Author

F. Babu

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Oct 2026

FLEXIBLE PROBABILISTIC MODELS FOR CAPTURING EXTREME RISK IN CRYPTOCURRENCY RETURNS

This study presents a comparative investigation of probabilistic mixture models for capturing extreme risk in cryptocurrency return distributions. Specifically, we evaluate the performance of the Gaussian Mixture Model (GMM), the Student-t Mixture Model (TMM), and the Laplace Mixture Model (LMM) using standardized dail...

S. Zeeshan, F. Babu · Applicable Nonlinear Analysi... · 0 citations

Open access Sep 2026

Projected quasi-subgradient method for Hölder continuous quasi-convex multiobjective optimization

We propose a projected quasi-subgradient method for constrained, nondifferentiable, quasi-convex multiobjective minimization problems. Unlike existing approaches that rely on Lipschitz continuity, our method only requires Hölder continuity of the objective components, thereby covering a broader class of quasi-convex fu...

F. Babu, Debdas Ghosh, Muzaffar Sarkar Raju · Positivity (Dordrecht) · 0 citations