
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