Cover Image

Improved Convergence Rate of Nested Simulation with LSE on Sieve

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Ruoxue, Ding, Liang, Wang, Wenjia, Zou, Lu
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Some facts about the optimality of the LSE in the Gaussian sequence model with convex constraint
by: Prasadan, Akshay, et al.
Published: (2024)

Simultaneous Sieve Estimation and Inference for Time-Varying Nonlinear Time Series Regression
by: Ding, Xiucai, et al.
Published: (2025)

Sobolev Calibration of Imperfect Computer Models
by: Zhang, Qingwen, et al.
Published: (2024)

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
by: Banerjee, Sayan, et al.
Published: (2024)

Bayesian Nonparametric Inference in Elliptic PDEs: Convergence Rates and Implementation
by: Giordano, Matteo
Published: (2023)

Uniform Convergence Rate of the Nonparametric Estimator for Integrated Diffusion Processes
by: Ji, Shaolin, et al.
Published: (2024)

Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
by: Manole, Tudor, et al.
Published: (2021)

Rates of Convergence of the Magnetization in the Tensor Curie-Weiss Potts Model
by: Bhowal, Sanchayan, et al.
Published: (2024)

Functional Sieve Bootstrap for the Partial Sum Process with Application to Change-Point Detection
by: Paparoditis, Efstathios, et al.
Published: (2024)

On Convergence Rates of Spiked Eigenvalue Estimates: A General Study of Global and Local Laws in Sample Covariance Matrices
by: Jing, Bing-Yi, et al.
Published: (2025)

Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition
by: Tepakbong, Nathanael, et al.
Published: (2025)

Simultaneous Inference for Nonlinear Time Series, a Sieve M-regression Approach
by: Luo, Tianpai, et al.
Published: (2026)

On Sharpened Convergence Rate of Generalized Sliced Inverse Regression for Nonlinear Sufficient Dimension Reduction
by: Choi, Chak Fung, et al.
Published: (2026)

Breaking a Logarithmic Barrier in the Stopping Time Convergence Rate of Stochastic First-order Methods
by: Feng, Yasong, et al.
Published: (2025)

Rates of Convergence of Generalised Variational Inference Posteriors under Prior Misspecification
by: Mildner, Terje, et al.
Published: (2025)

Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs
by: Yao, Rentian, et al.
Published: (2025)

Convergence Rates for Learning Pseudo-Differential Operators
by: Chen, Jiaheng, et al.
Published: (2026)

Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
by: Genans, Ferdinand, et al.
Published: (2025)

Convergence of empirical Gromov-Wasserstein distance
by: Kato, Kengo, et al.
Published: (2025)

Asymptotic Theory for Linear Functionals of Kernel Ridge Regression
by: Tuo, Rui, et al.
Published: (2024)

Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
by: Holzmüller, David, et al.
Published: (2023)

From Model Selection to Model Averaging: A Comparison for Nested Linear Models
by: Xu, Wenchao, et al.
Published: (2022)

Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
by: Liang, Yuchen, et al.
Published: (2025)

Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
by: Pedrotti, Francesco, et al.
Published: (2023)

Dynamic Investment Strategies Through Market Classification and Volatility: A Machine Learning Approach
by: Li, Jinhui, et al.
Published: (2025)

Structural Nested Mean Models Under Parallel Trends Assumptions
by: Shahn, Zach, et al.
Published: (2022)

Improved Rates of Bootstrap Approximation for the Operator Norm: A Coordinate-Free Approach
by: Lopes, Miles E.
Published: (2022)

Rerandomization for covariate balance mitigates p-hacking in regression adjustment
by: Lu, Xin, et al.
Published: (2025)

The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control
by: Liang, Jiajun, et al.
Published: (2024)

Rates of Convergence of Maximum Smoothed Log-Likelihood Estimators for Semi-Parametric Multivariate Mixtures
by: de Chaumaray, Marie Du Roy, et al.
Published: (2025)

Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
by: Balasubramanian, Krishnakumar
Published: (2026)

Improving the Convergence Rates of Forward Gradient Descent with Repeated Sampling
by: Dexheimer, Niklas, et al.
Published: (2024)

Entry-Wise Eigenvector Analysis and Improved Rates for Topic Modeling on Short Documents
by: Ke, Zheng Tracy, et al.
Published: (2024)

Nested Nonparametric Instrumental Variable Regression
by: Meza, Isaac, et al.
Published: (2021)

Surrogate-Assisted Targeted Learning for Nested Bridge Functionals under Administrative Censoring
by: Li, Lin, et al.
Published: (2026)

On Convergence of the Alternating Directions SGHMC Algorithm
by: Ghosh, Soumyadip, et al.
Published: (2024)

Convergence Analysis of function-on-function Polynomial regression model
by: Gupta, Naveen, et al.
Published: (2025)

Model-Agnostic and Uncertainty-Aware Dimensionality Reduction in Supervised Learning
by: Yu, Yue, et al.
Published: (2026)

Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
by: Zucker, Shai, et al.
Published: (2025)

Convergence rates for estimating multivariate scale mixtures of uniform densities
by: Kim, Arlene K. H., et al.
Published: (2024)