Bayesian methods
Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods
... present. Bayesian methods rely on knowledge of model-measurement (R) and a priori emissions (P) uncertainties, and the derived fluxes and associated uncertainties strongly depend on these ...inverse ...
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Monitoring mortality in forced migrants--can Bayesian methods help us to do better with the (little) data we have?
... on Bayesian statistics, to deal with these situations ...Essentially, Bayesian statistics allow researchers to express a prior belief and use Bayes’ theorem to evaluate new data and update this ...
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Evolutionary Analysis of Dengue Serotype 2 Viruses Using Phylogenetic and Bayesian Methods from New Delhi, India.
... sequenced in the study. All DENV-2 strains grouped within the Cosmopolitan genotype and further clustered into three lineages; Lineage I, II and III. Lineage III replaced lineage I dur- ing dengue fever outbreak of 2013. ...
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parallelMCMCcombine: an R package for bayesian methods for big data and analytics.
... New Bayesian methods have been developed for data sets that are large only due to large sample ...These methods partition big data sets into subsets and perform independent Bayesian Markov ...
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Bayesian methods to analyze historical collections in time and space: a case study using Cabo Verde endemic flora
... The Bayesian approach we adopt in this study provides a framework to analyze historical collections to better understand biases in the accumulation of herbarium collections and in the development of our ...
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GARMA models, a new perspective using Bayesian methods and transformations
... Resampling methods also allow computing valid asymptotic quantiles of the limiting distribution in different situations, even when the limiting distribution is ...
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Xiao-xin Bi, Ling Huang, Mei-dong Jing, Li Zhang, Pei-yong Feng and Ai-yun Wang
... and Bayesian methods and the complete mitogenome data for platyrrhine species confirmed the basal position of the Callicebinae and the sister relationship between Atelinae and Cebidae, as well as the sister ...
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Econ. Apl. vol.18 número2
... view Bayesian models are a generalization of those models briefly discussed ...above. Bayesian methods are more suitable for modeling financial time series and forecasting their future behavior as ...
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Unexpectedly low rangewide population genetic structure of the imperiled eastern box turtle Terrapene c. carolina.
... two Bayesian population assignment approaches, two methods for comparing historical and contemporary migration among populations, an evaluation of isolation by distance, and a method for detecting barriers ...
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MODELOS ESTRUTURAIS - Abordagens Clássica e Bayesiana
... Study Year Report 13, University of Warwick. Linear Bayesian methods. Royal Statistical Soe. The Econometric Analysis of Time Series. unified view of statistical forec.utin[r] ...
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Multiple imputation of missing categorical data using latent class models: State of the art
... a Bayesian MCMC approach parameter uncertainty is automatically accounted ...using Bayesian methods in order to obtain proper imputations, which fully reflect the uncer- tainty about the model ...
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Rev. Soc. Bras. Med. Trop. vol.46 número3
... The Bayesian model employed here provided an estimate of the RR of ACL in the examined counties during the study period. The epidemiologic data indicated a signifi cant decrease in the incidence of ACL over the ten ...
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Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy
... The Italian sequence data were complemented with all publicly available HCV1a NS3 sequences from Genbank (N = 3032, http://www.ncbi.nlm.nih.gov/nucleotide) that fulfilled the following quality criteria. Only sequences ...
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A Bayesian methodology to study the simple maternity search problem
... Abstract. The use of DNA profiles in forensic identification problems are common procedure nowadays. It was in England, in 1995, where the first DNA profiles database was built. It gave rise to new challenges concerning ...
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Improved phylogeny of brown algae Cystoseira (Fucales) from the Atlantic-Mediterranean region based on mitochondrial sequences
... Several authors have previously attempted the elucidation of the relationships within this genus and with related genera using phylogenetic methods [34, 38–40]. Analysis of Fucales (Phaeophyceae) Kylin based on ...
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Bayesian Multi-Trait Analysis Reveals a Useful Tool to Increase Oil Concentration and to Decrease Toxicity in Jatropha curcas L.
... Genetic and environment parameters estimated under the Bayesian multi-trait approach were similar to SOC estimates reported by Peixoto et al. [33], while carrying out analysis of variance (ANOVA). Rosado et al. ...
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Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach
... spatio-temporal Bayesian maximum en- tropy (BME) method and transformed hierarchical Bayesian space-time interpolation are used in order to predict precip- itation in Pakistan during the monsoon ...both ...
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Numeracy, frequency, and Bayesian reasoning
... in Bayesian reasoning, but another notable study in this vein is Brase ...when Bayesian problems were presented in an ambiguous format of “chances” ...study, Bayesian performance varied ...
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ANALYSIS OF BAYESIAN CLASSIFIER ACCURACY
... The approach used in the study of (Cheng and Greiner, 1999) seeks to automatically learn the structure of Bayesian networks, identifying conditional independence relations between network nodes. Statistical tests ...
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Particle Swarm Optimisation for learning Bayesian Networks
... Many algorithms have been developed which induce the structure of Bayesian Networks (BNs). In general, learning the structure from a dataset is regarded as a NP-hard problem [1]. Reference [2] shows through ...
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