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stat.ML2026
Deep-testing: the case of dependence detection
Gery Geenens, Pierre Lafaye de Micheaux, Ivan Muyun Zou
Deep learning methods have proved highly effective for classification and image recognition problems. In this paper, we ask whether this success can be transferred to hypothesis te…
stat.ML2026
tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
Amuche Ibenegbu, Pierre Lafaye de Micheaux, Rohitash Chandra
Time-series analysis is often affected by missing data, a common problem across several fields, including healthcare and environmental monitoring. Multiple Imputation by Chained Eq…