Prof. Marvin N. Wright

Further information:

Head of Emmy Noether Junior Research Group: "Beyond Prediction - Statistical Inference with Machine Learning"

Associate Professor at the Section of Biostatistics, Department of Public Health, University of Copenhagen

Personal website: https://mnwright.github.io/
Google Scholar: http://scholar.google.com/citations?user=4_VM5MIAAAAJ

Projects:

Lifespan AI: From Longitudinal Data to Lifespan Inference in Health LifespanAI, DFG (University of Copenhagen, National University of Singapore)
Emmy Noether Program: Beyond Prediction - Statistical Inference with Machine Learning, DFG (Stanford University, University of Oxford)

Ecosystem

Member of the research focus "Minds, Media, Machines"

Co-speaker of the Lifespan AI work program

Head of the Emmy Noether Junior Research Group "Beyond Prediction Statistical Inference with Machine Learning"

Publications

2021 // journal-article

The Translational Machine: A novel machine-learning approach to illuminate complex genetic architectures

Genetic Epidemiology

Askland, K.D.; Strong, D.; Wright, M.N.; Moore, J.H.

DOI: 10.1002/gepi.22383

2021 // other

Relating the partial dependence plot and permutation feature importance to the data generating process

arXiv

Molnar, C.; Freiesleben, T.; König, G.; Casalicchio, G.; Wright, M.N.; Bischl, B.

DOI: 10.48550/arxiv.2109.01433

2021 // journal-article

Testing conditional independence in supervised learning algorithms

Machine Learning

Watson, D.S.; Wright, M.N.

DOI: 10.1007/s10994-021-06030-6

2021 // journal-article

Association of Individual Motor Abilities and Accelerometer-Derived Physical Activity Measures in Preschool-Aged Children

Journal for the Measurement of Physical Behavior

Breau, B.; Brandes, B.; Wright, M.N.; Buck, C.; Vallis, L.A.; Brandes, M.

DOI: 10.1123/jmpb.2020-0065

2021 // journal-article

Personalized need of care in an ageing society: The making of a prediction tool based on register data

Journal of the Royal Statistical Society. Series A: Statistics in Society

Wright, M.N.; Kusumastuti, S.; Mortensen, L.H.; Westendorp, R.G.J.; Gerds, T.A.

DOI: 10.1111/rssa.12644

2021 // other

Generalization of the change of variables formula with applications to residual flows

arXiv

Koenen, N.; Wright, M.N.; Maaß, P.; Behrmann, J.

DOI: 10.48550/arxiv.2107.04346

2021 // journal-article

Polygenic risk for obesity and its interaction with lifestyle and sociodemographic factors in European children and adolescents

International Journal of Obesity

Hüls, A.; Wright, M.N.; Bogl, L.H.; Kaprio, J.; Lissner, L.; Molnár, D.; Moreno, L.A.; De Henauw, S.; Siani, A.; Veidebaum, T.; Ahrens, W.; Pigeot, I.; Foraita, R.

DOI: 10.1038/s41366-021-00795-5

2020 // journal-article

Statistical learning approaches in the genetic epidemiology of complex diseases

Human genetics

DOI: 10.1007/s00439-019-01996-9

2020 // journal-article

Discrete-time survival forests with Hellinger distance decision trees

Data Mining and Knowledge Discovery

Schmid, M.; Welchowski, T.; Wright, M.N.; Berger, M.

DOI: 10.1007/s10618-020-00682-z

2020 // other

A healthy childhood environment helps to combat inherited susceptibility to obesity

bioRxiv

Hüls, A.; Wright, M.N.; Bogl, L.H.; Kaprio, J.; Lissner, L.; Molnár, D.; Moreno, L.; De Henauw, S.; Siani, A.; Veidebaum, T.; Ahrens, W.; Pigeot, I.; Foraita, R.

DOI: 10.1101/2020.01.13.905125

2020 // journal-article

Impact of "JolinchenKids-Fit and healthy in Daycare" on children's objectively measured physical activity: A cluster-controlled study

Journal of Physical Activity and Health

Brandes, B.; Buck, C.; Wright, M.N.; Pischke, C.R.; Brandes, M.

