Bala Rajaratnam
About
Bala Rajaratnam has authored 78 papers that have received a total of 2.8k indexed citations.
This includes 26 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 18 papers in Global and Planetary Change. The topics of these papers are Statistical Methods and Inference (18 papers), Climate variability and models (16 papers) and Bayesian Methods and Mixture Models (13 papers). Bala Rajaratnam is often cited by papers focused on Statistical Methods and Inference (18 papers), Climate variability and models (16 papers) and Bayesian Methods and Mixture Models (13 papers) and collaborates with scholars based in United States, Singapore and Australia. Bala Rajaratnam's co-authors include Dominique Guillot, Noah S. Diffenbaugh, Apoorva Khare, Michael Tsiang and Deepti Singh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association
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