Gundars Berzins
According to our database1,
Gundars Berzins
authored at least 32 papers
between 2007 and 2024.
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Bibliography
2024
Proceedings of the 6th International Conference on Finance, 2024
2023
New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty.
Autom. Control. Comput. Sci., October, 2023
A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics.
Autom. Control. Comput. Sci., June, 2023
Proceedings of the 5th International Conference on Finance, 2023
2022
Socio-Economic Situation in Latvia's Municipalities in the Context of Administrative-Territorial Division and Unexpected Impact of COVID-19.
J. Glob. Inf. Manag., 2022
Intelligent Computational Approach to Constructing Adequate Statistical Decisions under Parametric Uncertainty of Applied Stochastic Models.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
2021
Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models.
Autom. Control. Comput. Sci., 2021
A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions.
Autom. Control. Comput. Sci., 2021
A New Simple Computational Method of Simultaneous Constructing and Comparing Confidence Intervals of Shortest Length and Equal Tails for Making Efficient Decisions Under Parametric Uncertainty.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
Population Mobility Patterns and Monitoring of COVID-19 Restriction Measures in Latvia.
Proceedings of the 3rd International Conference on Finance, 2021
A New Unified Computational Method for Finding Confidence Intervals of Shortest Length and/or Equal Tails under Parametric Uncertainty.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
2020
Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns.
Expert Syst. J. Knowl. Eng., 2020
A New Technique of Invariant Statistical Embedding and Averaging Via Pivotal Quantities for Intelligent Constructing Efficient Statistical Decisions under Parametric Uncertainty.
Autom. Control. Comput. Sci., 2020
Prototype Proposal for Profiling and Identification of TV Viewers using Watching Patterns.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
Proceedings of the 2nd International Conference on Finance, 2020
2019
A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric Uncertainty.
Autom. Control. Comput. Sci., 2019
Intelligent Constructing Exact Statistical Prediction and Tolerance Limits on Future Random Quantities for Prognostics and Health Management of Complex Systems.
Autom. Control. Comput. Sci., 2019
A Novel Intelligent Technique for Product Acceptance Process Optimization on the Basis of Misclassification Probability in the Case of Log-Location-Scale Distributions.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Mobile Phone Data Statistics as Proxy Indicator for Regional Economic Activity Assessment.
Proceedings of the International Conference on Finance, 2019
A New Intelligent Technique of Constructing Optimal Airline Seat Protection Levels for Multiple Nested Fare Classes of Single-Leg Flights.
Proceedings of the 6th International Conference on Control, 2019
2018
A New Technique for Intelligent Constructing Exact γ-content Tolerance Limits with Expected (1 - α)-confidence on Future Outcomes in the Weibull Case Using Complete or Type II Censored Data.
Autom. Control. Comput. Sci., 2018
Intelligent Planning Reliability-Based Inspections of Fatigued Structures for the Crack Initiation Period in the Weibull Case under Parametric Uncertainty.
Autom. Control. Comput. Sci., 2018
Proceedings of the 10th International Conference on Computer Supported Education, 2018
2017
Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach.
Autom. Control. Comput. Sci., 2017
Adaptive Planning in-Service Inspections of Fatigued Structures in Damage Tolerance Situations via Observations of Crack Growth Process.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
A New Dynamic Model for Anticipatory Adaptive Control of Airline Seat Reservation via Order Statistics of Cumulative Customer Demand.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
2010
Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2010
Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2010
2009
Optimal Adaptive Inspection Planning Process in Service of Fatigued Aircraft Structures.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2009
2008
Stochastic Fatigue Models for Efficient Planning Inspections in Service of Aircraft Structures.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2008
2007
Recognition of Vibration Signal Changes for Real-Time Detection of Developing Cracks in Jet Engine Rotors.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007
Artificial Neural Network Based Prediction of Fatigue Crack Propagation.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007