2 papers
cs.LG2026
El Nino Prediction Based on Weather Forecast and Geographical Time-series Data
Viet Trinh, Ha-Vy Luu, Quoc-Khiem Nguyen-Pham +3
This paper proposes a novel framework for enhancing the prediction accuracy and lead time of El Niño events, crucial for mitigating their global climatic, economic, and societal im…
stat.ME2020
Cluster analysis and outlier detection with missing data
Hung Tong, Cristina Tortora
A mixture of multivariate contaminated normal (MCN) distributions is a useful model-based clustering technique to accommodate data sets with mild outliers. However, this model only…