3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IT2014
Universal compression of Gaussian sources with unknown parameters
A. Orlitsky, N. Santhanam
For a collection of distributions over a countable support set, the worst case universal compression formulation by Shtarkov attempts to assign a universal distribution over the su…
cs.IT2014★ 3 cited
On redundancy of memoryless sources over countable alphabets
Maryam Hosseini, Narayana Santhanam
The minimum average number of bits need to describe a random variable is its entropy, assuming knowledge of the underlying statistics On the other hand, universal compression suppo…
cs.IT2012
Alternating Markov Chains for Distribution Estimation in the Presence of Errors
Farzad Farnoud, Narayana P. Santhanam, Olgica Milenkovic
We consider a class of small-sample distribution estimators over noisy channels. Our estimators are designed for repetition channels, and rely on properties of the runs of the obse…