Faculty

Institution

Unit

Venue

Anton Schick

Bartle Professor

Binghamton University

Affiliations

Natural Sciences & Mathematics

Department of Mathematics and Statistics (doms)

Harpur College of Arts and Sciences

Natural Sciences & Mathematics

Anton Schick is currently serving as a Mathematics And Statistics (Doms) Bartle Professor at Binghamton University.

Honors

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Experiences

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Education

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Anton Schick

Binghamton University

Bartle Professor

You can click a keyword to filter the displayed items

statistics estimation theory applied statistics probability theory statistical inference econometrics statistical methodology data science statistical theory efficient estimation applied mathematics biostatistics missing data bibliometrics nonparametric regression density estimators density estimation statistical hypothesis test regression models asymptotic analysis parameter estimation statistical science multivariate analysis semiparametric models linear functionals error distribution bayesian analysis regression testing statistical analysis regression analysis error distribution function plug-in estimators machine learning research mathematical optimization bayesian inference adaptive estimation error variance average processes asymptotic properties autocorrelation coefficient autoregressive errors efficient estimators computational statistics quantitative science studies information fusion censorship econometric methods curve fitting case analysis information theory statistical modeling psychometrics statistical averaging predictive modeling data-driven prediction state observer state estimation latent variable models model comparison levy process stochastic calculus empirical algorithmics financial time series analysis stochastic optimization empirical likelihood

Notable Scholarly Works

Notable Federal Grants

Collaborators

Empirical Likelihood for Martingale Differences. Journal of Time Series Analysis (2024)

Anton Schick

statistical inferencemachine learning researchjournalismmathematical optimizationaccountingempirical algorithmicsforecastinglatent variable modelsstochastic calculusempirical likelihoodlevy processmodel comparisonstochastic processquantitative science studiesmartingale differencestime seriesstatisticsasset pricinginformation fusion

Estimation for Markov Chains With Periodically Missing Observations. Journal of Time Series Analysis (2024)

Ursula U. MüllerAnton SchickWolfgang Wefelmeyer

bayesian inferencetime seriesestimation theorysurvival analysisfinancial time series analysisbayesian analysisstatisticsmissing data

Efficient Density Estimation in an Ar(1) Model. Electronic Journal of Statistics (2023)

Anton SchickWolfgang Wefelmeyer

density estimationstatisticsefficient density estimation

Asymptotic Normality of Quadratic Forms With Random Vectors of Increasing Dimension. Author eBooks (2018)

Hanxiang PengAnton Schick

asymptotic normalitymultivariate analysisquadratic formsstatisticsprobability theoryrandom vectors

Estimating the Error Distribution Function in Nonparametric Regression. arXiv (Cornell University) (2018)

Ursula U. MüllerAnton SchickWolfgang Wefelmeyer

econometricsestimation theoryerror distribution functionstatisticsnonparametric regressionmachine learningprobability theory

Estimation of the Error Distribution in a Varying Coefficient Regression Model. Journal of nonparametric statistics (2018)

Anton SchickYilin ZhuXiaojie Du

econometricsapplied statisticsestimation theoryerror distributionstatisticsparameter estimationdata sciencebibliometrics

Maximum Empirical Likelihood Estimation and Related Topics. Electronic Journal of Statistics (2018)

Hanxiang PengAnton Schick

bibliometricsrelated topicsapplied statisticsstatistics

Signed Rank Based Empirical Likelihood for the Symmetric Location Model. Statistics & Probability Letters (2018)

Xiaojie DuAnton Schick

empirical likelihoodstatisticssymmetric location modelbibliometricsprobability theory

Efficiency for Heteroscedastic Regression With Responses Missing at Random. Journal of Statistical Planning and Inference (2017)

Ursula U. MüllerAnton Schick

heteroscedastic regressionstatisticsstatistical methodologymissing data

Efficiency Transfer for Regression Models With Responses Missing at Random. Bernoulli (2017)

Ursula U. MüllerAnton Schick

efficiency transferstatisticsregression modelsmissing data

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Anton Schick

Bartle Professor

Binghamton University

Affiliations

Natural Sciences & Mathematics

Department of Mathematics and Statistics (doms)

Harpur College of Arts and Sciences

Natural Sciences & Mathematics

Anton Schick is currently serving as a Mathematics And Statistics (Doms) Bartle Professor at Binghamton 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

Anton Schick

Binghamton University

Bartle Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Empirical Likelihood for Martingale Differences. Journal of Time Series Analysis (2024)

Anton Schick

Estimation for Markov Chains With Periodically Missing Observations. Journal of Time Series Analysis (2024)

Ursula U. MüllerAnton SchickWolfgang Wefelmeyer

bayesian inferencetime seriesestimation theorysurvival analysisfinancial time series analysisbayesian analysisstatisticsmissing data

Efficient Density Estimation in an Ar(1) Model. Electronic Journal of Statistics (2023)

Anton SchickWolfgang Wefelmeyer

density estimationstatisticsefficient density estimation

Asymptotic Normality of Quadratic Forms With Random Vectors of Increasing Dimension. Author eBooks (2018)

Hanxiang PengAnton Schick

asymptotic normalitymultivariate analysisquadratic formsstatisticsprobability theoryrandom vectors

Estimating the Error Distribution Function in Nonparametric Regression. arXiv (Cornell University) (2018)

Ursula U. MüllerAnton SchickWolfgang Wefelmeyer

econometricsestimation theoryerror distribution functionstatisticsnonparametric regressionmachine learningprobability theory

Estimation of the Error Distribution in a Varying Coefficient Regression Model. Journal of nonparametric statistics (2018)

Anton SchickYilin ZhuXiaojie Du

econometricsapplied statisticsestimation theoryerror distributionstatisticsparameter estimationdata sciencebibliometrics

Maximum Empirical Likelihood Estimation and Related Topics. Electronic Journal of Statistics (2018)

Hanxiang PengAnton Schick

bibliometricsrelated topicsapplied statisticsstatistics

Signed Rank Based Empirical Likelihood for the Symmetric Location Model. Statistics & Probability Letters (2018)

Xiaojie DuAnton Schick

empirical likelihoodstatisticssymmetric location modelbibliometricsprobability theory

Efficiency for Heteroscedastic Regression With Responses Missing at Random. Journal of Statistical Planning and Inference (2017)

Ursula U. MüllerAnton Schick

heteroscedastic regressionstatisticsstatistical methodologymissing data

Efficiency Transfer for Regression Models With Responses Missing at Random. Bernoulli (2017)

Ursula U. MüllerAnton Schick

efficiency transferstatisticsregression modelsmissing data

1
2
3
4
5
11
10 / page

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Similar Faculty Members

Sam Efromovich

Institution

University of Texas at Dallas

data analytics

information theory

Michael Akritas

Institution

Pennsylvania State University

bayesian statistic

statistical model

Frits Ruymgaart

Institution

Texas Tech University

spectral theory

projection pursuit

Yanyuan Ma

Institution

Pennsylvania State University

statistical modeling

estimation statistic

Larry Goldstein

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statistical methodology

applied probability

Nitis Mukhopadhyay

Institution

University of Connecticut

sampling (statistics)

biostatistics

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reliability analysis

ecological modelling

Xuming He

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regression analysis

bayesian analysis

S Jammalamadaka

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University of California, Santa Barbara

statistics

applied statistics

Thomas Hettmansperger

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statistical model

statistical methodology