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Article

4 Citations

1,343 Views

21 Pages

Likelihood Based Inference and Bias Reduction in the Modified Skew-t-Normal Distribution

Jaime Arrué,
Reinaldo B. Arellano-Valle,
Enrique Calderín-Ojeda,
Osvaldo Venegas and
Héctor W. Gómez

Mathematics2023, 11(15), 3287;https://doi.org/10.3390/math11153287

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26 July 2023

In this paper, likelihood-based inference and bias correction based on Firth’s approach are developed in the modified skew-t-normal (MStN) distribution. The latter model exhibits a greater flexibility than the modified skew-normal (MSN) distrib...

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463 Views

20 Pages

MFedBN: Tackling Data Heterogeneity with Gradient-Based Aggregation and Advanced Distribution Skew Modeling

Kinda Mreish,
Evgenia Novikova,
Mikhail Chaplygin,
Ivan Kholod and
Tarek Alnajar

Sensors2025, 25(23), 7314;https://doi.org/10.3390/s25237314

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1 December 2025

Federated Learning (FL) enables collaborative model training on smart edge devices while preserving data privacy, but it suffers from decreased performance when faced with non-Independent and Identically Distributed (non-IID) data. This paper address...

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2,824 Views

24 Pages

The Effect of Fat Tails on Rules for Optimal Pairs Trading: Performance Implications of Regime Switching with Poisson Events

Pablo García-Risueño,
Eduardo Ortas and
José M. Moneva

Int. J. Financial Stud.2025, 13(2), 96;https://doi.org/10.3390/ijfs13020096

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1 June 2025

This study examines the impact that fat-tailed distributions of the spread residuals have on the optimal orders for pairs trading of stocks and cryptocurrencies. Using daily data from selected pairs, the spread dynamics has been modeled through a mea...

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