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Estimating the inefficiency of machinery and its operators using hierarchical Bayesian models
Guletskii, N. V., Radyna, Ya. M.
of their equipment by building a hierarchical Bayesian model to model the fuel consumption of each operation.
Bayesian analysis of the kinetics of quantal transmitter secretion at the neuromuscular junction
Saveliev A., Khuzakhmetova V., Samigullin D., Skorinkin A., Kovyazina I., Nikolsky E., Bukharaeva E.
extracellular calcium. Using Bayesian modelling, we performed a statistical analysis of synaptic delays in mouse
Bayesian analysis of the kinetics of quantal transmitter secretion at the neuromuscular junction
Saveliev A., Khuzakhmetova V., Samigullin D., Skorinkin A., Kovyazina I., Nikolsky E., Bukharaeva E.
extracellular calcium. Using Bayesian modelling, we performed a statistical analysis of synaptic delays in mouse
Diffusion models' calibration by means of Bayesian inference and Euler-Maruyama method
Aronova Y.V.
and statistical analysis. This study concerns a problem of constructing an approximative Bayesian inference scheme
Estimation of the Mean Value for the Normal Distribution with Constraints on d-Risk
, the probability of stopping for the experiment is estimated for each step by the method of statistical simulations
The use of statistical phylogenetics in virology
Vakulenko Yu A.
the fundamental and applied problems in virology. Bayesian, or statistical, phylogenetic methods, which came
Groundwater-potential mapping using a self-learning bayesian network model: A comparison among metaheuristic algorithms
Karimi-Rizvandi S., Goodarzi H.V., Afkoueieh J.H., Chung I.-M., Kisi O., Kim S., Linh N.T.T.
was to determine the optimal network structure of a Bayesian network (BayesNet) machine-learning model using three
ANALYSIS OF THE DYNAMICS OF MACROECONOMIC INDICATORS BASED ON SMALL SAMPLES USING BAYESIAN NON-ASYMPTOTIC STATISTICAL METHODS
Boulytchev Alexander, Yakovleva Nina
-ASYMPTOTIC STATISTICAL METHODS
Bayesian approach to extreme-value statistics based on conditional maximum-entropy method
Abe S.
(abbreviated as C-MaxEnt) has been proposed for selecting priors in Bayesian statistics in a very simple way
Modern technology for evaluating measures to optimize and improve the working of teacher and staff
Veretekhina S.V.
of teachers and staff. Applied methods: System analysis, mathematical modeling, logical generalization

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