posterior probabilities
Hierarchical Phrase Based Translation Grammars Extracted from Alignment Posterior Probabilities
... Some authors have previously addressed the limita- tion caused by decoupling word alignment models from grammar extraction. For instance Venugopal et al. (2008) extract rules from n-best lists of align- ments for a ...
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Mapping genes with longitudinal phenotypes via Bayesian posterior probabilities
... We performed association analyses using the BPPs as a quantitative trait. The population-based data were ana- lyzed via PLINK’s Wald test (assoc command) [6]. We used the false discovery rate as implemented in PLINK to ...
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Correcting for link loss in causal network inference caused by regulator interference
... their probabilities are corrected and thus a direct comparison with α-links may be ...conditional posterior probabilities is a reflection of the evidence in the data as to the identity of the true ...
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43 genes support the lungfish coelacanth grouping related to the closest living relative of tetrapods with the Bayesian method under the coalescence model
... Bayesian posterior probability as high as ...Bayesian posterior probabilities of the branch (a lungfish-coelacanth clade) and high taxon jackknife ...
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Model Averaging and its Use in Economics
... when posterior probabilities are spread among many similar models, and suggest that prior model probabilities could have a built- in adjustment to compensate for dilution by down-weighting prior ...
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Gas chimney detection based on improving the performance of combined multilayer perceptron and support vector classifier
... Figure 8 shows the posterior probabilities of the chimney class of the mentioned MLP and SVC structures. It is ob- vious that the output of the MLP is softer in the course of its variance inside the ...
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PATTERNA: transcriptome wide search for functional RNA elements via structural data signatures
... Fig. 1 Overview of structure profiling data and PATTE RNA. a, b Schematic representation of an RNA secondary structure with paired and unpaired nucleotides highlighted in blue and orange, respectively. Structure diagrams ...
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Anomaly Detection on Gas Turbine Fuel System Using a Sequential Symbolic Method
... performance of decoding based model seems unlikely to that of estimating based model. TN rate of decoding based model rises to nearly 1 when length T>30 and TP rate decreases drastically when T>20. The tremendous ...
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Biodiversity, Evolution and Ecological Specialization of Baculoviruses: A Treasure Trove for Future Applied Research
... host plant growth type traits on the ingroup of Lepidoptera infecting baculovirus. Black circles close to phylogenetic nodes refer to posterior probabilities over 0.75[r] ...
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An Examination of Male and Female Monthly Employment Rates over Time in Canada and the United States Using Hidden Markov Probability Models
... The Estimation of the Parameters of a Hidden Markov Model HMM and Computation of Posterior Probabilities of States The data that was analyzed was the monthly changes in employment rates [r] ...
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Using Bayesian variable selection methods to choose style factors in global stock return models
... the posterior probability of . This is because the product of small posterior probabilities (the number is 1154) in each equity becomes very close to zero, while the product of large posterior ...
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Cross Country Heterogeneity in Intertemporal Substitution
... of posterior probabilities are depicted on the ...the posterior inclusion probability larger than ...have posterior inclusion probabilities below ...
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ChromTime: modeling spatio temporal dynamics of chromatin marks
... In most cases, ranking boundary changes of peaks in blocks with at least one non-zero length peak by their predicted ChromTime posterior probabilities for expansions and contractions ass[r] ...
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An Information Approach to the Dynamics in Farm Income: Implications for Farmland Markets
... The cross-entropy, I (y : x), is a measure of the gain or loss in information as a result of the change from the prior probabilities to the posterior probabilities. When the logarithm in Equation 2 ...
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Evolution of glyoxylate cycle enzymes in Metazoa: evidence of multiple horizontal transfer events and pseudogene formation
... The phylogenies of isocitrate lyase (a) and malate synthase (b). The tree was constructed using the Bayesian approach with the posterior probabilities shown on the tree. Posterior proba[r] ...
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Bayesian Procedures for Discriminating Among Hypotheses With Discrete Distributions: Inheritance in the Tetraploid Astilbe biternata
... Bayesian Posterior Probabilities of the hypotheses given the data were calculated in two ways: (1) equal priors: the prior probabilities of all hypotheses were equal and (2) w[r] ...
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What p-value must be used as the Statistical Significance Threshold? P
... Keywords: Statistical Significance; True Null Hypothesis; Bayes Factor; Prior and Posterior Probabilities; Prior and Posterior Odds; False Discovery Rate; Claims of New Discoveries; Ir[r] ...
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A Dynamic Programming Algorithm for Computing N gram Posteriors from Lattices
... n-gram posterior probabilities from lattices has applications in lattice-based minimum Bayes-risk de- coding in statistical machine translation and the estimation of expected document frequencies from ...
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A structured Bayesian approach to ARMA time series analysis. Part IV: Program descriptions.
... GRATO is designed to produce summary tables describing the posterior for. each set of posterior probabilities, p(m). To stop[r] ...
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Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO
... Subsequently, posterior probabilities are computed and forwarded to ...the posterior probabilities as soft classification, pairwise agreement of fingerprints is assessed by counting the number ...
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