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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally we introduce Miao-Tam statistical manifolds and study properties of them.
📌 3 Key Takeaways
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Objective & Hypothesis:We introduce $f$-statistical connections as a family of statistical connections and study some geometric objects associated to these connections such as divergence, curvature and Ricci tensors, Hessian and Laplacian operators.
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Key Findings & Data:We construct examples of $f$-statistical connections and study the introducing concepts on them.
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Conclusion & Impact:Finally we introduce Miao-Tam statistical manifolds and study properties of them.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:f-statistical connction · Hessian operator · Laplacian operator
Abstract
We introduce $f$-statistical connections as a family of statistical connections and study some geometric objects associated to these connections such as divergence, curvature and Ricci tensors, Hessian and Laplacian operators. We construct examples of $f$-statistical connections and study the introducing concepts on them. Finally we introduce Miao-Tam statistical manifolds and study properties of them.
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Cite This Article
Peyghan, E., Nourmohammadifar, L., Ali, A. (2025). $f$-statistical connections and Miao-Tam statistical manifolds. Hacettepe Journal of Mathematics and Statistics, Volume: 54 Issue: 2. https://doi.org/10.15672/hujms.1414765