Saha, Arkajyoti, Daniela Witten, and Jacob Bien. "Inferring independent sets of Gaussian variables after thresholding correlation." arXiv preprint arXiv:2211.01521 (2022). DOI 

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

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." bioRxiv (2022): 2022-05. 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 

Saha, Arkajyoti, Sumanta Basu, and Abhirup Datta. "Random forests for spatially dependent data." Journal of the American Statistical Association (2021): 1-19. 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 Nilanjan Chatterjee. "Integration of individual- and summary-level data from genome-wide association studies." Manuscript under preparation.

Saha, Arkajyoti, Yan Zhang, Xiao Xie and Nilanjan Chatterjee. "Enrichment analysis in genome-wide association studies through modeling of effect-size distribution in relation to annotations and genomic propensity scores." Manuscript under preparation.

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 in-duced 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