Faculty

Institution

Unit

Venue

Ganggang Xu

Assoc Professor

University of Miami

Affiliations

Miami Herbert Business School

Management Science

Marketing

Ganggang Xu is currently serving as a Management Science Assoc Professor at University of Miami.

Honors

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Experiences

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Education

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Ganggang Xu

University of Miami

Assoc Professor

You can click a keyword to filter the displayed items

statistics applied statistics data science applied mathematics machine learning statistical inference statistical methodology computational statistics econometrics bayesian analysis statistical theory kernel methods radiology medical imaging estimation theory logistic regression asymptotic optimality vascular biology neuroradiology scientific computing bibliometrics spatio-temporal models supervised learning mathematical statistics integrable probability likelihood inference diffusion kurtosis imaging generalized cross-validation personalized medicine cardiovascular disease respiratory medicine scientific data clinical biochemistry medicinal research intensive care vascular surgery stroke rehabilitation scientometrics economic research statistical physics clinical evidence disease detection glucocorticoids disease risk assessment disease assessment case studies brain function neurovascular diseases benchmark studies cerebrovascular disease magnetic resonance imaging spatial statistical analysis bayesian hierarchical modeling financial econometrics energy analysis energy consumption power consumption spatial economics demand response interobserver agreement error correction regularization (mathematics) gaussian process modeling method glucocorticoid-responsive serum biomarkers duchenne muscular dystrophy leave-subject-out cross-validation efficient computation information criterion large datasets auxiliary lattice collateral grade spatial extremes tukey max-stable processes bayesian hierarchical models borrowing index functional data analysis model selection geographical information science spatial analysis

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Central Limit Theorem for a Sequence of Conditionally Centered Random Fields. Bernoulli (2025)

integrable probabilityhigh-dimensional statisticsasymptotic analysisrandom fieldsapplied probabilitystochastic processcentral limit theoremprobability theoryapplied mathematicsmathematicsmathematical statistics

Composite Likelihood Inference for Space-Time Point Processes. Biometrics (2025)

statistical inferencestatisticsstatistical methodologybayesian analysisgaussian processstatistical modelscomposite likelihood inferencecomputational statistics

Generalized Reduced-Rank Regression With Homogeneity Pursuit. arXiv (Cornell University) (2025)

statistical inferencestatisticshigh-dimensional statisticsstatistical methodologyhigh-dimensional methodlow-rank approximationapplied mathematicsreduced-rank regressionmathematical optimizationcomputational statistics

XGBOOSTPP: Tree-Based Estimation of Point Process Intensity Functions. Journal of Computational and Graphical Statistics (2025)

computational sciencecomputer scienceinformation fusionscientific computingdata sciencepoint cloudscomputer visionmachine visionpoint cloud processingtree-based estimationcomputational statistics

A Central Limit Theorem for a Sequence of Conditionally Centered and -Mixing Random Fields. Bernoulli (2024)

integrable probabilitystatisticshigh-dimensional statisticsstatistical mechanicsasymptotic analysisrandom fieldsapplied probabilitystochastic processcentral limit theoremprobability theorystatistical physicsapplied mathematicsmathematicsmathematical statistics

Goodness-Of-Fit Test for Case-Control Point Pattern Data With an Application to Opioid Overdose. (2024)

opioid overdosedrug assessmentstatistical hypothesis teststatisticsstatistical methodologybiostatisticsaddiction medicinegoodness-of-fit testdrug overdosestatistical modelssubstance useapplied statisticsopioid use disorder

Gradient Boosting Estimation for Intensities of Spatial Point Process. Journal of Computational and Graphical Statistics (2024)

pattern recognitionspatio-temporal modelsspatial analysismachine learninginformation fusionspatial verificationmachine visionlocalizationgradient boosting estimationmachine learning researchapplied mathematicscomputational statistics

Group Network Multivariate Garch Models. (2024)

network sciencenetwork analysisstatistical methodologynetwork dynamicsnetwork modelsapplied mathematicsglobal networks

It is All About the Demand Cdf: Data-Driven Periodic Review Inventory Control. SSRN Electronic Journal (2024)

Xu GanggangCong Shi

demand forecastingcomputer scienceinventory managementinventory controldemand cdfdata sciencesystems engineeringdemand managementdata managementsupply chain management

Multi-Relational Network Autoregression Model With Latent Group Structures. arXiv (Cornell University) (2024)

Ren, YimengZhu, XueningXu, GanggangMa, Yanyuan

network sciencenetwork analysiscomputer sciencelatent group structuresmachine learningdata sciencenetwork models

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Ganggang Xu

Assoc Professor

University of Miami

Affiliations

Miami Herbert Business School

Management Science

Marketing

Ganggang Xu is currently serving as a Management Science Assoc Professor at University of Miami.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ganggang Xu

University of Miami

Assoc Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Central Limit Theorem for a Sequence of Conditionally Centered Random Fields. Bernoulli (2025)

Composite Likelihood Inference for Space-Time Point Processes. Biometrics (2025)

statistical inferencestatisticsstatistical methodologybayesian analysisgaussian processstatistical modelscomposite likelihood inferencecomputational statistics

Generalized Reduced-Rank Regression With Homogeneity Pursuit. arXiv (Cornell University) (2025)

XGBOOSTPP: Tree-Based Estimation of Point Process Intensity Functions. Journal of Computational and Graphical Statistics (2025)

computational sciencecomputer scienceinformation fusionscientific computingdata sciencepoint cloudscomputer visionmachine visionpoint cloud processingtree-based estimationcomputational statistics

A Central Limit Theorem for a Sequence of Conditionally Centered and -Mixing Random Fields. Bernoulli (2024)

Goodness-Of-Fit Test for Case-Control Point Pattern Data With an Application to Opioid Overdose. (2024)

Gradient Boosting Estimation for Intensities of Spatial Point Process. Journal of Computational and Graphical Statistics (2024)

Group Network Multivariate Garch Models. (2024)

network sciencenetwork analysisstatistical methodologynetwork dynamicsnetwork modelsapplied mathematicsglobal networks

It is All About the Demand Cdf: Data-Driven Periodic Review Inventory Control. SSRN Electronic Journal (2024)

Xu GanggangCong Shi

demand forecastingcomputer scienceinventory managementinventory controldemand cdfdata sciencesystems engineeringdemand managementdata managementsupply chain management

Multi-Relational Network Autoregression Model With Latent Group Structures. arXiv (Cornell University) (2024)

Ren, YimengZhu, XueningXu, GanggangMa, Yanyuan

network sciencenetwork analysiscomputer sciencelatent group structuresmachine learningdata sciencenetwork models

1
2
3
4
5
6
7
10 / page

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Similar Faculty Members

Vladas Pipiras

Institution

University of North Carolina at Chapel Hill

big data

spatio-temporal stream processing

Arun Kuchibhotla

Institution

Carnegie Mellon University

semi-nonparametric estimation

estimation statistic

Soumendra Lahiri

Institution

Washington University in St. Louis

resampling methods

high-dimensional method

Shujie Ma

Institution

University of California, Riverside

deep learning for big data

causal inference

Marten H. Wegkamp

Institution

Cornell University

high-dimensional statistics

high dimensional statistics

Feng Liang

Institution

University of Illinois Urbana-Champaign

statistical inference

data mining

Aaditya Ramdas

Institution

Carnegie Mellon University

general systems

digital image processing

David Matteson

Institution

Cornell University

geographical information science

spatial analysis

Florentina Bunea

Institution

Cornell University

mixture modeling

latent space estimation

Mathias Drton

Institution

University of Chicago

statistical software

mathematical model