Propose a strategy for selecting an efficient point estimate for your Bayesian model. Consider the tradeoff between computational efficiency and the impact of prior knowledge on generalization performance.

Use the Maximum a Posteriori (MAP) point estimate, which balances the need for tractability with the incorporation of prior knowledge. This can be achieved by carefully tuning the prior distribution to reflect domain expertise and avoid over-smoothing or under-smoothing the posterior.