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The article substantiates the need to modernize customs statistics of Ukraine as a key tool for forming foreign economic policy and ensuring international comparability of data in the context of European integration. The...

Abstract Likelihood-based inference for exponential-tail lifetime models can be unstable in finite samples, particularly under right-tail contamination. We develop a robust score-based inference procedure for the two-par...

Abstract In this study, a new three-parameter Lomax distribution is proposed using the beta transformation technique. The new distribution is named Beta Transformed Lomax distribution. Some mathematical properties of the...

Abstract Background In basketball, quadriceps strains and contusions are common due to the muscle’s role in knee extension and hip flexion, with the rectus femoris most prone to injury because it crosses both joints, m...

Federated Prompt Learning (FPL) enables efficient collaborative adaptation of large-scale models, but it remains vulnerable to data heterogeneity: locally optimized prompts may become biased, thereby weakening the aggreg...

Large deviation theory provides a framework to understand macroscopic fluctuations and collective phenomena in many-body nonequilibrium systems in terms of microscopic dynamics. In these lecture notes we discuss the larg...