Results 101 to 110 of about 152,582 (189)
Differential effects of neurodegeneration biomarkers on subclinical cognitive decline
Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 2019 Introduction Neurodegeneration appears to be the biological mechanism most proximate to cognitive decline in Alzheimer's disease. We test whether t‐tau and alternative biomarkers of neurodegeneration—neurogranin and neurofilament light protein (NFL)—add ...
Andrew P. Merluzzi +10 more
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Non-coherent demodulation algorithm of MSK based on differential composite
Tongxin xuebao, 2018 An algorithm of MSK demodulation based on differential composite grid was proposed. The MSK differential composite grid was constructed by phase deflection, and the optimal path in the composite grid was selected by comparing the likelihood function ...
Wenbiao TIAN +3 more
doaj +2 more sources
Copula-based dynamic conditional correlation multiplicative error processes : [Version 18 April 2013] [PDF]
, 2013 We introduce a copula-based dynamic model for multivariate processes of (non-negative) high-frequency trading variables revealing time-varying conditional variances and correlations.
Hautsch, Nikolaus, Bodnar, Taras
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Sparse composite likelihood approaches for high dimensional data [PDF]
, 2019 © 2019 Dr. Zhendong HuangThe idea of the likelihood function, which plays an important role in the his- tory of statistics, has been widely used in many areas in parametric statistics.
Huang, Zhendong
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A restricted composite likelihood approach to modelling Gaussian geostatistical data [PDF]
, 2014 Composite likelihood methods have become popular in spatial statistics. This is mainly due to the fact that large matrices need to be inverted in full maximum likelihood and this becomes computationally expensive when you have a large number of regions ...
FAES, C. +2 more
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RisksModeling loss data is a crucial aspect of actuarial science. In the insurance industry, small claims occur frequently, while large claims are rare. Traditional heavy-tail distributions, such as Weibull, Log-Normal, and Inverse Gaussian distributions, are
Mostafa S. Aminzadeh, Min Deng
doaj +1 more source
Composite likelihood methods in statistical genetics [PDF]
, 2011 Due to the dimension and the dependency structure of genetic data, composite likelihood methods have found their natural place in the statistical methodo-logy involving such data. After a brief description of the type of data one encounters in population
Fearnhead, Paul, Larribe, Fabrice
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Maximum likelihood estimation using composite likelihoods for closed exponential families [PDF]
, 2017 In certain multivariate problems the full probability density has an awkward normalizing constant, but the conditional and/or marginal distributions may be much more tractable.
Taylor, Charles C. +3 more
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Composite likelihood and two-stage estimation in family studies [PDF]
, 2002 Composite likelihood; Two-stage estimation; Family studies; Copula; Optimal weights; All possible ...
Andersen, Elisabeth Anne Wreford
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Investigation of selection signatures of dairy goats using whole-genome sequencing data
BMC GenomicsDairy goats, a livestock species with a long history of milk production, are essential for the economic advancement of nations, particularly in regions experiencing growth.
Weifeng Peng +18 more
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