Cover Image

Non-Asymptotic Analysis of Classical Spectrum Estimators with $L$-mixing Time-series Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Yuping, Lamperski, Andrew
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-Asymptotic Analysis of Classical Spectrum Estimators for $L$-mixing Time-series Data with Unknown Means
by: Zheng, Yuping, et al.
Published: (2025)

Non-Asymptotic Error Bounds for Causally Conditioned Directed Information Rates of Gaussian Sequences
by: Zheng, Yuping, et al.
Published: (2025)

Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
by: Lamperski, Andrew, et al.
Published: (2024)

Asymptotic Theory for Doubly Robust Estimators with Continuous-Time Nuisance Parameters
by: Ying, Andrew
Published: (2023)

Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation
by: Morisset, Lucas, et al.
Published: (2025)

Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential
by: Zheng, Yuping, et al.
Published: (2025)

On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
by: Lakshminarayanan, Braghadeesh, et al.
Published: (2025)

Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification
by: Naulet, Zacharie, et al.
Published: (2021)

Asymptotic Breakdown Point Analysis for a General Class of Minimum Divergence Estimators
by: Roy, Subhrajyoty, et al.
Published: (2023)

Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
by: Li, Lin
Published: (2026)

Asymptotic inference in a stationary quantum time series
by: Nussbaum, Michael, et al.
Published: (2025)

Asymptotic Normality of the Conditional Value-at-Risk based Pickands Estimator
by: Li, Yizhou, et al.
Published: (2024)

Information Geometry and Asymptotic Theory for SMML Estimators
by: Makalic, Enes, et al.
Published: (2026)

Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition
by: Koriyama, Takuya, et al.
Published: (2022)

Asymptotics for parametric martingale posteriors
by: Fong, Edwin, et al.
Published: (2024)

Asymptotic Bayes Optimality for Sparse Count Data
by: Paul, Sayantan, et al.
Published: (2024)

A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
by: Dandi, Yatin, et al.
Published: (2024)

Asymptotic Results for Penalized Quasi-Likelihood Estimation in Generalized Linear Mixed Models
by: Ning, Xu, et al.
Published: (2024)

Asymptotic Theory for Estimation of the Husler-Reiss Distribution via Block Maxima Method
by: Flury, Hank, et al.
Published: (2024)

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

A Neural Network Algorithm for KL Divergence Estimation with Quantitative Error Bounds
by: Foss, Mikil, et al.
Published: (2025)

Bias Reduction for nonparametric Estimators applied to functional Data Analysis
by: Birke, Melanie, et al.
Published: (2025)

Linear Model Estimators and Consistency under an Infill Asymptotic Domain
by: Natoli, Cory W., et al.
Published: (2024)

Hazard Rate for Associated Data in Deconvolution Problems: Asymptotic Normality
by: Essalih, Benjrada Mohammed
Published: (2025)

Estimation and variable selection in high dimension in nonlinear mixed-effects models
by: Caillebotte, Antoine, et al.
Published: (2025)

An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
by: Agterberg, Joshua, et al.
Published: (2023)

Sequential Multiple Testing: A Second-Order Asymptotic Analysis
by: Liu, Jingyu, et al.
Published: (2026)

A Proof of Strong Consistency of Maximum Likelihood Estimator for Independent Non-Identically Distributed Data
by: Ferreira, Ricardo, et al.
Published: (2025)

Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)

Estimating weak periodic vector autoregressive time series
by: Maïnassara, Yacouba Boubacar, et al.
Published: (2024)

Asymptotics of Nonparametric Estimation under general non-monotone MAR missingness: A Bayesian Approach
by: Chérief-Abdellatif, Badr-Eddine, et al.
Published: (2026)

On the Asymptotic Normality of Trimmed and Winsorized L-statistics
by: Poudyal, Chudamani
Published: (2024)

Asymptotic Properties of the Maximum Likelihood Estimator for Markov-switching Observation-driven Models
by: Krabbe, Frederik
Published: (2024)

Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)

Two-stage Quantum Estimation and the Asymptotics of Quantum-enhanced Transmittance Sensing
by: Gong, Zihao, et al.
Published: (2024)

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
by: Li, Gen, et al.
Published: (2023)

Asymptotically Optimal Sequential Testing with Markovian Data
by: Sethi, Alhad, et al.
Published: (2026)

Sharp Non-Asymptotic Bounds for the Star Discrepancy of Double-Infinite Random Matrices via Optimal Covering Numbers
by: Xu, Xiaoda, et al.
Published: (2025)

Asymptotics for conformal inference
by: Gazin, Ulysse
Published: (2024)

A Thermodynamic Structure of Asymptotic Inference
by: Wong, Willy
Published: (2026)