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March 3, 2026
S-transform in finite free probability
OA
Octavio Arizmendi
KF
Katsunori Fujie
DP
Daniel Perales
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Key Points
This analysis reveals new insights into the s-transform within the framework of finite free probability.
Key evidence shows how the derived models impact probabilistic behaviors in data structures and processes.
Exploration of theoretical applications accentuates the relevance of clustering techniques in probabilistic modeling frameworks.
The implications may enable more effective statistical methods and deeper understanding of complex stochastic processes.
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Cite This Study
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Arizmendi et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75abac6e9836116a20ee5
https://doi.org/https://doi.org/10.1016/j.aim.2026.110803
S-transform in finite free probability | Synapse