Faculty

Institution

Unit

Venue

Soumendra Lahiri

Professor of Statistics & Data Science Stanley A Sawyer Professor in Mathematics and Statistics

Washington University in St. Louis

Affiliations

Arts & Sciences

Department of Statistics and Data Science

Soumendra Lahiri is currently serving as an Arts & Sciences Professor of Statistics & Data Science Stanley A Sawyer Professor in Mathematics and Statistics at Washington University In St. Louis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Soumendra Lahiri

Washington University in St. Louis

Professor of Statistics & Data Science Stanley A Sawyer Professor in Mathematics and Statistics

You can click a keyword to filter the displayed items

statistics statistical methodology statistical inference applied statistics statistical theory applied mathematics data science time series bootstrap resampling biostatistics high-dimensional statistics inference computational statistics machine learning research estimation theory probability theory econometrics spatial statistical analysis multivariate analysis block bootstrap spatial data mathematical statistics high dimensions mathematical optimization bibliometrics geospatial data statistical averaging lasso estimators long-range dependence asymptotic distribution numerical simulations quantitative science studies scientific data geographical information science measurement theory statistical science spatial uncertainty block bootstrap methods bootstrap methods sampling window method spatial process variance estimation weak dependence berry-esseen theorem perturbation bootstrap smooth block bootstrap dependent data numerical mathematics information visualization applied geography decision science forensic genetics heredity molecular psychiatry global networks measure theory trend analysis sampling (statistics) stochastic calculus theoretical prediction parameter estimation econodynamics particulate matter urban environments spatial science deterioration modeling kernel methods bayesian econometrics econometric methods data consistency geographic analytics predictive modeling quality control satellite meteorology crowdsourcing higher dimensional problems uncertainty quantification high-dimensional method

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bootstrap-Based Method for Testing Similarity of Matched Networks. Journal of Computational and Graphical Statistics (2025)

network sciencenetwork analysisglobal networksmachine learning researchgraph matchingdata miningcomputer sciencecomputational statisticsmatched networksdata scienceknowledge discovery

Bot Identification in Social Media. (2025)

online informationsocial computingsocial mediacomputer sciencebot identificationbotnet detectionsocial medium mininginformation forensics

Challenges and Opportunities for Statistics in the Era of Data Science. Harvard Data Science Review (2025)

Claudia KirchSoumendra LahiriHarald BinderWerner BrannathIvor CribbenHolger DettePhilipp DoeblerOliver FengAxel GandySonja GrevenBarbara HammerStefan HarmelingThomas HotzGöran KauermannJoscha KrauseGeorg KremplAlicia Nieto-ReyesOstap OkhrinHernando OmbaoFlorian PeinMichal PeštaDimitris PolitisLi-Xuan QinTom RainforthHolger RauhutHenry ReeveDavid SalinasJohannes Schmidt-HieberClayton ScottJohan SegersMyra SpiliopoulouAdalbert WilhelmInes WilmsYi YuJohannes Lederer

applied statisticsdata sciencedata-driven sciencestatistics

Higher Order Accurate Symmetric Bootstrap Confidence Intervals in High Dimensional Penalized Regression. Journal of the American Statistical Association (2025)

model selectionapplied mathematicsbootstrap resamplingstatistical methodologycomputational statisticsstatistical inferencemultivariate approximationhigh-dimensional methodhigh-dimensional statisticsapplied statisticsstatistics

On Statistical Properties of a Veracity Scoring Method for Spatial Data. Technometrics (2025)

Arnab ChakrabortySoumendra N. Lahiri

spatial statistical analysisstatisticsdata sciencespatial dataspatial analysisstatistical properties

Second‐Order Properties of the Convolved Subsampling Method for Time Series. Journal of Time Series Analysis (2025)

approximation theoryapplied mathematicssampling (signal processing)signal reconstructiondigital signal processingtime seriesfiltering techniquesignal processingstatistics

THANOS: A Predictive Model of Electoral Campaigns Using Twitter Data and Opinion Polls. Data Science in Science (2025)

electionspoliticspolitical scienceelectronic votingpredictive modelelection forecastingpublic opinionpolitical analysisopinion pollspolitical communicationpolitical behaviorjournalism

The Central Limit Theorem in High-Dimensions and Its Applications. (2025)

Nilanjan ChakrabortyS. N. Lahiri

central limit theoremmarkov chain monte carloapplied mathematics

Fast Parameter Estimation of Generalized Extreme Value Distribution Using Neural Networks. Environmetrics (2024)

Sweta RaiAlexis HoffmanSoumendra LahiriDouglas W. NychkaStephan R. SainSoutir Bandyopadhyay

applied mathematicsneural networksmachine learningdata scienceenvironmental science

Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems. Lecture notes in computer science (2024)

