Results 51 to 60 of about 152,582 (189)
Model-Based Manifest and Latent Composite Scores in Structural Equation Models
Collabra: Psychology, 2019 Composite scores are commonly used in the social sciences as dependent and independent variables in statistical models. Typically, composite scores are computed prior to statistical analyses.
Norman Rose +3 more
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Barekeng, 2023 The Composite Stock Price Index (CSPI) is a valuable number in assessing the performance of the stocks listed on the stock exchange; by looking at the Composite Stock Price Index, investors can determine their investment strategy.
Sri Endang Saleh +3 more
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Theoretical Properties of Composite Likelihoods
Open Journal of Statistics, 2014 The general functional form of composite likelihoods is derived by minimizing the Kullback-Leibler distance under structural constraints associated with low dimensional densities. Connections with the I-projection and the maximum entropy distributions are shown.
Xiaogang Wang, Yuehua Wu
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ABLE: blockwise site frequency spectra for inferring complex population histories and recombination
Genome Biology, 2018 We introduce ABLE (Approximate Blockwise Likelihood Estimation), a novel simulation-based composite likelihood method that uses the blockwise site frequency spectrum to jointly infer past demography and recombination.
Champak R. Beeravolu +3 more
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Fast Construction of Optimal Composite Likelihoods
Statistica SinicaA composite likelihood is a combination of low-dimensional likelihood objects useful in applications where the data have complex structure. Although composite likelihood construction is a crucial aspect influencing both computing and statistical properties of the resulting estimator, currently there does not seem to exist a universal rule to combine ...
Huang, Zhendong, Ferrari, Davide
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Multiple Comparisons Using Composite Likelihood in Clustered Data [PDF]
The International Journal of Biostatistics, 2016 Abstract We study the problem of multiple hypothesis testing for correlated clustered data. As the existing multiple comparison procedures based on maximum likelihood estimation could be computationally intensive, we propose to construct multiple comparison procedures based on composite likelihood method.
Azadbakhsh, Mahdis +2 more
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Aspects of Composite Likelihood Inference [PDF]
, 2011 A composite likelihood consists of a combination of valid likelihood objects, and in particular it is of typical interest to adopt lower dimensional marginal likelihoods.
Jin, Zi
core
Logistic regression predicting likelihood for a composite complicated maternal CD3. [PDF]
, 2023 Logistic regression predicting likelihood for a composite complicated maternal CD3.
Misgav Rottenstreich (5928308) +6 more
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Composite likelihood inference for analysis of individual animal identification data
Ecological InformaticsIndividual identification data collection is a common practice in animal behaviour, movement ecology, and conservation biology. While likelihood analysis is widely employed for ecological insights, the complexity of individual identification data ...
Xueli Xu +4 more
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Verification of state and entanglement with incomplete tomography
New Journal of Physics, 2012 There exists, in general, a convex set of quantum state estimators that maximize the likelihood for informationally incomplete data. We propose an estimation scheme, catered to measurement data of this kind, to search for the exact maximum-likelihood ...
Yong Siah Teo +4 more
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