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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Kullback-Leibler Divergence of Mixture Autoregressive Random Processes via Extreme-Value-Distributions (EVDs) Noise with Application of the Processes to Climate Change

2022Transactions on Machine Learning and Artificial IntelligenceJournalOpen access

10.14738/tmlai.101.11544 Full text3 citations

Authors

2 authors across 4 institutions in 4 countries.

Rasaki Olawale OlanrewajuFirst author
- Pan African Institute for Development (CM)
- Pan-Atlantic University (NG)
Anthony Gichuhi WaitituSenior author
- Jomo Kenyatta University of Agriculture and Technology (KE)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Bayesian Methods and Mixture Modelslevel 3 · 0.99
Financial Risk and Volatility Modelinglevel 3 · 0.98
Statistical Distribution Estimation and Applicationslevel 3 · 0.98

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 24, 2026
2022 · Transactions on Machine Learning and Artificial Intelligence · 3 citations
https://openalex.org/W4207065283

Kullback-Leibler Divergence of Mixture Autoregressive Random Processes via Extreme-Value-Distributions (EVDs) Noise with Application of the Processes to Climate Change · Sankore