Image de couverture de livre

Linearity-Inducing Priors for Poisson Parameter Estimation Under $L^{1}$ Loss

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Barnes, Leighton P., Dytso, Alex, Poor, H. Vincent
Format:	Preprint
Publié:	2025
Sujets:	Statistics Theory Information Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise
par: Barnes, Leighton P., et autres
Publié: (2024)

$L^1$ Estimation: On the Optimality of Linear Estimators
par: Barnes, Leighton P., et autres
Publié: (2023)

An Improved Lower Bound on Cardinality of Support of the Amplitude-Constrained AWGN Channel
par: Wang, Haiyang, et autres
Publié: (2025)

$α$-Mutual Information for the Gaussian Noise Channel
par: Milanian, Mohammad, et autres
Publié: (2026)

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
par: Barnes, L. P., et autres
Publié: (2022)

Functional Properties of the Focal-Entropy
par: Shah, Jaimin, et autres
Publié: (2026)

Lossy Source Coding with Focal Loss
par: Dytso, Alex, et autres
Publié: (2025)

On Unbiased Low-Rank Approximation with Minimum Distortion
par: Barnes, Leighton Pate, et autres
Publié: (2025)

Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels
par: Barletta, Luca, et autres
Publié: (2024)

Information Geometry Approach to Parameter Estimation in Hidden Markov Models
par: Hayashi, Masahito
Publié: (2017)

Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors
par: Egger, Maximilian, et autres
Publié: (2025)

Two New Families of Local Asymptotically Minimax Lower Bounds in Parameter Estimation
par: Merhav, Neri
Publié: (2024)

Efficient Unbiased Sparsification
par: Barnes, Leighton, et autres
Publié: (2024)

The Nonparametric Kiefer-Weiss Problem
par: Fauss, Michael, et autres
Publié: (2026)

Estimation Error: Distribution and Pointwise Limits
par: Barletta, Luca, et autres
Publié: (2025)

Uniform Distribution on $(n-1)$-Sphere: Rate-Distortion under Squared Error Distortion
par: Dytso, Alex, et autres
Publié: (2024)

A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
par: Chen, Junren, et autres
Publié: (2025)

Generalized Linear Models with 1-Bit Measurements: Asymptotics of the Maximum Likelihood Estimator
par: Shah, Jaimin, et autres
Publié: (2025)

Barankin-Type Bound for Constrained Parameter Estimation
par: Nitzan, Eyal, et autres
Publié: (2023)

Stable Phase Retrieval: Optimal Rates in Poisson and Heavy-tailed Models
par: Huang, Gao, et autres
Publié: (2025)

Robust Estimation Under Heterogeneous Corruption Rates
par: Chaudhuri, Syomantak, et autres
Publié: (2025)

$L_q$ Lower Bounds on Distributed Estimation via Fisher Information
par: Chen, Wei-Ning, et autres
Publié: (2024)

Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification
par: Harel, Nadav, et autres
Publié: (2023)

Support Size of $\varepsilon$-Capacity-Achieving Inputs for the Amplitude-Constrained AWGN Channel
par: Barletta, Luca, et autres
Publié: (2026)

Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses
par: Yuan, Deheng, et autres
Publié: (2024)

Dual Representation of Minimum Divergence Under Integral Constraints
par: Shekhar, Shubhanshu, et autres
Publié: (2026)

List Estimation
par: Zlatanov, Nikola, et autres
Publié: (2026)

Debiased LASSO under Poisson-Gauss Model
par: Abdalla, Pedro, et autres
Publié: (2024)

Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels
par: Jeong, Minoh, et autres
Publié: (2024)

Statistical Limits for Finite-Rank Tensor Estimation
par: Rossetti, Riccardo, et autres
Publié: (2025)

Minimax Analysis of Estimation Problems in Coherent Imaging
par: Xing, Hao, et autres
Publié: (2025)

Information Lower Bounds for Robust Mean Estimation
par: Degenne, Rémy, et autres
Publié: (2024)

One-Bit Distributed Mean Estimation with Unknown Variance
par: Kumar, Ritesh, et autres
Publié: (2025)

Linear Regression from 1-bit Quantized Data
par: Hill, Daniel, et autres
Publié: (2026)

Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
par: Zhang, Yihan, et autres
Publié: (2023)

The General Formulation of Loss-Based Priors for Parameter Spaces
par: Villa, Cristiano
Publié: (2026)

On Semi-supervised Estimation of Discrete Distributions under f-divergences
par: Erol, Hasan Sabri Melihcan, et autres
Publié: (2024)

Multiple sequences Prophet Inequality Under Observation Constraints
par: Tsopelakos, Aristomenis, et autres
Publié: (2024)

Linear Operator Approximate Message Passing (OpAMP)
par: Rossetti, Riccardo, et autres
Publié: (2024)

Quickest Change Detection for Multiple Data Streams Using the James-Stein Estimator
par: Halme, Topi, et autres
Publié: (2024)