P. Bidyuk

发表

Methods of constructing Bayesian networks based on scoring functions

M. Z. Zgurovskii, P. Bidyuk, A. N. Terent’ev, 2008 .

V . A System Approach to Modeling , Forecasting , and Management of Financial and Economic Processes /

Bidyuk, M. Z. Zgurovsky, W. Gilks, 2014 .

Forecasting Nonlinear Nonstationary Processes in Machine Learning Task

Victoria Vysotska, Peter Bidyuk, Aleksandr Gozhyj, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

Methodology of Constructing Statistical Models for Nonlinear Non-stationary Processes in Medical Diagnostic Systems

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, 2020, IDDM.

Methods for Forecasting Nonlinear Non-stationary Processes in Machine Learning

Victoria Vysotska, Peter Bidyuk, Aleksandr Gozhyj, 2020, DSMP.

Modeling and Forecasting Economic and Financial Processes Using Combined Adaptive Models

Peter Bidyuk, Aleksandr Gozhyj, Yoshio Matsuki, 2020, ISDMCI.

Analysis of Uncertainty Types for Model Building and Forecasting Dynamic Processes

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, 2017 .

Combining Clonal Selection Algorithm and Gene Expression Programming for Time Series Prediction

V.I. Litvinenko, P.I. Bidyuk, J.N. Bardachov, 2005, 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.

Features of Application of Monte Carlo Method with Markov Chain Algorithms in Bayesian Data Analysis

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, 2019, CSIT.

Construction of Forecast Models based on Bayesian Structural Time Series

A. Gozhyj, P. Bidyuk, I. Kalinina, 2022, 2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT).

Modeling Risk Factor Interaction Using Copula Functions

A. Gozhyj, P. Bidyuk, I. Kalinina, 2020, CITRisk.

Longitudinal neurocognitive assessments of Ukrainians exposed to ionizing radiation after the Chernobyl nuclear accident.

D. Levinson, P. Bidyuk, D. Reeves, 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

An Approach to Identifying and Filling Data Gaps in Machine Learning Procedures

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, 2021, Lecture Notes in Computational Intelligence and Decision Making.

Financial Risk Estimation in Conditions of Stochastic Uncertainties

Peter Bidyuk, Aleksandr Gozhyj, Oleksandr Trofymchuk, 2021, Lecture Notes in Computational Intelligence and Decision Making.

Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian Networks

P. Bidyuk, N. Savina, M. Voronenko, 2020, CITRisk.

Forecasting based on Bayesian type models

Peter Bidyuk, Aleksander Peter Gozhjy, Alexandr T rofymchuk, 2015 .

The Methods Bayesian Analysis of the Threshold Stochastic Volatility Model

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Probabilistic Inference Based on LS-Method Modifications in Decision Making Problems

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, 2019, ISDMCI.

Method of probabilistic inference from learning data in Bayesian networks

A. N. Terent’yev, P. I. Bidyuk, P. Bidyuk, 2007 .

Construction and Methods of Learning of Bayesian Networks

P. I. Bidyuk, A. N. Terent'ev, A. S. Gasanov, 2005 .

Classification System Based on Ensemble Methods for Solving Machine Learning Tasks

A. Gozhyj, P. Bidyuk, I. Kalinina, 2023, MoMLeT+DS.

Data Mining Methods, Models and Solutions for Big Data Cases in Telecommunication Industry

Peter Bidyuk, Nataliia Kuznietsova, Maryna Kuznietsova, 2021, ISDMCI.