Saha, Arkajyoti, Sumanta Basu, and Abhirup Datta. "Random forests for spatially dependent data." Journal of the American Statistical Association: Theory and Methods 118.541 (2023): 665-683. DOI

Weber, Lukas M., Arkajyoti Saha, Abhirup Datta, Kasper D. Hansen, and Stephanie C. Hicks. "nnSVG: scalable identification of spatially variable genes using nearest-neighbor Gaussian processes." Nature Communications 14.1 (2023): 4059. DOI 

Saha, Arkajyoti, and Abhirup Datta. "Random forests for binary geospatial data." arXiv preprint arXiv:2302.13828 (2023)(Under review). DOI.

Saha, Arkajyoti, Daniela Witten, and Jacob Bien. "Inferring independent sets of Gaussian variables after thresholding correlation." arXiv preprint arXiv:2211.01521 (2022) (Under second round review in Journal of the American Statistical Association: Theory and Methods). DOI 

Saha, Arkajyoti, Abhirup Datta, and Sudipto Banerjee. "Scalable Predictions for Spatial Probit Linear Mixed Models Using Nearest Neighbor Gaussian Processes." Journal of Data Science 20, no. 4 (2022). DOI 

Saha, Arkajyoti, Sumanta Basu, and Abhirup Datta. "RandomForestsGLS: An R package for Random Forests for dependent data." Journal of Open Source Software 7, no. 70 (2022): 3780. DOI 

Datta, Abhirup, Arkajyoti Saha, Misti Levy Zamora, Colby Buehler, Lei Hao, Fulizi Xiong, Drew R. Gentner, and Kirsten Koehler. "Statistical field calibration of a low-cost PM2. 5 monitoring network in Baltimore." Atmospheric Environment 242 (2020): 117761. DOI

Saha, Arkajyoti, and Abhirup Datta. "BRISC: bootstrap for rapid inference on spatial covariances." Stat 7, no. 1 (2018): e184. DOI

Saha, Arkajyoti, and Swagatam Das. "On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis." Fuzzy Sets and Systems 340 (2018): 73-90. DOI

Saha, Arkajyoti, and Swagatam Das. "Clustering of fuzzy data and simultaneous feature selection: A model selection approach." Fuzzy Sets and Systems 340 (2018): 1-37. DOI

Saha, Arkajyoti, and Swagatam Das. "Stronger convergence results for the center-based fuzzy clustering with convex divergence measure." IEEE transactions on cybernetics 49, no. 12(2018): 4229-4242. DOI

Saha, Arkajyoti, and Swagatam Das. "Axiomatic generalization of the membership degree weighting function for fuzzy C means clustering: Theoretical development and convergence analysis." Information Sciences 408 (2017): 129-145. DOI

Saha, Arkajyoti, and Swagatam Das. "Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective." Machine Learning 106, no. 7(2017): 951-992. DOI

Saha, Arkajyoti, and Swagatam Das. "Geometric divergence based fuzzy clustering with strong resilience to noise features." Pattern Recognition Letters 79 (2016): 60-67. DOI

Saha, Arkajyoti, and Swagatam Das. "Optimizing cluster structures with inner product induced norm based dissimilarity measures: Theoretical development and convergence analysis." Information Sciences 372 (2016): 796-814. DOI

Saha, Arkajyoti, and Swagatam Das. "Categorical fuzzy k-modes clustering with automated feature weight learning." Neurocomputing 166 (2015): 422-435. DOI

Saha, Arkajyoti, and Swagatam Das. "Automated feature weighting in clustering with separable distances and inner product induced norms - A theoretical generalization." Pattern Recognition Letters 63 (2015): 50-58. DOI

Saha, Arkajyoti, and Nilanjan Chatterjee. "Integration of individual- and summary-level data from genome-wide association studies." 

Zhao, Ruzhang, Prosenjit Kundu, Arkajyoti Saha, and Nilanjan Chatterjee. "Transfer Learning with Unmatched Features for Regularized Generalized Linear Models."

Cole, Nolan, Arkajyoti Saha, and Daniela Witten. "Selective Inference for Canonical Correlation Analysis after variable selection."

Saha, Arkajyoti, Bror Johnson, Giles Hooker, Daniela Witten, and Jacob Bien. "Inference on correlated ensemble estimates with application to the global carbon cycle.