4 papers
Missing Mass Estimation from Sticky Channels
Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman
Distribution estimation under error-prone or non-ideal sampling modelled as "sticky" channels have been studied recently motivated by applications such as DNA computing. Missing ma…
Missing -mass: Investigating the Missing Parts of Distributions
Prafulla Chandra, Andrew Thangaraj
Estimating the underlying distribution from \textit{iid} samples is a classical and important problem in statistics. When the alphabet size is large compared to number of samples,…
How good is Good-Turing for Markov samples?
Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman
The Good-Turing (GT) estimator for the missing mass (i.e., total probability of missing symbols) in samples is the number of symbols that appeared exactly once divided by .…
Convergence of Chao Unseen Species Estimator
Nived Rajaraman, Prafulla Chandra, Andrew Thangaraj +1
Support size estimation and the related problem of unseen species estimation have wide applications in ecology and database analysis. Perhaps the most used support size estimator i…