Faculty

Institution

Unit

Venue

Mathias Drton

Former Associate Professor

University of Chicago

Affiliations

Statistics, Department of

Mathias Drton is currently serving as a Statistics, Department Of Former Associate Professor at University of Chicago.

Honors

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Experiences

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Education

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Mathias Drton

University of Chicago

Former Associate Professor

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statistics machine learning applied mathematics data science applied statistics statistical inference biostatistics statistical methodology bibliometrics probability theory statistical theory econometrics model selection bayesian inference bayesian analysis bioinformatics graphical models information theory causal discovery computational statistics mathematical optimization model analysis machine learning research causality causal models causal reasoning estimation theory matrix analysis robust graphical modeling gaussian graphical models algebraic statistics maximum likelihood estimation genome biology computational intelligence gaussian analysis multivariate analysis graphical analysis pc algorithm center-outward ranks rank correlations generic identifiability half-trek criterion wishart matrices likelihood equations linear regression group lasso exact block-wise optimization bergsma-dassios sign covariance theoretical biology knowledge discovery logic in computer science information visualization mathematical programming computational optimization numerical algorithms scientific computing medicinal research sequence analysis computational genomics statistical science multimorbidity model framework hidden markov model cliometrics algorithmic information theory symbolic computation computability theory symbolic machine learning robust statistics biological network visualization network visualizations mutagenesis derivative-free optimization unconstrained optimization nonlinear optimization continuous optimization mathematics statistical software

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Distribution-Free Tests of Multivariate Independence Based on Center-Outward Quadrant, Spearman, Kendall, and Van Der Waerden Statistics. Bernoulli (2024)

Hongjian ShiMathias DrtonMarc HallinFang Han

center-outward quadrantdistribution-free testsmultivariate independencestatistics

High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data. Electronic Journal of Statistics (2024)

Konstantin GöblerMathias DrtonSach MukherjeeAnne Miloschewski

data sciencearbitrary mixed datahigh-dimensional statisticsstatistics

Identifiability of Homoscedastic Linear Structural Equation Models Using Algebraic Matroids. Advances in Applied Mathematics (2024)

Mathias DrtonBenjamin HolleringJun Wu

numerical analysisapplied mathematicsmodel analysismachine learningalgebraic matroidsstatistics

On Azadkia–Chatterjee’s Conditional Dependence Coefficient. Bernoulli (2024)

Hongjian ShiMathias DrtonFang Han

particle physicsconditional dependence coefficientapplied mathematics

Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices. Algebraic Statistics (2024)

Mathias DrtonAlexandros GrosdosAndrew McCormack

matrix theoryapplied mathematicsdata sciencenumerical linear algebrabiometricskronecker covariance matricesmatrix analysis

Testing Many Constraints in Possibly Irregular Models Using Incomplete U -Statistics. Journal of the Royal Statistical Society Series B (Statistical Methodology) (2024)

Nils SturmaMathias DrtonDennis Leung

constraint solvingstatistical methodologystatistical inferencemodel teststatistical hypothesis teststatistics

A Discussion of “a Note on Universal Inference” by Tse and Davison. Stat (2023)

Asher SpectorEmmanuel CandèsLihua Lei

applied statisticsuniversal inferencestatistics

Algebraic Structures in Statistical Methodology. Oberwolfach Reports (2023)

Mathias DrtonThomas KahleSeth SullivantCaroline Uhler

statistical methodologymachine learningstatistics

Assessable and Interpretable Sensitivity Analysis in the Pattern Graph Framework for Nonignorable Missingness Mechanisms. Statistics in Medicine (2023)

Alireza ZamanianNarges AhmidiMathias Drton

medicineevidence-based medicinestatistical methodologymedicinal researchbiostatisticspattern graph frameworksensitivity analysisstatistical inferenceinterpretable sensitivity analysisnonignorable missingness mechanismsapplied statisticssystematicsstatistics

Causal Structural Learning via Local Graphs. SIAM Journal on Mathematics of Data Science (2023)

Wenyu ChenMathias DrtonAli Shojaie

bayesian inferenceapplied mathematicsbayesian analysiscomputer sciencecausal inferenceprobability theorydata sciencestatistical inferencegraph theory

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Mathias Drton

Former Associate Professor

University of Chicago

Affiliations

Statistics, Department of

Mathias Drton is currently serving as a Statistics, Department Of Former Associate Professor at University of Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mathias Drton

University of Chicago

Former Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Distribution-Free Tests of Multivariate Independence Based on Center-Outward Quadrant, Spearman, Kendall, and Van Der Waerden Statistics. Bernoulli (2024)

Hongjian ShiMathias DrtonMarc HallinFang Han

center-outward quadrantdistribution-free testsmultivariate independencestatistics

High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data. Electronic Journal of Statistics (2024)

Konstantin GöblerMathias DrtonSach MukherjeeAnne Miloschewski

data sciencearbitrary mixed datahigh-dimensional statisticsstatistics

Identifiability of Homoscedastic Linear Structural Equation Models Using Algebraic Matroids. Advances in Applied Mathematics (2024)

Mathias DrtonBenjamin HolleringJun Wu

numerical analysisapplied mathematicsmodel analysismachine learningalgebraic matroidsstatistics

On Azadkia–Chatterjee’s Conditional Dependence Coefficient. Bernoulli (2024)

Hongjian ShiMathias DrtonFang Han

particle physicsconditional dependence coefficientapplied mathematics

Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices. Algebraic Statistics (2024)

Mathias DrtonAlexandros GrosdosAndrew McCormack

matrix theoryapplied mathematicsdata sciencenumerical linear algebrabiometricskronecker covariance matricesmatrix analysis

Testing Many Constraints in Possibly Irregular Models Using Incomplete U -Statistics. Journal of the Royal Statistical Society Series B (Statistical Methodology) (2024)

Nils SturmaMathias DrtonDennis Leung

constraint solvingstatistical methodologystatistical inferencemodel teststatistical hypothesis teststatistics

A Discussion of “a Note on Universal Inference” by Tse and Davison. Stat (2023)

Asher SpectorEmmanuel CandèsLihua Lei

applied statisticsuniversal inferencestatistics

Algebraic Structures in Statistical Methodology. Oberwolfach Reports (2023)

Mathias DrtonThomas KahleSeth SullivantCaroline Uhler

statistical methodologymachine learningstatistics

Assessable and Interpretable Sensitivity Analysis in the Pattern Graph Framework for Nonignorable Missingness Mechanisms. Statistics in Medicine (2023)

Alireza ZamanianNarges AhmidiMathias Drton

Causal Structural Learning via Local Graphs. SIAM Journal on Mathematics of Data Science (2023)

Wenyu ChenMathias DrtonAli Shojaie

bayesian inferenceapplied mathematicsbayesian analysiscomputer sciencecausal inferenceprobability theorydata sciencestatistical inferencegraph theory

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5
13
10 / page

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