:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Daon, Yair
Format:	Preprint
Published:	2020
Subjects:	Statistics Theory 62F15, 35R30 (Primary) 28C20 (Secondary)
Online Access:	https://arxiv.org/abs/2007.12032
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust optimal design of large-scale Bayesian nonlinear inverse problems
by: Chowdhary, Abhijit, et al.
Published: (2024)

Horospherical Depth and Busemann Median on Hadamard Manifolds
by: Jiang, Yangdi, et al.
Published: (2026)

General M-estimators of location on Riemannian manifolds: existence and uniqueness
by: Lee, Jongmin, et al.
Published: (2025)

Optimal low-rank posterior mean and distribution approximation in linear Gaussian inverse problems on Hilbert spaces
by: Carere, Giuseppe, et al.
Published: (2025)

Bayesian inference for the fractional Calderón problem with a single measurement
by: Kow, Pu-Zhao, et al.
Published: (2025)

Posterior contraction under misspecification and heteroscedasticity in non-linear inverse problems
by: Seizilles, Fanny, et al.
Published: (2026)

Minimum $Φ$-distance estimators for finite mixing measures
by: Wei, Yun, et al.
Published: (2023)

Uniform error bounds of the ensemble transform Kalman filter for infinite-dimensional dynamics with multiplicative covariance inflation
by: Takeda, Kota, et al.
Published: (2024)

Global polynomial-time estimation in statistical nonlinear inverse problems via generalized stability
by: Wang, Sven
Published: (2026)

Observable Covariance and Principal Observable Analysis for Data on Metric Spaces
by: Karacam, Ece, et al.
Published: (2025)

Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
by: Volkaerts, Maarten, et al.
Published: (2026)

Gaussian mixture models in Hilbert spaces via kernel methods
by: López-Montero, Daniel, et al.
Published: (2026)

Local asymptotics of selection models with applications in Bayesian selective inference
by: Rasines, Daniel G., et al.
Published: (2023)

Kernel Stein Discrepancy on Lie Groups: Theory and Applications
by: Qu, Xiaoda, et al.
Published: (2023)

Classification of small-ball modes and maximum a posteriori estimators in metric spaces
by: Klebanov, Ilja, et al.
Published: (2023)

Multifidelity sensor placement in Bayesian state estimation problems
by: Ramon, Gabriela, et al.
Published: (2026)

A Bayesian approach to inverse problems in spaces of measures
by: Huynh, Phuoc-Truong
Published: (2025)

Huber means on Riemannian manifolds
by: Lee, Jongmin, et al.
Published: (2024)

Confidence intervals for causal effects in sequential decision making
by: Vovk, Vladimir, et al.
Published: (2026)

A central limit theorem for random tangent fields on stratified spaces
by: Mattingly, Jonathan C., et al.
Published: (2023)

Semi-supervised Community Detection using Glauber Dynamics for an Ising Model
by: Avrachenkov, Konstantin, et al.
Published: (2025)

An order-theoretic perspective on modes and maximum a posteriori estimation in Bayesian inverse problems
by: Lambley, Hefin, et al.
Published: (2022)

Concentration bounds for intrinsic dimension estimation using Gaussian kernels
by: Andersson, Martin
Published: (2025)

Jittering and Clustering: Strategies for the Construction of Robust Designs
by: Wiens, Douglas
Published: (2023)

Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions
by: van der Spek, Rutger, et al.
Published: (2022)

Minimax estimation of the structure factor of spatial point processes
by: Mastrilli, Gabriel
Published: (2025)

Conditioning of Banach Space Valued Gaussian Random Variables: An Approximation Approach Based on Martingales
by: Steinwart, Ingo
Published: (2024)

Quasisymmetries of finitely ramified Julia sets
by: Belk, James, et al.
Published: (2023)

Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024)

Robust density estimation with the $\mathbb{L}_{1}$-loss. Applications to the estimation of a density on the line satisfying a shape constraint
by: Baraud, Y., et al.
Published: (2022)

Improving variable selection properties with data integration and transfer learning
by: Rognon-Vael, Paul, et al.
Published: (2025)

Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)

A Bayesian cluster validity index
by: Wiroonsri, Nathakhun, et al.
Published: (2024)

Variance Inequalities for Transformed Fréchet Means in Hadamard Spaces
by: Schötz, Christof
Published: (2023)

Complete Asymptotic Expansions for the Normalizing Constants of High-Dimensional Matrix Bingham and Matrix Langevin Distributions
by: Bagyan, Armine, et al.
Published: (2024)

Exclusivity Classes and Partitions of Loss Functions
by: Halkiewicz, Stanisław M. S.
Published: (2025)

Concentration of Measure under Diffeomorphism Groups: A Universal Framework with Optimal Coordinate Selection
by: Nembé, Jocelyn
Published: (2025)

Simple and Sharp Generalization Bounds via Lifting
by: Liu, Jingbo
Published: (2025)

Strong consistency of the local linear estimator for a generalized regression function with dependent functional data
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)

Twisted Frobenius-Schur Indicators and Character Degree Sums in Dihedral Groups
by: Yerrapati, Venkata Subbaiah, et al.
Published: (2026)