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stat.ML2026
Conformal Prediction for Spatially Dependent Data via Sequential Whitening
Ayush Baran Sen, Arkajyoti Saha
Split conformal prediction uses prediction errors on held-out (calibration) data to determine how wide the prediction intervals should be. It guarantees distribution-free finite-sa…
stat.ML2020★ 6 cited
Random Forests for dependent data
Arkajyoti Saha, Sumanta Basu, Abhirup Datta
Random forest (RF) is one of the most popular methods for estimating regression functions. The local nature of the RF algorithm, based on intra-node means and variances, is ideal w…