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RISA two step Bayesian approach for genomic prediction of breeding values
breeding values. However, the accuracies of predicted breeding values were lower than Bayesian methods with marker specific variances....
An objective Bayesian estimation of parameters in a log binomial model
Comment on “A blueprint for process based modeling of uncertain hydrological systems†by Alberto Montanari and Demetris Koutsoyiannis
An efficient method for model refinement in diffuse optical tomograhpy
Diffuse optical tomography is a non-linear ill-posed boundry value and optimization problem which necessitates regularization.
An efficient method for model reduction in diffuse optical tomography
We present an efficient method for the reduction of model equations in the linearized diffuse optical tomography (DOT) problem. We first implement the maximum a posteriori (MAP) estimator and Tikhonov regularization, which ...
Application of Bayesian least absolute shrinkage and selection operator (LASSO) and BayesCد€ methods for genomic selection in French Holstein and Montbأ©liarde breeds
Multivariate random parameters zero inflated negative binomial regression model: An application to estimate crash frequencies at intersections
Differences in passenger car and large truck involved crash frequencies at urban signalized intersections: An exploratory analysis
Genetic Analyses of Egg Quality in Khorasan Razavi Native Fowl Using the Bayesian Method
This study was conducted to estimate the genetic parameters influencing egg quality in Khorasan Razavi
native fowl. (Co)Variance components were estimated by the Bayesian statistical method via ...
Weather-Based Index Insurance Pricing- Canonical Vine Copula Function Approach
Gardening products, like apple, are exposed to a variety of risks caused by unfavorable weather conditions. This kind of risk is unavoidable, but manageable. Agricultural insurance is an effective scheme in weather risk ...