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Estimation in Poisson Noise: Properties of the Conditional Mean
  Estimator
v1v2 (latest)

Estimation in Poisson Noise: Properties of the Conditional Mean Estimator

9 November 2019
Alex Dytso
H. Vincent Poor
ArXiv (abs)PDFHTML

Papers citing "Estimation in Poisson Noise: Properties of the Conditional Mean Estimator"

5 / 5 papers shown
Title
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya
Abhiram Gorle
Ahmed Mohsin
Ahsan Bilal
Connor Ding
Amit Kumar Singh Yadav
DiffM
230
1
0
08 May 2025
Multivariate Priors and the Linearity of Optimal Bayesian Estimators
  under Gaussian Noise
Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise
L. P. Barnes
Alex Dytso
Jingbo Liu
H. V. Poor
20
4
0
30 Jan 2024
A General Derivative Identity for the Conditional Mean Estimator in
  Gaussian Noise and Some Applications
A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications
Alex Dytso
H. Vincent Poor
S. Shamai
48
15
0
05 Apr 2021
The Vector Poisson Channel: On the Linearity of the Conditional Mean
  Estimator
The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator
Alex Dytso
Michael Faus
H. Vincent Poor
43
6
0
19 Mar 2020
A Cramér-Rao Type Bound for Bayesian Risk with Bregman Loss
A Cramér-Rao Type Bound for Bayesian Risk with Bregman Loss
Member Ieee Alex Dytso
Member Ieee Michael Fauß
L. F. I. H. Vincent Poor
BDL
32
3
0
29 Jan 2020
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