BAYESIAN DATA ANALYSIS IN MODELING AND FORECASTING NONLINEAR NONSTATIONARY PROCESSES

BAYESIAN DATA ANALYSIS IN MODELING AND FORECASTING NONLINEAR NONSTATIONARY PROCESSES

Background. Nonlinear nonstationary processes that are available in various spheres of human activity are characterized by numerous uncertainties, fuzziness, incompleteness and low precision data. To perform forecasting of such processes it is necessary to carry out correctly the data processing tha...

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Bibliographic Details
Main Authors: Liudmyla B. Levenchuk, Petro I. Bidyuk
Format: Article
Language:English
Published: Igor Sikorsky Kyiv Polytechnic Institute 2020-08-01
Series:KPI Science News
Subjects:
bayesian data analysis
nonlinear nonstationary processes
kalman filter
bayesian network
regression model
forecasts combining
Online Access:http://scinews.kpi.ua/article/view/209877

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