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Saralees Nadarajah

5 papers indexed

openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

R Code for: Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework

Talal Kurdi, Saralees Nadarajah

This repository contains the R code used in the paper "Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework" by Talal Kurdi and Saralees Nadarajah. The code implements Bayesian Additive Regression Trees (BART) methods for regression with circular dat…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

R Code for: Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework

Talal Kurdi, Saralees Nadarajah

This repository contains the R code used in the paper "Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework" by Talal Kurdi and Saralees Nadarajah. The code implements Bayesian Additive Regression Trees (BART) methods for regression with circular dat…

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

R Code for: Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework

Talal Kurdi, Saralees Nadarajah

This repository contains the R code used in the paper "Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework" by Talal Kurdi and Saralees Nadarajah. The code implements Bayesian Additive Regression Trees (BART) methods for regression with circular dat…

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crossrefJournal of Risk and Financial Management2025-06-24Cited by 1

Implementing Custom Loss Functions in Advanced Machine Learning Structures for Targeted Outcomes

Thomas Hitchen, Saralees Nadarajah

In the era of rapid technological advancement and ever-increasing data availability, the field of risk modeling faces both unprecedented challenges and opportunities. Traditional risk modeling approaches, while robust, often struggle to capture the complexity and dynamic nature o…

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crossrefMachine Learning and Knowledge Extraction2024-11-16Cited by 22

Application of Bayesian Neural Networks in Healthcare: Three Case Studies

Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

This study aims to explore the efficacy of Bayesian Neural Networks (BNNs) in enhancing predictive modeling for healthcare applications. Advancements in artificial intelligence have significantly improved predictive modeling capabilities, with BNNs offering a probabilistic framew…

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