Stochastic models for bidding strategies on oligopoly electricity market. - Magdalena Borgosz-Koczwara; Aleksander Weron; Agnieszka Wylomanska (Math. Methods Oper. Res., 2009)

Local damage detection methods based on the stochastic modeling techniques. - Grzegorz Zak; Agnieszka Wylomanska; Radoslaw Zimroz (MED, 2016)

Impulsive Noise Cancellation Method for Copper Ore Crusher Vibration Signals Enhancement. - Agnieszka Wylomanska; Radoslaw Zimroz; Joanna Janczura; Jakub Obuchowski (IEEE Trans. Ind. Electron., 2016)

Recurrence statistics for anomalous diffusion regime change detection. - Grzegorz Sikora; Agnieszka Wylomanska; Diego Krapf (Comput. Stat. Data Anal., 2018)

Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure. - Justyna Hebda-Sobkowicz; Sebastian Gola; Radoslaw Zimroz; Agnieszka Wylomanska (Sensors, 2019)

Fractional Dynamics Identification via Intelligent Unpacking of the Sample Autocovariance Function by Neural Networks. - Dawid Szarek; Grzegorz Sikora; Michal Balcerek; Ireneusz Jablonski; Agnieszka Wylomanska (Entropy, 2020)

Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components - A Sieving Screen Case Study. - Karolina Gasior; Hanna Urbanska; Aleksandra Grzesiek; Radoslaw Zimroz; Agnieszka Wylomanska (Sensors, 2020)

Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses. - Jakub Nowicki; Justyna Hebda-Sobkowicz; Radoslaw Zimroz; Agnieszka Wylomanska (Sensors, 2020)

How to detect the cyclostationarity in heavy-tailed distributed signals. - Piotr Kruczek; Radoslaw Zimroz; Agnieszka Wylomanska (Signal Process., 2020)

Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics. - Aleksandra Grzesiek; Karolina Gasior; Agnieszka Wylomanska; Radoslaw Zimroz (Sensors, 2021)

Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes. - Anna Michalak; Jacek Wodecki; Michal Drozda; Agnieszka Wylomanska; Radoslaw Zimroz (Sensors, 2021)

Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes. - Dawid Szarek; Katarzyna Maraj-Zygmat; Grzegorz Sikora; Diego Krapf; Agnieszka Wylomanska (Comput. Stat. Data Anal., 2022)

Cross-codifference for bidimensional VAR(1) time series with infinite variance. - Aleksandra Grzesiek; Marek Teuerle; Agnieszka Wylomanska (Commun. Stat. Simul. Comput., 2022)

Yule-Walker-Based Approaches for Estimation of Noise-Corrupted Periodic Autoregressive Model - Finite- and Infinite-Variance Cases. - Wojciech Zulawinski; Agnieszka Wylomanska; Radoslaw Zimroz (EUSIPCO, 2023)

Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector. - Mateusz Gabor; Rafal Zdunek; Radoslaw Zimroz; Agnieszka Wylomanska (IECON, 2023)

Forecasting of symmetric α-stable autoregressive models by time series approach supported by artificial neural networks. - Aastha M. Sathe; Neelesh S. Upadhye; Agnieszka Wylomanska (J. Comput. Appl. Math., 2023)

Identification and validation of periodic autoregressive model with additive noise: finite-variance case. - Wojciech Zulawinski; Aleksandra Grzesiek; Radoslaw Zimroz; Agnieszka Wylomanska (J. Comput. Appl. Math., 2023)

Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis. - Dawid Szarek; Ireneusz Jablonski; Radoslaw Zimroz; Agnieszka Wylomanska (Expert Syst. Appl., 2023)

Robust local basis function algorithms for identification of time-varying FIR systems in impulsive noise environments. - Maciej Niedzwiecki; Artur Gancza; Wojciech Zulawinski; Agnieszka Wylomanska (CDC, 2024)

Errors-in-Variables-Based Methodology of Estimation and Testing for Infinite-Variance Periodic Autoregressive Models with Additive Noise. - Wojciech Zulawinski; Agnieszka Wylomanska (EUSIPCO, 2024)

Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and "what-if" Analysis. - Dominik Dulas; Justyna Witulska; Agnieszka Wylomanska; Ireneusz Jablonski; Krzysztof Walkowiak (IEEE Access, 2024)

