Testing for character correlations using Bayesian model
Genealogical working distributions for Bayesian model testing with phylogenetic uncertainty
... Accurate model comparisons are therefore a crucial part of phylogenetic hypothesis testing, even though all evolutionary models necessarily oversimplify ...accurate Bayesian model selection ...
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Stress Models - Bayesian Model of Product Development and Life Testing
... The Bayesian model presented in this paper allows for the modeling of accelerated life testing data that show stress-dependent spread in life, ...The model has been developed under the ...
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A Flexible Bayesian Model for Testing for Transmission Ratio Distortion
... TRD model has been developed and adapted to the context of half-sib families when genotyping data become unavailable from one ...this model must be validated on simulated data sets before going deep into ...
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Forecasting in Large Macroeconomic Panels using Bayesian Model Averaging
... single model and present empirical results based on this ...created using the large number of available predictors, it is common to choose only a few using sequential testing procedures or ...
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Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change.
... BaMoS using a number of comparison metrics that allowed a greater understanding of the origins of discrepancies between methods, and where differences were most likely to oc- ...assessed using images from ...
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Bayesian Testing in Cointegration Models using the Jeffreys' Prior
... a Bayesian cointegration test statistic that can be used under a Jeffreys’ ...rescaled model can be ...the Bayesian cointegration statistic to the Danish dataset of Johansen and Juselius (1990) and ...
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Subjective Bayesian testing using calibrated prior probabilities
... P [M s ]/P [M t ] ∝ # omitted variables in M s (1) whenever the model M s has exactly one more omitted variable than M t . Such a prior is most closely related to the truncated Poisson priors stud- ied in Womack ...
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Testing for high-dimensional white noise using maximum cross-correlations
... to model and forecast many time series at once, which has direct applications in, among others, finance, economics, envi- ronmental and medical ...The model diagnostics has largely been untouched, as far as ...
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Testing and Valuing Dynamic Correlations for Asset Allocation
... tests using a number of alternative time-invariant vectors of expected returns that an investor may want to use in his or her asset allocation ...and correlations are even less ...
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Testing a linear ARMA Model against threshold-ARMA models : a Bayesian approach
... a Bayesian test for the threshold nonlinearity of TARMA ...Firstly, Bayesian estimation of the threshold value and other parameters of TARMA mod- els is ...a Bayesian analysis of two-regime TARMA ...
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Testing a linear ARMA Model against threshold-ARMA models : a Bayesian approach
... We do not need to employ the arranged autoregression. Secondly, to avoid analytical difficulty and complicated computation, Xia et al. (2010) applied the RJMCMC method (Green, 1995) for test- ing TMA models, but they ...
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Bayesian Noninferiority Testing and Nonparametric Survival Regression using Bernstein Polynomials.
... differentiability properties such that the log-likelihood, its gradient, and Hessian matrix all take relatively easy forms, making our method very easy to implement as compared to other computationally intensive methods ...
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Handwritten Devanagari Character Recognition Model Using Neural Network
... IJEDR1401162 International Journal of Engineering Development and Research (www.ijedr.org) 904 Fig. 7: Multilayer feed forward neural network VI. EXPERIMENTAL RESULT In order to evaluate the performance of the proposed ...
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A new approach to Bayesian hypothesis testing
... new Bayesian statistic to test a point null hypothesis with the hope that the new statistic is less sensitive to the choice of priors than the well known ...computed using the MCMC outputs from the ...
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A Bayesian Mixed Effects Model of Literary Character
... this model will support further exploratory analysis of literary his- ...three character types learned, displaying charac- teristic clusters for all role types, along with the distribution of that persona’s ...
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Bayesian model comparison for one-dimensional azimuthal correlations in 200GeV AuAu collisions
... models, Bayesian analysis calls that model best which has the largest evidence, the prior-weighted integral over model parameters of the likelihood ...Applying Bayesian analysis to projections ...
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Bayesian Additive Regression Trees using Bayesian model averaging
... specified Bayesian model and so can provide estimates of model and predictive ...BART model as described in Section 2 where p is large. The first is that using a uniform prior to choose ...
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A Bayesian Model for Learning Using Flashcards
... problem using a multi-armed bandit (MAB) modeling ...sequential. Using only flashcards that the learner knows will not yield learning of all available ...to model the decision of picking which ...
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Nonmanipulable Bayesian Testing
... I show below that there exists a likelihood ratio test satisfying both desiderata whenever forecasts derived from the tester’s prior do not converge to the true probabilities quickly, or do so only with small ...
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Large-Scale Multiple Testing of Correlations
... multiple testing is to control the false discovery rate (FDR), which is defined to be the expected proportion of false positives among all ...This testing problem has been well studied in the literature, ...
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