My PhD thesis: pdf file

Kubkowski, M., M. Łazȩcka, and J. Mielniczuk. 2020. “Distributions of a General Reduced-Order Dependence Measure and Conditional Independence Testing.” In Lecture Notes in Computer Science, 692–706. Springer International Publishing. https://doi.org/10.1007/978-3-030-50436-6_51.
Łazecka, M., and J. Mielniczuk. 2022. “Squared Error Based Shrinkage Estimators of Discrete Probabilities and Their Application to Feature Selection.” Statistical Papers. https://doi.org/10.1007/s00362-022-01308-w.
Łazȩcka, M., and J. Mielniczuk. 2020. “Analysis of Information-Based Nonparametric Variable Selection Criteria.” Entropy 22 (9): 974. https://doi.org/10.3390/e22090974.
Łazęcka, M., and J. Mielniczuk. 2021. “Multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach.” In Torra v., Narukawa y. (Eds) Modeling Decisions for Artificial Intelligence. MDAI 2021. Lecture Notes in Computer Science. Vol. 12898. Springer, Cham. https://doi.org/10.1007/978-3-030-85529-1_7.
Łazęcka, M., J. Mielniczuk, and P. Teisseyre. 2021. “Estimating the Class Prior for Positive and Unlabelled Data via Logistic Regression.” Advances in Data Analysis and Classification, 1–30. https://doi.org/10.1007/s11634-021-00444-9.
Teisseyre, P., J. Mielniczuk, and M. Łazȩcka. 2020. “Different Strategies of Fitting Logistic Regression for Positive and Unlabelled Data.” In Lecture Notes in Computer Science, 3–17. Springer International Publishing. https://doi.org/10.1007/978-3-030-50423-6_1.
 

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