Faculty

Institution

Unit

Venue

Berman, Simeon M

Professor

New York University

Affiliations

Arts & Science

Mathematics

Courant Institute of Mathematical Sciences

Mathematics

Berman, Simeon M is currently serving as an Arts & Science Professor at New York University.

Honors

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Experiences

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Education

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Berman, Simeon M

New York University

Professor

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stochastic process applied mathematics statistics probability theory gaussian process mathematics applied probability pure mathematics biostatistics stochastic calculus stochastic systems time series ergodic theory statistical theory stochastic phenomena mathematical optimization bayesian analysis local times stochastic dynamical systems stationary gaussian processes hiv visual science diffusion process local nondeterminism nonlinear science machine learning research gaussian analysis probabilistic analysis multivariate analysis stochastic geometry markov processes extreme sojourns general systems spectral theory statistical methodology cybernetics nonlinear dynamics mathematical statistics physical distribution probabilistic system anomalous diffusion biocybernetics vision research visual function extreme statistic markov decision process source apportionment stationary processes characteristic functions high level sojourns nonconstant variance spectral conditions maximum variance hiv infection function spaces computational statistics material chemistry analytical atomic spectrometry membrane science numerical simulations high-dimensional chaos fourier expansion parameter identification mixture distribution finite fields collapse behaviour transducer principle latent variable models theoretical analysis markov chain monte carlo clinical data medical statistics continuous distributions asymptotic independence low level crossings high levels

Notable Scholarly Works

Notable Federal Grants

Collaborators

Rank Inversions in the Scoring of Examinations Consisting of Several Subtests. Journal of Multivariate Analysis (2015)

Simeon M. Berman

statisticsmultivariate analysiseducational assessmentseveral subtestsrank inversions

Probabilistic Analysis of the Efficacy of Periodic Testing of Employees. Journal of Applied Probability (2010)

Simeon M. Berman

probability theorystatisticsperiodic testingapplied probability

Legendre Polynomial Kernel Estimation of a Density Function With Censored Observations and an Application to Clinical Trials. Communications on Pure and Applied Mathematics (2006)

Simeon M. Berman

statisticsstatistical theorydensity estimationpure mathematicsbiostatisticsdensity functionmachine learning researchapplied mathematicscensored observationskernel methods

Theory Methods: Approximate Identifiability, Moments and Censored Data. Australian & New Zealand Journal of Statistics (2001)

Simeon M. Berman

statistical inferencestatisticsstatistical theoryestimation theorydata scienceapproximate identifiabilityapplied statistics

A Stochastic-Covariate Failure Model With an Application to Case-Control Analysis. Mathematical Biosciences (2000)

Simeon M. Berman

reliability predictionreliability modellingstochastic-covariate failure modelsurvival analysismathematical biosciencesystemic riskcase-control analysispublic healthmathematical biologyapplied mathematicsreliability engineering

Parametric Estimation of Hazard Functions With Stochastic Covariate Processes. (1997)

Simeon M. BermanHalina Frydman

statisticshazard functionsstochastic covariate processesdata scienceeconometricsparametric estimation

Distributions Associated With Markov Processes With Killing. Communications in Statistics Stochastic Models (1996)

Simeon M. BermanFrydman Halina

statisticscommunicationapplied probabilitysurvival analysisstochastic processprobability theoryapplied mathematicsmarkov processes

A Bivariate Markov Process With Diffusion and Discrete Components. Communications in Statistics Stochastic Models (1994)

Simeon M. Berman

statisticsbivariate markov processstochastic processdiscrete componentsdiffusiondiffusion process

A Class of Laplace Transforms Arising in a Diffusion Problem. Communications on Pure and Applied Mathematics (1994)

S. M. Berman

partial differential equationsdiffusion problempure mathematicsintegral transformsdiffusionapplied mathematicsmathematicsnumerical analysismathematical optimizationlaplace transforms

A New Class of Random Fields and Their Extreme Values. Springer eBooks (1994)

Simeon M. Berman

extreme valuesrandom fields

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10 / page

Berman, Simeon M

Professor

New York University

Affiliations

Arts & Science

Mathematics

Courant Institute of Mathematical Sciences

Mathematics

Berman, Simeon M is currently serving as an Arts & Science Professor at New York 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

Berman, Simeon M

New York University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Rank Inversions in the Scoring of Examinations Consisting of Several Subtests. Journal of Multivariate Analysis (2015)

Simeon M. Berman

statisticsmultivariate analysiseducational assessmentseveral subtestsrank inversions

Probabilistic Analysis of the Efficacy of Periodic Testing of Employees. Journal of Applied Probability (2010)

Simeon M. Berman

probability theorystatisticsperiodic testingapplied probability

Legendre Polynomial Kernel Estimation of a Density Function With Censored Observations and an Application to Clinical Trials. Communications on Pure and Applied Mathematics (2006)

Simeon M. Berman

statisticsstatistical theorydensity estimationpure mathematicsbiostatisticsdensity functionmachine learning researchapplied mathematicscensored observationskernel methods

Theory Methods: Approximate Identifiability, Moments and Censored Data. Australian & New Zealand Journal of Statistics (2001)

Simeon M. Berman

statistical inferencestatisticsstatistical theoryestimation theorydata scienceapproximate identifiabilityapplied statistics

A Stochastic-Covariate Failure Model With an Application to Case-Control Analysis. Mathematical Biosciences (2000)

Simeon M. Berman

Parametric Estimation of Hazard Functions With Stochastic Covariate Processes. (1997)

Simeon M. BermanHalina Frydman

statisticshazard functionsstochastic covariate processesdata scienceeconometricsparametric estimation

Distributions Associated With Markov Processes With Killing. Communications in Statistics Stochastic Models (1996)

Simeon M. BermanFrydman Halina

statisticscommunicationapplied probabilitysurvival analysisstochastic processprobability theoryapplied mathematicsmarkov processes

A Bivariate Markov Process With Diffusion and Discrete Components. Communications in Statistics Stochastic Models (1994)

Simeon M. Berman

statisticsbivariate markov processstochastic processdiscrete componentsdiffusiondiffusion process

A Class of Laplace Transforms Arising in a Diffusion Problem. Communications on Pure and Applied Mathematics (1994)

S. M. Berman

partial differential equationsdiffusion problempure mathematicsintegral transformsdiffusionapplied mathematicsmathematicsnumerical analysismathematical optimizationlaplace transforms

A New Class of Random Fields and Their Extreme Values. Springer eBooks (1994)

Simeon M. Berman

extreme valuesrandom fields

1
2
3
4
5
8
10 / page

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Similar Faculty Members

Bakhtin, Yuri

Institution

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stochastic process

probability theory

Peter Baxendale

Institution

University of Southern California

statistical mechanic

stochastic bifurcation theory

Edward J. Allen

Institution

Texas Tech University

applied mathematical modelling

stochastic process

Sergey Lototsky

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stochastic process

general system

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statistical physic

Leonid Piterbarg

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stochastic process

Janos Englander

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statistical mechanic

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probability theory

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stochastic process

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