The Geometry of Generalized Likelihood Ratio Test [PDF]
Entropy, 2022 The generalized likelihood ratio test (GLRT) for composite hypothesis testing problems is studied from a geometric perspective. An information-geometrical interpretation of the GLRT is proposed based on the geometry of curved exponential families.
Yongqiang Cheng +2 more
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Revisiting Chernoff Information with Likelihood Ratio Exponential Families [PDF]
Entropy, 2022 The Chernoff information between two probability measures is a statistical divergence measuring their deviation defined as their maximally skewed Bhattacharyya distance.
Frank Nielsen
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Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset. [PDF]
PLoS ONE, 2021 A likelihood ratio (LR) system is defined as the entire pipeline of the measurement and interpretation processes where probabilistic genotyping software (PGS) is a piece of the whole LR system. To gain understanding on how two LR systems perform, a total
Sarah Riman, Hari Iyer, Peter M Vallone
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A likelihood ratio framework for inferring close kinship from dynamically selected SNPs [PDF]
Frontiers in GeneticsForensic genetic genealogy (FGG) is a force-multiplier for human identification, leveraging dense single nucleotide polymorphism (SNP) data to infer relationships through identity by descent (IBD) segment analysis.
Jianye Ge +6 more
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Performance Evaluation of Source Camera Attribution by Using Likelihood Ratio Methods [PDF]
Journal of Imaging, 2021 Performance evaluation of source camera attribution methods typically stop at the level of analysis of hard to interpret similarity scores. Standard analytic tools include Detection Error Trade-off or Receiver Operating Characteristic curves, or other ...
Pasquale Ferrara +2 more
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Likelihood Ratio Approach and Clinical Interpretation of Laboratory Tests [PDF]
Frontiers in Immunology, 2021 Walter Fierz +2 more
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Obtaining reliable likelihood ratio tests from simulated likelihood functions. [PDF]
PLoS ONE, 2014 MIXED MODELS: Models allowing for continuous heterogeneity by assuming that value of one or more parameters follow a specified distribution have become increasingly popular. This is known as 'mixing' parameters, and it is standard practice by researchers-
Laura Mørch Andersen
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Determination and Validation of a Lower Cut Off Value of Cerebrospinal Fluid Adenosine Deaminase (CSF-ADA) Activity in Diagnosis of Tuberculous Meningitis [PDF]
Journal of Clinical and Diagnostic Research, 2017 Introduction: Tuberculous meningitis is an infection of the meninges caused by Mycobacterium tuberculosis. It is one of the most common infectious diseases of the Central Nervous System (CNS) and a major health problem in developing countries like ...
Raviraj, Renoy A Henry, G. Ganapathi Rao
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Understanding likelihood ratios
Current Medicine Research and Practice, 2012 The utility of a diagnostic test is expressed in various statistical terms such as sensitivity, specificity, positive predictive value, negative predictive value and so on.
Sourabh Singh +3 more
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Log-Likelihood Ratio to Improve Hard DecisionViterbi Algorithm [PDF]
Engineering and Technology Journal, 2013 Hard decision of Viterbi decoder suffer from the need of high Signal to Noise Ratio (SNR) to achieve reasonable Bit Error Rate (BER). For the purpose of improving the efficiency of its performance, it must increase the constraint length of the code, in ...
Mahmood Farhan Mosleh, Fa’aza Abid
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