Faculty

Institution

Unit

Venue

Robert Kass

Professor

Carnegie Mellon University

Affiliations

Dietrich College of Humanities and Social Sciences

Statistics & Data Science

School of Computer Science

Machine Learning

Robert Kass is currently serving as a Dietrich College Of Humanities And Social Sciences Professor at Carnegie Mellon University.

Honors

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Experiences

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Education

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Robert Kass

Carnegie Mellon University

Professor

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statistics neuroscience statistical methodology applied statistics computational neuroscience statistical inference cognitive neuroscience systems neuroscience bayesian analysis applied mathematics biostatistics statistical theory computational statistics probability theory statistical science neurophysiology neuronal networks bayesian inference neurodynamics bayesian statistics neuroinformatics statistical software statistical foundation quantitative science studies mathematical statistics visual science estimation theory brain modeling statistical mechanics brain mapping theoretical biology approximate bayesian computation statistical analysis mathematical bioscience statistical physics eeg signal processing spectral theory regression analysis scientometrics markov chain monte carlo neural science vision research brain science curve fitting bayes factors approximate methods geophysical research density estimation descriptive statistics latent variable models motor cortex neuronal data asymptotic inference brain-computer interface time-varying dependency neural spike trains medicinal research experimental medicine parameter estimation bibliometrics aggregate function monte carlo sampling unconstrained optimization stochastic geometry asymptotic formula importance sampling ocular artifacts statistical issues covariance matrices hierarchical models approximate marginal densities variance component models wiley series combinatorial theory video processing poisson boundary demographic change motor control econometrics social science research applied cognitive psychology economic analysis microeconomics social stratification developmental processes thinking skills cognitive analysis economic theory econometric models urban affairs social psychology differential psychology econometric methods cognitive development population history quantitative psychology economic modelling psychodynamic statistical hypothesis test psychological bulletin psychological methods cognition demography statistical thinking experimental psychology cognitive studies population growth behavioral statistic

Notable Scholarly Works

Notable Federal Grants

Collaborators

Cross-Population Amplitude Coupling in High-Dimensional Oscillatory Neural Time Series. arXiv (2025)

physicsoscillation theoryneural computationnonlinear oscillationsnonlinear time seriesneuronal networksneurodynamicsmathematical biosciencenonlinear sciencenonlinear dynamicsscientific computingbio-inspired computationneural circuitscomputational neurosciencesystems neuroscienceapplied mathematicstheoretical biologytime serieswave nonlinearitynonlinear phenomenadynamical systemsneuroscience

Relative Timing and Coupling of Neural Population Bursts in Large-Scale Recordings From Multiple Neuron Populations. bioRxiv (2025)

cognitive neuroscienceneuronal networksneurodynamicsmathematical biosciencedevelopmental cognitive neurosciencebehavioural processneural engineeringcentral nervous systemneuropsychopharmacologybio-inspired computationneural circuitsneural recodingcomputational neurosciencesystems neurosciencebiostatisticsanimal cognitiontheoretical biologysystems biologyneuroinformaticsneuroscienceneurophysiologybrain circuitry

Relative Timing and Coupling of Neural Population Bursts in Large-Scale Recordings From Multiple Neuron Populations. bioRxiv (Cold Spring Harbor Laboratory) (2025)

Motolani OlarinreJoshua H. SiegleRobert E. Kass

neural mechanismslarge-scale recordingsneural circuitsneuroimagingrelative timingcomputational neurosciencemultiple neuron populationsneural computationneurodynamicsneural population burstsneuroscienceneurons

Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings. arXiv (Cornell University) (2024)

Liu, ZonggeBong, HeejongRen, ZhaoSmith, Matthew A.Kass, Robert E.

graph theoryhigh-dimensional neural recordingssimultaneous inferenceneural computationinferencemultiple matrix-variate graphsmachine learningneuroscience

A Biophysical and Statistical Modeling Paradigm for Connecting Neural Physiology and Function. Journal of Computational Neuroscience (2023)

Nathan G. GlasgowYu ChenAlon KorngreenRobert E. KassNathan N. Urban

neural physiologybiophysicscomputational neuroscienceneurosciencebiophysical modeling

