activity
20142026
most citedNonparametric maximum likelihood approach to multiple change-point problems

134 citations · 135 across the 11 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

stat.ME2024

Robust Mutual Fund Selection with False Discovery Rate Control

Hongfei Wang, Long Feng, Ping Zhao +1

In this article, we address the challenge of identifying skilled mutual funds among a large pool of candidates, utilizing the linear factor pricing model. Assuming observable facto…

stat.ME2024

Adaptive Sphericity Tests for High Dimensional Data

Ping Zhao, Wenwan Yang, Long Feng +1

In this paper, we investigate sphericity testing in high-dimensional settings, where existing methods primarily rely on sum-type test procedures that often underperform under spars…

stat.ME2024

Adaptive L-statistics for high dimensional test problem

Huifang Ma, Long Feng, Zhaojun Wang

In this study, we focus on applying L-statistics to the high-dimensional one-sample location test problem. Intuitively, an L-statistic with parameters tends to perform optimall…

stat.ME2024

Double Robust high dimensional alpha test for linear factor pricing model

Ping Zhao, Long Feng, Hongfei Wang +1

In this paper, we investigate alpha testing for high-dimensional linear factor pricing models. We propose a spatial sign-based max-type test to handle sparse alternative cases. Add…

stat.ME2024

Spatial Sign based Principal Component Analysis for High Dimensional Data

Ping Zhao, Hongfei Wang, Long Feng

This article focuses on the robust principal component analysis (PCA) of high-dimensional data with elliptical distributions. We investigate the PCA of the sample spatial-sign cova…

stat.ME2024

Adaptive Strategy of Testing Alphas in High Dimensional Linear Factor Pricing Models

Chenxi Zhao, Ping Zhao, Long Feng +1

In recent years, there has been considerable research on testing alphas in high-dimensional linear factor pricing models. In our study, we introduce a novel max-type test procedure…

stat.ME2024

Spatial-Sign based Maxsum Test for High Dimensional Location Parameters

Jixuan Liu, Long Feng, Ping Zhao +1

In this study, we explore a robust testing procedure for the high-dimensional location parameters testing problem. Initially, we introduce a spatial-sign based max-type test statis…

stat.ME2024★ 1 cited

Testing Alpha in High Dimensional Linear Factor Pricing Models with Dependent Observations

Huifang Ma, Long Feng, Zhaojun Wang +1

In this study, we introduce three distinct testing methods for testing alpha in high dimensional linear factor pricing model that deals with dependent data. The first method is a s…