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Estimating the inefficiency of machinery and its operators using hierarchical Bayesian models of their equipment by building a hierarchical Bayesian model to model the fuel consumption of each operation.

Bayesian multidimensional-matrix polynomial empirical regressionThe problem of parameter estimation for the polynomial in the input variables regression function

Binomial probability estimates with restrictions on their d-risks guarantee solutions. Estimates with the uniformly minimal d-risk and the Bayesian estimate are constructed

Estimation of the Mean Value for the Normal Distribution with Constraints on d-Risk
. The histogram of the Bayesian estimate for the As content is presented.

Estimation of mean value of a normal distribution with constraints on the relative error and d-risk the estimators with uniformly minimal d-risk and Bayesian are applied. A sequential guarantee estimation

On asymptotic expansion of posterior distribution and not from the value of the maximum likelihood estimator, as it has been done before. This setting is more

Definition of scenarios of short-term trend of macroeconomic dynamics using bayesian estimation in a set of models on the example of the production functionDefinition of scenarios of short-term trend of macroeconomic dynamics using bayesian estimation

The integrals and integral transformations connected with the joint vector Gaussian distribution multidimensional-matrix Gaussian distributions are given. Using these results, the Bayesian estimations

On asymptotic expansion of posterior distribution and not from the value of the maximum likelihood estimator, as it has been done before. This setting is more

The integrals and integral transformations connected with the joint vector Gaussian distribution in terms of the joint vector Gaussian probability density function. As an example the Bayesian estimations

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