Aryeh Kontorovich

Senior Academic

Statistical estimation with bounded memory

We investigate bounded-memory estimators of statistical functionals. It is shown that, for nondegenerate functionals and stochastic processes, it is impossible to achieve consistent estimation with bounded memory. In the positive direction, we show that O(log(1/ε)) states suffice to achieve ε-consistent estimation for a natural class of functionals. A canonical optimal construction is conjectured for arbitrary statistical functionals.

Publication language English
Pages 1155-1164
Journal Statistics and Computing
Volume 22
Issue number 5
Publication status Published - 01.09.2012

Keywords

Automaton
Bounded memory
DFA
Regular approximation
Statistical estimation

ASJC Scopus subject areas

Theoretical Computer Science
Statistics and Probability
Statistics, Probability and Uncertainty
Computational Theory and Mathematics
Access to Document
10.1007/s11222-011-9293-5
Other files and links
Link to publication in Scopus