DOI: 10.1123/jpah.2019-0536

2019 // journal-article

Splitting on categorical predictors in random forests

PeerJ

https://doi.org/10.7717/peerj.6339

2019 // journal-article

A Random Forest Approach for Bounded Outcome Variables

Journal of Computational and Graphical Statistics

DOI: 10.48550/arxiv.1901.06211

2019 // journal-article

Block Forests: random forests for blocks of clinical and omics covariate data

BMC bioinformatics

DOI: 10.1186/s12859-019-2942-y

2019 // journal-article

Accelerometry-Based Prediction of Energy Expenditure in Preschoolers

Journal for the Measurement of Physical Behavior

DOI: 10.1123/jmpb.2018-0032

2019 // journal-article

Hyperparameters and tuning strategies for random forest

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

DOI: 10.48550/arxiv.1804.03515

2018 // journal-article

Detection of drug risks after approval: Methods development for the use of routine statutory health insurance data,Detection of drug risks after approval: Methods development for the use of routine statutory health insurance data

Bundesgesundheitsblatt - Health research - Health protection

Foraita, R.; Dijkstra, L.; Falkenberg, F.; Garling, M.; Linder, R.; Pflock, R.; Rizkallah, M.R.; Schwaninger, M.; Wright, M.N.; Pigeot, I.

DOI: 10.1007/s00103-018-2786-z

2018 // journal-article

Support Vector Machines for Survival Analysis with R.

R Journal

DOI: 10.32614/rj-2018-005

2018 // journal-article

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

PeerJ

https://doi.org/10.7287/peerj.preprints.26693v2

2018 // journal-article

Low-level mitochondrial heteroplasmy modulates DNA replication, glucose metabolism and lifespan in mice

Scientific reports

DOI: 10.1101/179622

2018 // journal-article

The revival of the Gini importance?

Bioinformatics

https://doi.org/10.1093/bioinformatics/bty373

2017 // journal-article

SoilGrids250m: Global gridded soil information based on machine learning

PLoS one

DOI: 10.1371/journal.pone.0169748

2017 // journal-article

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Journal of Statistical Software

DOI: 10.18637/jss.v077.i01

2017 // book-chapter

Preprocessing and Quality Control for Whole-Genome Sequences from the Illumina HiSeq X Platform

Statistical Human Genetics

DOI: 10.1007/978-1-4939-7274-6_30

2017 // journal-article

Unbiased split variable selection for random survival forests using maximally selected rank statistics

Statistics in medicine

DOI: 10.1002/sim.7212

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Prof. Marvin N. Wright

Ecosystem

Publications

The Translational Machine: A novel machine-learning approach to illuminate complex genetic architectures

Relating the partial dependence plot and permutation feature importance to the data generating process

Testing conditional independence in supervised learning algorithms

Association of Individual Motor Abilities and Accelerometer-Derived Physical Activity Measures in Preschool-Aged Children

Personalized need of care in an ageing society: The making of a prediction tool based on register data

Generalization of the change of variables formula with applications to residual flows

Polygenic risk for obesity and its interaction with lifestyle and sociodemographic factors in European children and adolescents

Statistical learning approaches in the genetic epidemiology of complex diseases

Discrete-time survival forests with Hellinger distance decision trees

A healthy childhood environment helps to combat inherited susceptibility to obesity

Impact of "JolinchenKids-Fit and healthy in Daycare" on children's objectively measured physical activity: A cluster-controlled study

Splitting on categorical predictors in random forests

A Random Forest Approach for Bounded Outcome Variables

Block Forests: random forests for blocks of clinical and omics covariate data

Accelerometry-Based Prediction of Energy Expenditure in Preschoolers

Hyperparameters and tuning strategies for random forest

Detection of drug risks after approval: Methods development for the use of routine statutory health insurance data,Detection of drug risks after approval: Methods development for the use of routine statutory health insurance data

Support Vector Machines for Survival Analysis with R.

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

Low-level mitochondrial heteroplasmy modulates DNA replication, glucose metabolism and lifespan in mice

The revival of the Gini importance?

SoilGrids250m: Global gridded soil information based on machine learning

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Preprocessing and Quality Control for Whole-Genome Sequences from the Illumina HiSeq X Platform

Unbiased split variable selection for random survival forests using maximally selected rank statistics

Please feel free to mail us, if you have any further questions

Please feel free to mail us, if you have any further questions