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ORCIDPrafulla Chandra
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2020 – today
- 2024
[j2]Prafulla Chandra
, Andrew Thangaraj:
Missing g-Mass: Investigating the Missing Parts of Distributions. IEEE Trans. Inf. Theory 70(10): 7049-7065 (2024)- [j1]Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
How good is Good-Turing for Markov samples? Trans. Mach. Learn. Res. 2024 (2024) - [c6]Prafulla Chandra, Andrew Thangaraj:
Missing Mass Under Random Duplications. ISIT 2024: 522-526 - 2022
- [c5]Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass Estimation from Sticky Channels. ISIT 2022: 910-915 - 2021
- [i2]Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Rank-2 Markov Chains. CoRR abs/2102.01938 (2021) - [i1]Prafulla Chandra, Andrew Thangaraj:
Estimation and Concentration of Missing Mass of Functions of Discrete Probability Distributions. CoRR abs/2110.01968 (2021) - 2020
- [c4]Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Markov Chains. ISIT 2020: 1207-1212
2010 – 2019
- 2019
- [c3]Nived Rajaraman, Prafulla Chandra, Andrew Thangaraj, Ananda Theertha Suresh:
Convergence of Chao Unseen Species Estimator. ISIT 2019: 46-50 - [c2]Prafulla Chandra, Andrew Thangaraj:
Concentration and Tail Bounds for Missing Mass. ISIT 2019: 1862-1866 - [c1]Prafulla Chandra, Aditya Pradeep, Andrew Thangaraj:
Improved Tail Bounds for Missing Mass and Confidence Intervals for Good-Turing Estimator. NCC 2019: 1-6
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