A Conversation With Stephen M. Stigler. Statistical Science (2023)

Sam BehsetaRobert E. Kass

communicationstatistical theorybiostatisticsstatisticsstatistical science

Identification of Interacting Neural Populations: Methods and Statistical Considerations. Journal of Neurophysiology (2023)

Robert E. KassHeejong BongMotolani OlarinreQi XinKonrad N. Urban

statistical considerationssystems neuroscienceneural populationsneuroscienceneurophysiology

Identification of Interacting Neural Populations: Methods and Statistical Considerations. Journal of Neurophysiology (2023)

computational neuroscienceneuroscienceneural populationscomputational statisticsneurodynamics

Oscillating Neural Circuits: Phase, Amplitude, and the Complex Normal Distribution. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE (2023)

oscillation theoryneural mechanismsneuronal networksneurodynamicsdevelopmental cognitive neurosciencebehavioural processnonlinear sciencecentral nervous systemcognitive sciencenonlinear dynamicsneuroanatomyneural circuitscomputational neurosciencesystems neuroscienceanimal cognitionneuroethicshuman brainnonlinear phenomenaneuroscienceneurophysiologybrain circuitry

Oscillating Neural Circuits: Phase, Amplitude, and the Complex Normal Distribution. Canadian Journal of Statistics (2023)

Konrad N. UrbanHeejong BongJosue OrellanaRobert E. Kass

cognitive neuroscienceneurologyoscillation theoryelectrophysiologysystems neuroscienceneurodynamicsstatisticsnonlinear oscillationsneurosciencecomplex normal distribution

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Robert Kass

Professor

Carnegie Mellon University

Affiliations

Dietrich College of Humanities and Social Sciences

Statistics & Data Science

School of Computer Science

Machine Learning

Robert Kass is currently serving as a Dietrich College Of Humanities And Social Sciences Professor at Carnegie Mellon University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Robert Kass

Carnegie Mellon University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Cross-Population Amplitude Coupling in High-Dimensional Oscillatory Neural Time Series. arXiv (2025)

Relative Timing and Coupling of Neural Population Bursts in Large-Scale Recordings From Multiple Neuron Populations. bioRxiv (2025)

Relative Timing and Coupling of Neural Population Bursts in Large-Scale Recordings From Multiple Neuron Populations. bioRxiv (Cold Spring Harbor Laboratory) (2025)

Motolani OlarinreJoshua H. SiegleRobert E. Kass

Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings. arXiv (Cornell University) (2024)

Liu, ZonggeBong, HeejongRen, ZhaoSmith, Matthew A.Kass, Robert E.

graph theoryhigh-dimensional neural recordingssimultaneous inferenceneural computationinferencemultiple matrix-variate graphsmachine learningneuroscience

A Biophysical and Statistical Modeling Paradigm for Connecting Neural Physiology and Function. Journal of Computational Neuroscience (2023)

Nathan G. GlasgowYu ChenAlon KorngreenRobert E. KassNathan N. Urban

neural physiologybiophysicscomputational neuroscienceneurosciencebiophysical modeling

A Conversation With Stephen M. Stigler. Statistical Science (2023)

Sam BehsetaRobert E. Kass

communicationstatistical theorybiostatisticsstatisticsstatistical science

Identification of Interacting Neural Populations: Methods and Statistical Considerations. Journal of Neurophysiology (2023)

Robert E. KassHeejong BongMotolani OlarinreQi XinKonrad N. Urban

statistical considerationssystems neuroscienceneural populationsneuroscienceneurophysiology

Identification of Interacting Neural Populations: Methods and Statistical Considerations. Journal of Neurophysiology (2023)

computational neuroscienceneuroscienceneural populationscomputational statisticsneurodynamics

Oscillating Neural Circuits: Phase, Amplitude, and the Complex Normal Distribution. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE (2023)

Oscillating Neural Circuits: Phase, Amplitude, and the Complex Normal Distribution. Canadian Journal of Statistics (2023)

Konrad N. UrbanHeejong BongJosue OrellanaRobert E. Kass

cognitive neuroscienceneurologyoscillation theoryelectrophysiologysystems neuroscienceneurodynamicsstatisticsnonlinear oscillationsneurosciencecomplex normal distribution

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