10 citations · 10 across the 4 of their papers we have counts for
4 papers
Dimensionally Distributed Learning: Models and Algorithm
Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
This paper introduces a framework for regression with dimensionally distributed data with a fusion center. A cooperative learning algorithm, the iterative conditional expectation a…
Density estimation from an individual numerical sequence
Andrew B. Nobel, Gusztav Morvai, Sanjeev R. Kulkarni
This paper considers estimation of a univariate density from an individual numerical sequence. It is assumed that (i) the limiting relative frequencies of the numerical sequence ar…
Regression estimation from an individual stable sequence
Gusztav Morvai, Sanjeev R. Kulkarni, Andrew B. Nobel
We consider univariate regression estimation from an individual (non-random) sequence , which is stable in the sense that for each…
A Better Good-Turing Estimator for Sequence Probabilities
Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
We consider the problem of estimating the probability of an observed string drawn i.i.d. from an unknown distribution. The key feature of our study is that the length of the observ…