composite likelihood
Stochastic Composite Likelihood
... the composite likelihood method for parameter estimation proposed by Lindsay (1988) which in turn generalized the pseudo likelihood of Besag ...and composite likelihood are Arnold and ...
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A Composite-Likelihood Approach for Detecting Directional Selection From DNA Sequence Data
... the composite-likelihood solution for wide range of demographic scenarios, including expo- a single locus can easily scale to genome-wide levels nential population growth, an island model of migra- and can ...
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Geostatistical inference in the presence of geomasking:A composite likelihood approach
... the likelihood in (3.2) using the composite likelihood ...the composite log-likelihood is an unbiased estimating equation (Varin et ...
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Composite likelihood inference for hidden Markov models for dynamic networks
... data likelihood, we propose a composite likelihood approach (Lindsay, 1988; Cox and Reid, 2004) that consistently simplifies the estimation procedure and leads to reliable parameter ...with ...
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A Composite-Likelihood Method for Detecting Incomplete Selective Sweep from Population Genomic Data
... a composite-likelihood-ratio (CLR) test for detecting incomplete selective sweeps based on the joint sampling probabilities for allele frequencies of two groups as a function of strength of selection and ...
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Identification of a Locus Under Complex Positive Selection in Drosophila simulans by Haplotype Mapping and Composite-Likelihood Estimation
... the composite-likelihood results, the most extreme hap- tions across janB and decrease the frequency of derived lotype structure is also found at ...
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Composite Likelihood for Bilinear GARCH Model
... the composite likelihood on panel of BL-GARCH (1, 2) model, and study the asymptotic behavior of the estimators, like the consistency property and the asymptotic ...
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Asymptotics of Maximum Composite Likelihood Estimation for Geostatistical Data
... The composite conditional K-nearest neighbours likelihood and K-sequential neighbours likelihood were also tested for different values of ...maximum likelihood estimates, we can see from Table ...
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Composite Likelihood Methods Based on Minimum Density Power Divergence Estimator
... Wald-Type Tests Statistics Based on Composite Minimum Power Divergence Estimator 137. Wald-type test statistics based on MDPDE have been considered with excellent results in relation[r] ...
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Inference for generalised linear mixed models with sparse structure
... the likelihood with some approximation, for example using Laplace’s method or importance ...properties. Composite likelihood methods for inference are also considered, and are shown to have low ...
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Call cultures in orang utans?
... (maximum composite likelihood distance of HVR-I haplotypes, see Material and Methods) between pairs of sites in five orangutan populations, for two different situations: where nesting calls and ...
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Distinguishing Among Modes of Convergent Adaptation Using Population Genomic Data
... a composite-likelihood-based approach that utilizes genomic data to identify loci involved in convergence, and distinguishes among alternate modes of convergent ...
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DNA barcoding and molecular studies in gymnema species
... Among the 10 primers used only 5 primers produced reproducible and consistent banding pattern, those are OPA- 17, OPE-14, OPE-15, OPE-17 and OP0-16. In that OPE-14 produced height 24 bands. And OPA-17 produced 16 bands ...
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Genomes reveal marked differences in the adaptive evolution between orangutan species
... patterns surrounding recently selected alleles (iHS) [36, 37] and (2) a composite likelihood ratio (CLR) test to de- tect shifts in local site-frequency spectra relative to the genomic background. We used ...
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Theoretical Properties of Composite Likelihoods
... various composite likelihoods with different functional forms, it might be desirable to consider a unifying theme based on information-theoretic ...framework, composite likelihoods can then be viewed as a ...
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The debiased Whittle likelihood
... exact likelihood, often referred to as quasilikelihood, pseudolikelihood or composite likelihood, and has recently been receiving much attention across statistics; see, for example, Fan et ...such ...
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Estimation of Dynamic Stochastic Frontier Model using Likelihood based Approaches
... three likelihood-based approaches to estimate the model: the full maximum likelihood (FML), pairwise composite likelihood (PCL) and quasi-maximum likelihood (QML) ...above-mentioned ...
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A Preliminary Investigation into the Mediating Role of Positive Affect in the Development of Posttraumatic Stress Disorder among African American Female Sexual Assault Survivors
... Empirical Likelihood is a nonparametric methodology which was first introduced by Owen (1988, ...the likelihood function, and it has the ability to construct confidence regions for the parameter of interest ...
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Risk and protective factors for psychopathology in adolescence
... Block 1: Method = Forward Stepwise Likelihood Ratio Iteration History" ." Coefficients -2 Log likelihood... Method: Forward Stepwise Likelihood Ratio b.[r] ...
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The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning
... 276 Table 2 Summary of variables used within likelihood of returning model % Likelihood of returning The likelihood of returning reported by the tourist on a 5 point Likert scale Will de[r] ...
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