:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Kalogridis, Ioannis
Format:	Preprint
Published:	2020
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2002.04898
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023)

Stein's method, smoothing and functional approximation
by: Barbour, A. D., et al.
Published: (2021)

Gaussian approximation for maximum score and non-smooth M-estimators with multiway dependence
by: Chiang, Harold D., et al.
Published: (2026)

Generalized van Trees inequality: Local minimax bounds for non-smooth functionals and irregular statistical models
by: Takatsu, Kenta, et al.
Published: (2024)

Penalized Spline M-Estimators for Discretely Sampled Functional Data: Existence and Asymptotics
by: Kalogridis, Ioannis
Published: (2025)

Adaptive smoothness of function estimation in the three classical problems of the non-parametrical statistic in the three classical problems of the non-parametrical statistic
by: Formica, M. R., et al.
Published: (2024)

Optimal neural network approximation of smooth compositional functions on sets with low intrinsic dimension
by: Nagler, Thomas, et al.
Published: (2026)

Simultaneous inference for monotone and smoothly time-varying functions under complex temporal dynamics
by: Luo, Tianpai, et al.
Published: (2023)

Anisotropic local constant smoothing for change-point regression function estimation
by: Thompson, John R. J., et al.
Published: (2020)

Empirical likelihood for generalized smoothly trimmed mean
by: Kresse, Elina, et al.
Published: (2024)

Marchenko-Pastur laws for Daniell smoothed periodograms
by: Deitmar, Ben
Published: (2024)

Kernel smoothing on manifolds
by: Bae, Eunseong, et al.
Published: (2026)

Rate of convergence of the smoothed empirical Wasserstein distance
by: Block, Adam, et al.
Published: (2022)

Central limit theorems for vector-valued composite functionals with smoothing and applications
by: Chen, Huihui, et al.
Published: (2024)

A smooth transition from Wishart to GOE
by: Racz, Miklos Z., et al.
Published: (2016)

Minimax estimation of Functional Principal Components from noisy discretized functional data: the case of smooth processes
by: Bourarach, Nassim, et al.
Published: (2026)

Dynamic angular synchronization under smoothness constraints
by: Araya, Ernesto, et al.
Published: (2024)

Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities
by: Zhiyuan Du, et al.
Published: (2024)

Scale estimation and rate-unbiasedness for Gaussian processes under smoothness misspecification
by: Karvonen, Toni, et al.
Published: (2021)

Early stopping and polynomial smoothing in regression with reproducing kernels
by: Averyanov, Yaroslav, et al.
Published: (2020)

Optimal score estimation via empirical Bayes smoothing
by: Wibisono, Andre, et al.
Published: (2024)

Identification by non-Gaussianity in structural threshold and smooth transition vector autoregressive models
by: Virolainen, Savi
Published: (2024)

Minimax optimal differentially private synthetic data for smooth queries
by: Ding, Rundong, et al.
Published: (2026)

On large bandwidth matrix values kernel smoothed estimators for multi-index models
by: Moriyama, Taku
Published: (2026)

Off-policy evaluation beyond overlap: partial identification through smoothness
by: Khan, Samir, et al.
Published: (2023)

Penalized spline estimation of principal components for sparse functional data: rates of convergence
by: He, Shiyuan, et al.
Published: (2024)

Efficient estimation for a smoothing thin plate spline in a two-dimensional space
by: Cavieres, Joaquin, et al.
Published: (2024)

Adaptation to inhomogeneous smoothness for densities with irregularities
by: Duval, Céline, et al.
Published: (2024)

Joint estimation of smooth graph signals from partial linear measurements
by: Tyagi, Hemant
Published: (2025)

Statistical learnability of smooth boundaries via pairwise binary classification with deep ReLU networks
by: Waida, Hiroki, et al.
Published: (2025)

HMC and underdamped Langevin united in the unadjusted convex smooth case
by: Gouraud, Nicolaï, et al.
Published: (2022)

Random geometric graphs with smooth kernels: sharp detection threshold and a spectral conjecture
by: Mao, Cheng, et al.
Published: (2026)

Asymptotics of constrained $M$-estimation under convexity
by: Brunel, Victor-Emmanuel
Published: (2025)

A smoothed-Bayesian approach to frequency recovery from sketched data
by: Beraha, Mario, et al.
Published: (2023)

On the statistical nature of Betti numbers and Euler characteristic of smooth random fields
by: Chingangbam, Pravabati
Published: (2025)

M-Variance Asymptotics and Uniqueness of Descriptors
by: Eltzner, Benjamin
Published: (2020)

Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs
by: Reding, Lucas, et al.
Published: (2024)

High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
by: Balasubramanian, Krishnakumar, et al.
Published: (2023)

A mixing time bound for Gibbs sampling from log-smooth log-concave distributions
by: Wadia, Neha S.
Published: (2024)

Sharp bounds in perturbed smooth optimization
by: Spokoiny, Vladimir
Published: (2025)