenotype under the framework of kernel machine learning.
Ping Zeng +4 more
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Ancestral alleles defined for 70 million cattle variants using a population-based likelihood ratio test [PDF]
Genetics Selection EvolutionBackground The study of ancestral alleles provides insights into the evolutionary history, selection, and genetic structures of a population. In cattle, ancestral alleles are widely used in genetic analyses, including the detection of signatures of ...
Jigme Dorji +6 more
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rSeqDiff: detecting differential isoform expression from RNA-Seq data using hierarchical likelihood ratio test. [PDF]
PLoS ONE, 2013 High-throughput sequencing of transcriptomes (RNA-Seq) has recently become a powerful tool for the study of gene expression. We present rSeqDiff, an efficient algorithm for the detection of differential expression and differential splicing of genes from ...
Yang Shi, Hui Jiang
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Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients. [PDF]
PLoS ONE, 2014 This paper shows an adaptive statistical test for QRS detection of electrocardiography (ECG) signals. The method is based on a M-ary generalized likelihood ratio test (LRT) defined over a multiple observation window in the Fourier domain. The motivations
Juan Manuel Górriz +6 more
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Likelihood Ratio Test and Non-parametric Test for Load Sharing
Austrian Journal of Statistics, 2021 In present article, we propose a likelihood ratio test and a non-parametric test for testing the load sharing effect observed in the two component parallel load sharing system.
Santosh Shashikant Sutar
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New Forms of Likelihood Ratio Test for SAR Change Detection
IEEE Access, 2021 The Neyman-Pearson lemma, i.e., the likelihood ratio test and its generalized version, have been used for the development of the synthetic aperture radar (SAR) change detection methods.
Viet T. Vu +2 more
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How to use χ2 test correctly——the likelihood ratio test and the implementation of SAS software
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the likelihood ratio test and the SAS implementation. Specifically， three definitions of the likelihood ratio test statistics and six more commonly used likelihood ratio test statistics were introduced.
Hu Chunyan, Hu Liangping
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Distributed Intermittent Fault Diagnosis in Wireless Sensor Network Using Likelihood Ratio Test
IEEE Access, 2023 In current days, sensor nodes are deployed in hostile environments for various military and commercial applications. Sensor nodes are becoming faulty and having adverse effects in the network if they are not diagnosed and inform the fault status to other
Bhabani Sankar Gouda +7 more
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Target Maneuver Detection Method Based on Likelihood Ratio Test [PDF]
Hangkong bingqiAiming at the target maneuver detection in antagonistic process, a detection method is proposed based on likelihood ratio test. Based on the target real time observation data, the target detection problem is translated into the problem of time series ...
Shao Lei, He Yangchao, Zhao Jin
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A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
MethodsX, 2023 Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli +2 more
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