Faculty

Institution

Unit

Venue

Xiaofeng Shao

Adjunct Professor

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Statistics

Xiaofeng Shao is currently serving as a College Of Liberal Arts & Sciences Adjunct Professor at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Xiaofeng Shao

University of Illinois Urbana-Champaign

Adjunct Professor

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statistics statistical methodology computational statistics applied statistics statistical inference time series high-dimensional statistics data science statistical models applied mathematics estimation theory high-dimensional method bootstrap resampling statistical hypothesis test mathematical statistics biostatistics financial time series analysis change detection shift detection multivariate analysis stochastic process asymptotic analysis sampling theory estimation statistic sample size machine learning research nonlinear time series change point econometric models spectral analysis semi-nonparametric estimation test statistics spectral theory econometric methods stationary time series fractional calculus spatio-temporal models spatial statistical analysis white noise dependent wild bootstrap block bootstrap block size wild binary segmentation nonlinear analysis nonlinear dynamics geoscientific model development fractional stochastics stochastic calculus parameter estimation statistical foundation dimensionality reduction distance correlation functional time series communicable diseases information fusion nonlinear science nonlinear phenomena infectious disease modelling epidemiological dynamic statistical signal processing volatility modeling tapered block bootstrap martingale difference correlation distance covariance new tests weak convergence virus research infection control earth system science statistical mechanics covid-19 pandemic virus epidemiology spectrum estimation signal detection gaussian process fractional-order systems spatial analysis statistical software environmental statistics statistical analysis geography functional data analysis

Notable Scholarly Works

Notable Federal Grants

Collaborators

A New Approach to Statistical Inference for Functional Time Series. Journal of Time Series Analysis (2025)

Hanjia GaoYi ZhangXiaofeng Shao

statistical hypothesis testfunctional data analysisstatistical methodologytime serieseconometricsmultivariate analysisnew test statisticsfunctional time seriescomputational statisticseconometric methodsapplied statisticssemi-nonparametric estimationfinancial time series analysisstatistical inferencefinancestatisticsstatistical models

Change-Point Detection for Object-Valued Time Series. Journal of Business and Economic Statistics (2025)

Yi ZhangChangbo ZhuXiaofeng Shao

signal processingshift detectiontemporal pattern recognitionchange-point detectionmachine learning researchcomputational statisticsdata sciencetime serieschange detection

Dimension-Agnostic Change Point Detection. Journal of Econometrics (2025)

Hanjia GaoRunmin WangXiaofeng Shao

information fusioncomputer scienceshift detectioncomputer visioncomputational statisticsdata sciencemachine visionspatial verificationimage analysispattern recognitionchange detection

Hypothesis Testing for a Functional Parameter via Self-Normalization. Journal of the American Statistical Association (2025)

Yi ZhangXiaofeng Shao

functional data analysisstatistical methodologyfunctional parameterparameter identificationcomputational statisticsdata normalizationstatistical inferenceapplied mathematicsstatisticsstatistical models

SNSEG: An R Package for Time Series Segmentation via Self-Normalization. The R Journal (2025)

Shubo SunZifeng ZhaoFeiyu JiangXiaofeng Shao

nonlinear time seriestime series segmentationtemporal pattern recognitionmachine learningstatistical softwarecomputational statisticsdata sciencedata normalizationapplied mathematicstime series

Statistical Inference for High-Dimensional Spectral Density Matrix. Journal of the American Statistical Association (2025)

Jinyuan ChangQing JiangTucker McElroyXiaofeng Shao

statistical methodologyspectral analysisstatistical theorycomputational statisticshigh-dimensional statisticshigh-dimensional methodstatistical inferencespectral theorybayesian analysisstatisticsstatistical models

Adaptive Testing for High-Dimensional Data. Journal of the American Statistical Association (2024)

