Faculty

Institution

Unit

Venue

Vladas Pipiras

Professor

University of North Carolina at Chapel Hill

Affiliations

College of Arts and Sciences

Statistics and Operations Research

Kenan-flagler Business School

Operations

Vladas Pipiras is currently serving as a College Of Arts And Sciences Professor at University of North Carolina At Chapel Hill.

Honors

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Experiences

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Education

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Vladas Pipiras

University of North Carolina at Chapel Hill

Professor

You can click a keyword to filter the displayed items

statistics applied mathematics data science probability theory time series stochastic process statistical theory statistical inference applied probability systems engineering statistical methodology ocean engineering fractional brownian motion long-range dependence applied statistics numerical simulations machine learning research fractional calculus marine engineering wavelet theory estimation theory mathematical statistics wavelets bayesian analysis multivariate analysis brownian motion integral representations fractals central limit theorems spectral theory bibliometrics regularization (mathematics) fourier analysis parameter estimation stochastic calculus fractal analysis computational statistics scientific computing behavioral research naval architecture statistical signal processing source apportionment nonlinear time series imprecise probabilities probabilistic analysis fractional-order systems periodic travelling wave reward systems information theory count time series rosenblatt process adaptive wavelet decompositions rank estimation local whittle estimation flow distributions heavy tails envelope peaks split-time method in-degree distribution long range dependence atmospheric research numerical mathematics statistical software self-organization internet traffic analysis array processing waveform analysis fourier expansion disaster research applied meteorology weather forecasting matrix theory statistical science probabilistic reasoning probabilistic system integration questions spatial analysis spatio-temporal stream processing big spatiotemporal data analytics high-dimensional time series high-dimensional statistics spatial science spatial fields big data physical systems

Notable Scholarly Works

Notable Federal Grants

Collaborators

Sampling Low-Fidelity Outputs for Estimation of High-Fidelity Density and Its Tails. SIAM/ASA Journal on Uncertainty Quantification (2025)

Minji KimKevin O’ConnorVladas PipirasThemistoklis Sapsis

low-fidelity outputssamplinghigh-fidelity densityuncertainty quantificationquantification

Benchmarking of Direct Counting Approaches. Ocean Engineering (2024)

Clève WandjiVladimir ShigunovVladas PipirasVadim Belenky

computer sciencesystems engineeringcombinatoricsmarine engineeringnumerical simulationscombinatorial optimizationengineeringperformance evaluationparallel performance evaluationparallel computingocean engineeringreliability engineering

Group Integrative Dynamic Factor Models With Application to Multiple Subject Brain Connectivity. Biometrical Journal (2024)

Younghoon KimZachary F. FisherVladas Pipiras

computational neurosciencesystems neuroscienceapplied mathematicsneuroscience

High-Dimensional Latent Gaussian Count Time Series: Concentration Results for Autocovariances and Applications. Electronic Journal of Statistics (2024)

Marie-Christine DükerRobert LundVladas Pipiras

latent modelingclusteringgaussian analysisstatisticsdata sciencestatistical inferenceapplied mathematicstime serieshigh-dimensional statistics

Minority Representation and Relative Ranking in Sampling Attributed Networks. Studies in computational intelligence (2024)

Nelson AntunesSayan BanerjeeShankar BhamidiVladas Pipiras

artificial intelligencecomputer scienceminority representationsamplingmachine learningcomputational intelligencedata scienceinformation retrievalnetwork analysisrelative rankingstatistics

Regularisation and Central Limit Theorems for an Inverse Problem in Network Sampling Applications. Journal of nonparametric statistics (2024)

Nelson AntunesGonçalo JacintoVladas Pipiras

network sampling applicationsregularization (mathematics)central limit theoremsinverse problemsstatistics

Representation, Ranking and Bias of Minorities in Sampling Attributed Networks. Social Network Analysis and Mining (2024)

Nelson AntunesSayan BanerjeeShankar BhamidiVladas Pipiras

social networksracial discriminationselection biasalgorithmic biassocial network analysisbiassamplingsocial sciencessocial data analysisnetwork analysisstatisticssampling (statistics)

Structured Estimation of Heterogeneous Time Series. Multivariate Behavioral Research (2024)

Zachary F. FisherYounghoon KimVladas PipirasChristopher CrawfordDaniel J. PetrieMichael D. HunterCharles F. Geier

structured estimationestimation theoryeconometricsmultivariate analysisbehavioral researchdata scienceheterogeneous time seriesbehavioral sciencestime series

Calibration of Low-Fidelity Ship Motion Programs Through Regressions of High-Fidelity Forces. Ocean Engineering (2023)

