Image de couverture de livre

Non-Asymptotic Error Bounds for Causally Conditioned Directed Information Rates of Gaussian Sequences

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zheng, Yuping, Lamperski, Andrew
Format:	Preprint
Publié:	2025
Sujets:	Information Theory Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Non-Asymptotic Analysis of Classical Spectrum Estimators with $L$-mixing Time-series Data
par: Zheng, Yuping, et autres
Publié: (2024)

Non-Asymptotic Analysis of Classical Spectrum Estimators for $L$-mixing Time-series Data with Unknown Means
par: Zheng, Yuping, et autres
Publié: (2025)

A Neural Network Algorithm for KL Divergence Estimation with Quantitative Error Bounds
par: Foss, Mikil, et autres
Publié: (2025)

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

Gambling-Based Confidence Sequences for Bounded Random Vectors
par: Ryu, J. Jon, et autres
Publié: (2024)

Optimal Non-Adaptive Group Testing with One-Sided Error Guarantees
par: McMorrow, Daniel, et autres
Publié: (2025)

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

Support Recovery and $\ell_2$-Error Bound for Sparse Regression with Quadratic Measurements via Weakly-Convex-Concave Regularization
par: Fan, Jun, et autres
Publié: (2026)

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

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

PTF Testing Lower Bounds for Non-Gaussian Component Analysis
par: Diakonikolas, Ilias, et autres
Publié: (2025)

Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
par: Kim, Gilhan
Publié: (2026)

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
par: Li, Gen, et autres
Publié: (2023)

Asymptotically Minimax Robust Likelihood Ratio Test
par: Gül, Gökhan
Publié: (2026)

Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
par: Liu, Lei, et autres
Publié: (2025)

From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
par: Gül, Gökhan
Publié: (2026)

Online Clustering of Data Sequences with Bandit Information
par: Chandran, G Dhinesh, et autres
Publié: (2025)

Asymptotic mutual information in quadratic estimation problems over compact groups
par: Yang, Kaylee Y., et autres
Publié: (2024)

A Thermodynamic Structure of Asymptotic Inference
par: Wong, Willy
Publié: (2026)

Anytime-Valid Quantum State Tomography via Confidence Sequences
par: Cumitini, Aldo, et autres
Publié: (2026)

Testing and estimation in orthosymmetric Gaussian sequence model
par: Jia, Zeyu, et autres
Publié: (2025)

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

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

Gaussian Broadcast on Grids
par: Jiradilok, Pakawut, et autres
Publié: (2024)

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

Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
par: Pananjady, Ashwin, et autres
Publié: (2024)

Bounds on Maximal Leakage over Bayesian Networks
par: Makur, Anuran, et autres
Publié: (2025)

Rate of convergence of the smoothed empirical Wasserstein distance
par: Block, Adam, et autres
Publié: (2022)

Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
par: Lamperski, Andrew, et autres
Publié: (2024)

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
par: Fan, Jianqing, et autres
Publié: (2025)

Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
par: Zhang, Yihan, et autres
Publié: (2022)

Asymptotic Error Rates for Point Process Classification
par: Rong, Xinhui, et autres
Publié: (2024)

Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
par: Stamouli, Charis, et autres
Publié: (2024)

Comparing Comparators in Generalization Bounds
par: Hellström, Fredrik, et autres
Publié: (2023)

Detecting Correlation between Multiple Unlabeled Gaussian Networks
par: Ameen, Taha, et autres
Publié: (2025)

Two-stage Quantum Estimation and the Asymptotics of Quantum-enhanced Transmittance Sensing
par: Gong, Zihao, et autres
Publié: (2024)

Large and Small Deviations for Statistical Sequence Matching
par: Zhou, Lin, et autres
Publié: (2024)

Fisher-Rao distances between finite-energy signals in Gaussian noise
par: Florin, Franck
Publié: (2025)

Gaussian random projections of convex cones: approximate kinematic formulae and applications
par: Han, Qiyang, et autres
Publié: (2022)

Tighter Confidence Intervals under Without Replacement Sampling via Empirical Rate Functions
par: Shekhar, Shubhanshu, et autres
Publié: (2026)