Yangfan ZhangRunmin WangXiaofeng Shao

high-dimensional datastatistical methodologysimultaneous testingrobust statisticsadaptive testcomputational statisticsapplied statisticshigh-dimensional statisticshigh-dimensional methodstatistical inferenceapplied mathematicsstatisticsstatistical models

A Slicing‐Free Perspective to Sufficient Dimension Reduction: Selective Review and Recent Developments. International Statistical Review (2024)

Lu LiXiaofeng ShaoZhou Yu

statistical methodologysufficient dimension reductionsliced inverse regressiondimensionality reductionmachine learningmachine learning researchinverse problemsdata sciencecomputational statisticsapplied statisticshigh-dimensional methodstatistical inferencestatisticshigh-dimensional statistics

On Variance Estimation of Random Forests With Infinite-Order U-Statistics. Electronic Journal of Statistics (2024)

Tianning XuRuoqing ZhuXiaofeng Shao

unbiased variance estimatorsstatistical methodologyrandom foreststerm dominanceestimation statisticestimation theoryensemble algorithmsmachine learning researchcomputational statisticsdata scienceapplied statisticsstatistical inferencestatistics

SNSEG: An R Package for Time Series Segmentation via Self-Normalization. arXiv (Cornell University) (2024)

Sun, ShuboZhao, ZifengJiang, FeiyuShao, Xiaofeng

statistical methodologynonlinear time seriesshift detectiontime series segmentationtime serieschange detectionr package snsegcomputational statisticsdata scienceapplied statisticsr packagestatisticshigh-dimensional statistics

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Xiaofeng Shao

Adjunct Professor

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Statistics

Xiaofeng Shao is currently serving as a College Of Liberal Arts & Sciences Adjunct Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Xiaofeng Shao

University of Illinois Urbana-Champaign

Adjunct Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A New Approach to Statistical Inference for Functional Time Series. Journal of Time Series Analysis (2025)

Hanjia GaoYi ZhangXiaofeng Shao

Change-Point Detection for Object-Valued Time Series. Journal of Business and Economic Statistics (2025)

Yi ZhangChangbo ZhuXiaofeng Shao

signal processingshift detectiontemporal pattern recognitionchange-point detectionmachine learning researchcomputational statisticsdata sciencetime serieschange detection

Dimension-Agnostic Change Point Detection. Journal of Econometrics (2025)

Hanjia GaoRunmin WangXiaofeng Shao

information fusioncomputer scienceshift detectioncomputer visioncomputational statisticsdata sciencemachine visionspatial verificationimage analysispattern recognitionchange detection

Hypothesis Testing for a Functional Parameter via Self-Normalization. Journal of the American Statistical Association (2025)

Yi ZhangXiaofeng Shao

SNSEG: An R Package for Time Series Segmentation via Self-Normalization. The R Journal (2025)

Shubo SunZifeng ZhaoFeiyu JiangXiaofeng Shao

nonlinear time seriestime series segmentationtemporal pattern recognitionmachine learningstatistical softwarecomputational statisticsdata sciencedata normalizationapplied mathematicstime series

Statistical Inference for High-Dimensional Spectral Density Matrix. Journal of the American Statistical Association (2025)

Jinyuan ChangQing JiangTucker McElroyXiaofeng Shao

Adaptive Testing for High-Dimensional Data. Journal of the American Statistical Association (2024)

Yangfan ZhangRunmin WangXiaofeng Shao

A Slicing‐Free Perspective to Sufficient Dimension Reduction: Selective Review and Recent Developments. International Statistical Review (2024)

Lu LiXiaofeng ShaoZhou Yu

On Variance Estimation of Random Forests With Infinite-Order U-Statistics. Electronic Journal of Statistics (2024)

Tianning XuRuoqing ZhuXiaofeng Shao

SNSEG: An R Package for Time Series Segmentation via Self-Normalization. arXiv (Cornell University) (2024)

Sun, ShuboZhao, ZifengJiang, FeiyuShao, Xiaofeng

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high-dimensional statistics

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high-dimensional method

Kengo Kato

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