Minji KimVladas PipirasArthur M. ReedKenneth Weems

numerical simulationshigh-fidelity forcesmechanical engineeringocean engineeringnavigationnaval architecturemechanical modelingsystems engineeringcalibrationmarine engineeringengineeringship designdeformationship maneuveringshipper behaviorautomatic controlfluid dynamicsmechanicsmarine hydrodynamics

Detecting Changes in Correlation Networks With Application to Functional Connectivity of Fmri Data. Psychometrika (2023)

Changryong BaekBenjamin LeinwandKristen A. LindquistSeok-Oh JeongJoseph HopfingerKatheleen M. GatesVladas Pipiras

fmri datacorrelation networksfunctional connectivitydata scienceneuroimagingnetwork analysis

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5
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10 / page

Vladas Pipiras

Professor

University of North Carolina at Chapel Hill

Affiliations

College of Arts and Sciences

Statistics and Operations Research

Kenan-flagler Business School

Operations

Vladas Pipiras is currently serving as a College Of Arts And Sciences Professor at University of North Carolina At Chapel Hill.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Vladas Pipiras

University of North Carolina at Chapel Hill

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Sampling Low-Fidelity Outputs for Estimation of High-Fidelity Density and Its Tails. SIAM/ASA Journal on Uncertainty Quantification (2025)

Minji KimKevin O’ConnorVladas PipirasThemistoklis Sapsis

low-fidelity outputssamplinghigh-fidelity densityuncertainty quantificationquantification

Benchmarking of Direct Counting Approaches. Ocean Engineering (2024)

Clève WandjiVladimir ShigunovVladas PipirasVadim Belenky

Group Integrative Dynamic Factor Models With Application to Multiple Subject Brain Connectivity. Biometrical Journal (2024)

Younghoon KimZachary F. FisherVladas Pipiras

computational neurosciencesystems neuroscienceapplied mathematicsneuroscience

High-Dimensional Latent Gaussian Count Time Series: Concentration Results for Autocovariances and Applications. Electronic Journal of Statistics (2024)

Marie-Christine DükerRobert LundVladas Pipiras

latent modelingclusteringgaussian analysisstatisticsdata sciencestatistical inferenceapplied mathematicstime serieshigh-dimensional statistics

Minority Representation and Relative Ranking in Sampling Attributed Networks. Studies in computational intelligence (2024)

Nelson AntunesSayan BanerjeeShankar BhamidiVladas Pipiras

artificial intelligencecomputer scienceminority representationsamplingmachine learningcomputational intelligencedata scienceinformation retrievalnetwork analysisrelative rankingstatistics

Regularisation and Central Limit Theorems for an Inverse Problem in Network Sampling Applications. Journal of nonparametric statistics (2024)

Nelson AntunesGonçalo JacintoVladas Pipiras

network sampling applicationsregularization (mathematics)central limit theoremsinverse problemsstatistics

Representation, Ranking and Bias of Minorities in Sampling Attributed Networks. Social Network Analysis and Mining (2024)

Nelson AntunesSayan BanerjeeShankar BhamidiVladas Pipiras

social networksracial discriminationselection biasalgorithmic biassocial network analysisbiassamplingsocial sciencessocial data analysisnetwork analysisstatisticssampling (statistics)

Structured Estimation of Heterogeneous Time Series. Multivariate Behavioral Research (2024)

Zachary F. FisherYounghoon KimVladas PipirasChristopher CrawfordDaniel J. PetrieMichael D. HunterCharles F. Geier

structured estimationestimation theoryeconometricsmultivariate analysisbehavioral researchdata scienceheterogeneous time seriesbehavioral sciencestime series

Calibration of Low-Fidelity Ship Motion Programs Through Regressions of High-Fidelity Forces. Ocean Engineering (2023)

Minji KimVladas PipirasArthur M. ReedKenneth Weems

Detecting Changes in Correlation Networks With Application to Functional Connectivity of Fmri Data. Psychometrika (2023)

Changryong BaekBenjamin LeinwandKristen A. LindquistSeok-Oh JeongJoseph HopfingerKatheleen M. GatesVladas Pipiras

fmri datacorrelation networksfunctional connectivitydata scienceneuroimagingnetwork analysis

1
2
3
4
5
15
10 / page

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Similar Faculty Members

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geography

statistical analysis

Dipak Dey

Institution

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theoretical biology

biological computation

Gennady Samorodnitsky

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Cornell University

stochastic process

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intrinsic low dimensionality

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ecological modelling

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applied mathematics

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