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Random Forest Adaptation for High-Dimensional Count Regression · Peerford

Article · Journal · 2025

Random Forest Adaptation for High-Dimensional Count Regression

Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Ali Rashash R Alzahrani, Nada MohammedSaeed Alharbi, Asma Ahmad Alzahrani

Mathematics

Open access · Gold
World top 10%
International · 2 countries

Read it 10.3390/math13183041

Citations: 6from other works
Field-weighted impact: 6.351.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 5from 5 institutions

Authors

5 authors across 5 institutions in 2 countries

Oyebayo Ridwan OlaniranFirst author
- University of Ilorin (NG)
Saidat Fehintola Olaniran
- Kwara State University (NG)
Ali Rashash R Alzahrani
as printed: Ali Rashash R. Alzahrani
Nada MohammedSaeed Alharbi
Asma Ahmad Alzahrani

Funded by

Umm Al-Qura University

Countries on it

Nigeria
Saudi Arabia

Also on it

Al Baha Universityeducation · SA
Taibah Universityeducation · SA
Umm al-Qura Universityeducation · SA

Fields

A work can sit in several, each with a score

Statistical Methods and InferenceTopic
Distributed Sensor Networks and Detection AlgorithmsTopic
Gaussian Processes and Bayesian InferenceTopic