Multiscale likelihood analysis and complexity penalized estimation
@article{Kolaczyk2004MultiscaleLA, title={Multiscale likelihood analysis and complexity penalized estimation}, author={E. Kolaczyk and R. Nowak}, journal={Annals of Statistics}, year={2004}, volume={32}, pages={500-527} }
We describe here a framework for a certain class of multiscale likelihood factorizations wherein, in analogy to a wavelet decomposition of an L 2 function, a given likelihood function has an alternative representation as a product of conditional densities reflecting information in both the data and the parameter vector localized in position and scale. The framework is developed as a set of sufficient conditions for the existence of such factorizations, formulated in analogy to those underlying… CONTINUE READING
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References
SHOWING 1-10 OF 30 REFERENCES
A statistical multiscale framework for Poisson inverse problems
- Mathematics, Computer Science
- IEEE Trans. Inf. Theory
- 2000
- 132