Xiao Fang

发表

High-dimensional central limit theorems by Stein’s method

Yuta Koike, Xiao Fang, 2020, The Annals of Applied Probability.

Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula

Q. Shao, Xiao Fang, Lihu Xu, 2018, Probability Theory and Related Fields.

Discretized normal approximation by Stein’s method

Xiao Fang, 2011, 1111.3162.

A universal error bound in the CLT for counting monochromatic edges in uniformly colored graphs

Xiao Fang, 2014, 1408.0509.

Rates of convergence for multivariate normal approximation with applications to dense graphs and doubly indexed permutation statistics

Xiao Fang, Adrian Röllin, 2012, 1206.6586.

Large-dimensional Central Limit Theorem with Fourth-moment Error Bounds on Convex Sets and Balls

Yuta Koike, Xiao Fang, 2020, 2009.00339.

A Multivariate CLT for Bounded Decomposable Random Vectors with the Best Known Rate

Xiao Fang, 2014, 1408.0508.

A refined Cramér-type moderate deviation for sums of local statistics

Q. Shao, Xiao Fang, Li Luo, 2020 .

New error bounds in multivariate normal approximations via exchangeable pairs with applications to Wishart matrices and fourth moment theorems

Yuta Koike, Xiao Fang, 2020, The Annals of Applied Probability.

Submitted to the Annals of Statistics SEGMENTATION AND ESTIMATION OF CHANGE-POINT MODELS : FALSE POSITIVE CONTROL AND CONFIDENCE REGIONS By

D. Siegmund, Xiao Fang, Jian Li, 2019 .

Arcsine laws for random walks generated from random permutations with applications to genomics

Wenpin Tang, Xiao Fang, Susan Holmes, 2020, Journal of Applied Probability.

Wasserstein-2 bounds in normal approximation under local dependence

Xiao Fang, 2018, Electronic Journal of Probability.

A Multivariate CLT for Bounded Decomposable Random Vectors with the Best Known Rate

Xiao Fang, 2015, Journal of Theoretical Probability.

Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula

Q. Shao, Xiao Fang, Lihu Xu, 2018, Probability Theory and Related Fields.

From p-Wasserstein bounds to moderate deviations

Yuta Koike, Xiao Fang, 2022, Electronic Journal of Probability.

High-dimensional central limit theorems by Stein’s method

Yuta Koike, Xiao Fang, 2020, The Annals of Applied Probability.

ST ] 2 3 M ar 2 01 8 SEGMENTATION AND ESTIMATION OF CHANGE-POINT MODELS

D. Siegmund, Xiao Fang, Jian Li, 2018 .

Segmentation and Estimation of Change-point Models

Jian Li, David Siegmund, Xiao Fang, 2016 .

Poisson approximation for two scan statistics with rates of convergence

D. Siegmund, Xiao Fang, 2014, 1403.4692.

Segmentation and estimation of change-point models: False positive control and confidence regions

D. Siegmund, Xiao Fang, Jian Li, 2016, Annals of Statistics.

Detection and Estimation of Local Signals

D. Siegmund, Xiao Fang, 2020, 2004.08159.

Sharp High-dimensional Central Limit Theorems for Log-concave Distributions

Yuta Koike, Xiao Fang, 2022, 2207.14536.

Limit theorems with rate of convergence under sublinear expectations

Q. Shao, S. Peng, Xiao Fang, 2017, Bernoulli.

From Stein identities to moderate deviations

Qi-Man Shao, Xiao Fang, Louis H. Y. Chen, 2009, 0911.5373.

Correction to: Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula

Q. Shao, Xiao Fang, Lihu Xu, 2019, Probability Theory and Related Fields.

Multivariate Normal Approximation by Stein's Method: The Concentration Inequality Approach

Xiao Fang, Louis H. Y. Chen, Xiao Fang, 2011, 1111.4073.

On the error bound in a combinatorial central limit theorem

Louis H. Y. Chen, Xiao Fang, 2011, 1111.3159.

High-Order Steady-State Diffusion Approximations

Xiao Fang, Anton Braverman, Jim Dai, 2020, Operations Research.

Skewness correction in tail probability approximations for sums of local statistics

Q. Shao, Xiao Fang, Li Luo, 2019, 1904.02623.