6 citations · 9 across the 3 of their papers we have counts for
4 papers
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…
Random forests for binary geospatial data
Arkajyoti Saha, Abhirup Datta
The manuscript develops new method and theory for non-linear regression for binary dependent data using random forests. Existing implementations of random forests for binary data c…
Inferring independent sets of Gaussian variables after thresholding correlations
Arkajyoti Saha, Daniela Witten, Jacob Bien
We consider testing whether a set of Gaussian variables, selected from the data, is independent of the remaining variables. We assume that this set is selected via a very simple ap…
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…