8 citations · 8 across the 3 of their papers we have counts for
3 papers
Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error
Lucien Bacharach, Carsten Fritsche, Umut Orguner +1
In random parameter estimation, Bayesian lower bounds (BLBs) for the mean-square error have been noticed to not be tight in a number of cases, even when the sample size, or the sig…
Linearly Constrained Kalman Filter For Linear Discrete State-Space Models
Eric Chaumette, Francois Vincent
For linear discrete state-space (LDSS) models, under certain conditions, the linear least mean squares filter estimate has a convenient recursive predictor/corrector format, aka th…
A class of Weiss-Weinstein bounds and its relationship with the Bobrovsky-Mayer-Wolf-Zakai bounds
Eric Chaumette, Alexandre Renaux, Mohammed Nabil El Korso
A fairly general class of Bayesian "large-error" lower bounds of the Weiss-Weinstein family, essentially free from regularity conditions on the probability density functions suppor…