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Finally, we wish to emphasize that the "observing the observer" (OTO) approach for inference on hidden states and parameters can be obtained in a subject-specific fashion, as demonstrated by our empirical analyses in this paper (see Figs. 9-13).
We used the standard summary-statistic approach for inference.
First we outline our multiple imputation approach for inference on HWE with missings.
Réd is a conceptually new approach for inference of gene networks from quantitative genetic interaction data.
These limitations involve the data source, i.e. detection of segmental duplications and reliability of DNA sequence alignments, the approach for inference of mutational events, and the sample effect.
The site-based score was based on the Bayes Empirical Bayes (BEB) approach for inference of amino acids under positive selection [ 64] as implemented in the PAML package [ 65].
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While this is an effective strategy for identifying co-regulatory TFs, it is not an effective approach for inferences regarding DBGA or I-DBGA.
A Bayesian MCMC approach for inferences about a genetic marker map when random miscoding of genotypes occurs is presented, and simulated and real data sets are analyzed.
Following the line of the previous discussion, in this paper, we investigate and compare the matched, mismatched, and robust approaches for inference methods in complex t-distributed data.
A brief description of two current closed approaches for inference about the TDI estimate is subsequently given.
In this section we provide the basic notation and describe two approaches for inference on HWE when there are missing genotypes: single imputation (SI) and multiple imputation (MI).
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