Search Results for author: Haoyu Wei

Found 10 papers, 1 papers with code

Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm

no code implementations13 Mar 2023 Huiming Zhang, Haoyu Wei, Guang Cheng

In non-asymptotic statistical inferences, variance-type parameters of sub-Gaussian distributions play a crucial role.

Multiplier Bootstrap-based Exploration

no code implementations3 Feb 2023 Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song

Despite the great interest in the bandit problem, designing efficient algorithms for complex models remains challenging, as there is typically no analytical way to quantify uncertainty.

Multi-Armed Bandits

Inference and FDR Control for Simulated Markov Random Fields in High-dimension

no code implementations11 Feb 2022 Haoyu Wei, Xiaoyu Lei, Huiming Zhang

We further propose a decorrelated score test based on the decorrelated score function and prove the asymptotic normality of the score function without the influence of many nuisance parameters under the assumption that it accelerates the convergence of the MCMC method.

Asymptotic in a class of network models with an increasing sub-Gamma degree sequence

no code implementations2 Nov 2021 Jing Luo, Haoyu Wei, Xiaoyu Lei, Jiaxin Guo

For the differential privacy under the sub-Gamma noise, we derive the asymptotic properties of a class of network models with binary values with a general link function.

Smooth Tests for Normality in ANOVA

no code implementations10 Oct 2021 Haoyu Wei, Xiaojun Song

In this article, we propose an easy-to-use method to testing the normality assumption in ANOVA models by using smooth tests.

Test

Nonparametric Tests of Conditional Independence for Time Series

no code implementations10 Oct 2021 Xiaojun Song, Haoyu Wei

We propose consistent nonparametric tests of conditional independence for time series data.

Test Time Series +1

Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations

no code implementations7 Oct 2021 Shaomin Li, Haoyu Wei, Xiaoyu Lei

This paper studies the non-asymptotic merits of the double $\ell_1$-regularized for heterogeneous overdispersed count data via negative binomial regressions.

regression

Sharper Sub-Weibull Concentrations

no code implementations4 Feb 2021 Huiming Zhang, Haoyu Wei

Constant-specified and exponential concentration inequalities play an essential role in the finite-sample theory of machine learning and high-dimensional statistics area.

Sparse Density Estimation with Measurement Errors

no code implementations14 Nov 2019 Xiaowei Yang, Huiming Zhang, Haoyu Wei, Shouzheng Zhang

It shows that our method has potency and superiority of detecting the shape of multi-mode density compared with other conventional approaches.

Density Estimation

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