Yanjie ZhongJiaqi LiSoumendra Lahiri

stochastic recursive gradientprobabilistic guaranteescomputer science

1
2
3
4
5
13
10 / page

Soumendra Lahiri

Professor of Statistics & Data Science Stanley A Sawyer Professor in Mathematics and Statistics

Washington University in St. Louis

Affiliations

Arts & Sciences

Department of Statistics and Data Science

Soumendra Lahiri is currently serving as an Arts & Sciences Professor of Statistics & Data Science Stanley A Sawyer Professor in Mathematics and Statistics at Washington University In St. Louis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Soumendra Lahiri

Washington University in St. Louis

Professor of Statistics & Data Science Stanley A Sawyer Professor in Mathematics and Statistics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bootstrap-Based Method for Testing Similarity of Matched Networks. Journal of Computational and Graphical Statistics (2025)

network sciencenetwork analysisglobal networksmachine learning researchgraph matchingdata miningcomputer sciencecomputational statisticsmatched networksdata scienceknowledge discovery

Bot Identification in Social Media. (2025)

online informationsocial computingsocial mediacomputer sciencebot identificationbotnet detectionsocial medium mininginformation forensics

Challenges and Opportunities for Statistics in the Era of Data Science. Harvard Data Science Review (2025)

applied statisticsdata sciencedata-driven sciencestatistics

Higher Order Accurate Symmetric Bootstrap Confidence Intervals in High Dimensional Penalized Regression. Journal of the American Statistical Association (2025)

On Statistical Properties of a Veracity Scoring Method for Spatial Data. Technometrics (2025)

Arnab ChakrabortySoumendra N. Lahiri

spatial statistical analysisstatisticsdata sciencespatial dataspatial analysisstatistical properties

Second‐Order Properties of the Convolved Subsampling Method for Time Series. Journal of Time Series Analysis (2025)

approximation theoryapplied mathematicssampling (signal processing)signal reconstructiondigital signal processingtime seriesfiltering techniquesignal processingstatistics

THANOS: A Predictive Model of Electoral Campaigns Using Twitter Data and Opinion Polls. Data Science in Science (2025)

electionspoliticspolitical scienceelectronic votingpredictive modelelection forecastingpublic opinionpolitical analysisopinion pollspolitical communicationpolitical behaviorjournalism

The Central Limit Theorem in High-Dimensions and Its Applications. (2025)

Nilanjan ChakrabortyS. N. Lahiri

central limit theoremmarkov chain monte carloapplied mathematics

Fast Parameter Estimation of Generalized Extreme Value Distribution Using Neural Networks. Environmetrics (2024)

Sweta RaiAlexis HoffmanSoumendra LahiriDouglas W. NychkaStephan R. SainSoutir Bandyopadhyay

applied mathematicsneural networksmachine learningdata scienceenvironmental science

Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems. Lecture notes in computer science (2024)

Yanjie ZhongJiaqi LiSoumendra Lahiri

stochastic recursive gradientprobabilistic guaranteescomputer science

1
2
3
4
5
13
10 / page

Similar Faculty Members

Dale Zimmerman

Institution

University of Iowa

model analysis

general system

Jiming Jiang

Institution

University of California, Davis

statistical modeling

biomedical informatics

Xiaofeng Shao

Institution

University of Illinois Urbana-Champaign

geography

statistical analysis

Mathias Drton

Institution

University of Chicago

statistical software

mathematical model

Nitis Mukhopadhyay

Institution

University of Connecticut

sampling (statistics)

biostatistics

Frits Ruymgaart

Institution

Texas Tech University

spectral theory

projection pursuit

Jeffrey Hart

Institution

Texas A&M University

statistical methodology

bayesian analysis

Joseph P. Romano

Institution

Stanford University

statistics

applied statistics

Cosma Shalizi

Institution

Carnegie Mellon University

general systems

mathematics education

Dipak Dey

Institution

University of Connecticut

theoretical biology

biological computation

Similar Faculty Members

Dale Zimmerman

Institution

University of Iowa

model analysis

general system

Jiming Jiang

Institution

University of California, Davis

statistical modeling

biomedical informatics

Xiaofeng Shao

Institution

University of Illinois Urbana-Champaign

geography

statistical analysis

Mathias Drton

Institution

University of Chicago

statistical software

mathematical model

Nitis Mukhopadhyay

Institution

University of Connecticut

sampling (statistics)

biostatistics

Frits Ruymgaart

Institution

Texas Tech University

spectral theory

projection pursuit

Jeffrey Hart

Institution

Texas A&M University

statistical methodology

bayesian analysis

Joseph P. Romano

Institution

Stanford University

statistics

applied statistics

Cosma Shalizi

Institution

Carnegie Mellon University

general systems

mathematics education

Dipak Dey

Institution

University of Connecticut

theoretical biology

biological computation