Description Arguments Value References
Constrained Bayes estimator which minimizes posterior weighted squared error loss.
theta_b |
Bayes estimator. |
t |
Pre-specified value to be benchmarked. |
interval |
95% credible interval of |
w |
Weight vector associates with the benchmark. |
phi |
Weight vector associates with weighted squared sum of square loss. |
lambda |
Penalty parameter. Default is λ = ∞ and it will conduct exact benchmark. |
Resulting Benchmarked Bayes Estimator.
datta2011benchbayesae
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