3 citations · 6 across the 19 of their papers we have counts for
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Linearity-Inducing Priors for Poisson Parameter Estimation Under Loss
Leighton P. Barnes, Alex Dytso, H. Vincent Poor
We study prior distributions for Poisson parameter estimation under loss. Specifically, we construct a new family of prior distributions whose optimal Bayesian estimators (th…
Generalized Linear Models with 1-Bit Measurements: Asymptotics of the Maximum Likelihood Estimator
Jaimin Shah, Martina Cardone, Cynthia Rush +1
This work establishes regularity conditions for consistency and asymptotic normality of the multiple parameter maximum likelihood estimator(MLE) from censored data, where the censo…
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution
Michael Fauss, Alex Dytso, Abdelhak M. Zoubir +1
Tight bounds on the minimum mean square error for the additive Gaussian noise channel are derived, when the input distribution is constrained to be epsilon-close to a Gaussian refe…