Ziv-Zakai-type error bounds for general statistical models

I propose Ziv-Zakai-type lower bounds on the Bayesian error for estimating a parameter $\beta :\mathrm{\Theta }\to \mathbb{R}$ when the parameter space $\mathrm{\Theta }$ is general and $\beta (\theta )$ need not be a linear function of $\theta$.