Norou Diawara

Zero-inflated count time series models using Gaussian copula

2019 · Sequential Analysis

Count time series data are observed in several applied disciplines such as environmental science, biostatistics, economics, public health, and finance. In some cases, a specific count, usually zero, may occur more often than other counts. …

Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records

2025 · arXiv (Cornell University)

The importance of clinical variables in the prognosis of the disease is explained using statistical correlation or machine learning (ML). However, the predictive importance of these variables may not represent their causal relationships with diseases. …