Modified Greenwood statistic and its application for statistical testing. - Katarzyna Skowronek; Marek Arendarczyk; Radoslaw Zimroz; Agnieszka Wylomanska (J. Comput. Appl. Math., 2024)

Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction. - Mateusz Gabor; Rafal Zdunek; Radoslaw Zimroz; Agnieszka Wylomanska (IEEE Trans. Ind. Informatics, 2024)

Alternative dependency measures-based approach for estimation of the α-stable periodic autoregressive model. - Wojciech Zulawinski; Piotr Kruczek; Agnieszka Wylomanska (Commun. Stat. Simul. Comput., 2024)

The expectation-maximization algorithm for autoregressive models with normal inverse Gaussian innovations. - Monika Singh Dhull; Arun Kumar; Agnieszka Wylomanska (Commun. Stat. Simul. Comput., 2024)

Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise. - Wojciech Zulawinski; Jérôme Antoni; Radoslaw Zimroz; Agnieszka Wylomanska (EURASIP J. Adv. Signal Process., 2024)

Robust correlation measures for informative frequency band selection in heavy-tailed signals. - Justyna Hebda-Sobkowicz; Radoslaw Zimroz; Anil Kumar 005; Agnieszka Wylomanska (Adv. Eng. Informatics, 2025)

Critical challenges and advances in vibration signal processing for non-stationary condition monitoring. - Anil Kumar 005; Agnieszka Wylomanska; Radoslaw Zimroz; Jiawei Xiang; Jérôme Antoni (Adv. Eng. Informatics, 2025)

Scaled Brownian motion with random anomalous diffusion exponent. - Hubert Woszczek; Aleksei Chechkin; Agnieszka Wylomanska (Commun. Nonlinear Sci. Numer. Simul., 2025)

Fractional lower-order covariance-based measures for cyclostationary time series with heavy-tailed distributions: Application to dependence testing and model order identification. - Wojciech Zulawinski; Agnieszka Wylomanska (Digit. Signal Process., 2025)

A modified gamma process for RUL prediction based on data with time-varying heavy-tailed distribution. - Daniel Kuzio; Radoslaw Zimroz; Agnieszka Wylomanska (Inf. Sci., 2025)

Conditional correlation estimation and serial dependence identification. - Kewin Paczek; Damian Jelito; Marcin Pitera; Agnieszka Wylomanska (J. Comput. Appl. Math., 2025)

Testing and estimation of the index of stability of univariate and bivariate symmetric α-stable distributions via modified Greenwood statistic. - Katarzyna Skowronek; Marek Arendarczyk; Anna K. Panorska; Tomasz J. Kozubowski; Agnieszka Wylomanska (J. Comput. Appl. Math., 2025)

Gaussian dependence structure pairwise goodness-of-fit testing based on conditional covariance and the 20/60/20 rule. - Jakub Wozny; Piotr Jaworski; Damian Jelito; Marcin Pitera; Agnieszka Wylomanska (J. Multivar. Anal., 2025)

Characterization of irregular cyclicities in heavy-tailed data. - Antonio Napolitano 001; Agnieszka Wylomanska (Signal Process., 2025)

Robust Suboptimal Local Basis Function Algorithms for Identification of Nonstationary FIR Systems in Impulsive Noise Environments. - Maciej Niedzwiecki; Artur Gancza; Wojciech Zulawinski; Agnieszka Wylomanska (CoRR, 2025)

Empirical study of periodic autoregressive models with additive noise - estimation and testing. - Wojciech Zulawinski; Agnieszka Wylomanska (Commun. Stat. Simul. Comput., 2025)

Identifying the temporal distribution structure in multivariate data for time-series segmentation based on two-sample test. - Justyna Witulska; Marta Hendler; Magdalena Kasprowicz; Marek Czosnyka; Ireneusz Jablonski; Agnieszka Wylomanska (Inf. Fusion, 2026)

Statistical testing-based framework for differentiating anomalous diffusion models with constant and random parameters. - Katarzyna Maraj-Zygmat; Aleksandra Grzesiek; Diego Krapf; Agnieszka Wylomanska (J. Comput. Appl. Math., 2026)