A General Class of Lower Bounds in Parameter Estimation

Ehud Weinstein*, Anthony J. Weiss

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


A general class of Bayesian lower bounds on moments of the error in parameter estimation is formulated, and it is shown that the Cramer#x2014;Rao, the Bhattacharyya, the Bobrovsky- Zakai, and the Weiss-Weinstein lower bounds are special cases in the class. The bounds can be applied to the estimation of vector parameters and any given function of the parameters.

Original languageEnglish
Pages (from-to)338-342
Number of pages5
JournalIEEE Transactions on Information Theory
Issue number2
StatePublished - Mar 1988


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