J. S. Marron

发表

Joint and individual analysis of breast cancer histologic images and genomic covariates

Marc Niethammer, Jan Hannig, Charles M. Perou, 2019 .

Geometric representation of high dimension, low sample size data

J. S. Marron, J. Marron, P. Hall, 2005 .

Distance-Weighted Discrimination

J. S. Marron, J. Marron, M. Todd, 2007 .

Overview of object oriented data analysis

J Steve Marron, J. S. Marron, A. Alonso, 2014, Biometrical journal. Biometrische Zeitschrift.

A general projection framwork for constrained smoothing

J. S. Marron, E. Mammen, M. Wand, 2014 .

Bump hunting by topological data analysis

Stephen T Rush, J. S. Marron, Max Sommerfeld, 2017 .

Skeletons, Object Shape, Statistics

J. S. Marron, S. Pizer, J. Damon, 2022, Frontiers in Computer Science.

Jackstraw inference for AJIVE data integration

J. S. Marron, K. Hoadley, Jan Hannig, 2021, Comput. Stat. Data Anal..

Measure of Strength of Evidence for Visually Observed Differences between Subpopulations

J. S. Marron, K. Hoadley, Jan Hannig, 2021, 2101.00362.

Data Integration Via Analysis of Subspaces (DIVAS)

J. S. Marron, Q. Tran-Dinh, Jan Hannig, 2022, 2212.00703.

Local polynomial regression for symmetric positive definite matrices

J. S. Marron, Weili Lin, Hongtu Zhu, 2012, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Analysis of Joint Shape Variation from Multi-Object Complexes

J. S. Marron, M. Styner, J. Damon, 2022, Journal of Mathematical Imaging and Vision.

Distance‐weighted discrimination

James Stephen Marron, J. S. Marron, J. Marron, 2015 .

Analysis of Rotational Deformations From Directional Data

James Stephen Marron, Stephen M. Pizer, Stephan Huckemann, 2015 .

Persistent Homology Analysis of Brain Artery Trees 1

J. S. Marron, Paul Bendich, Alex Pieloch, 2016 .

Multiresolution anomaly detection method for fractional Gaussian noise

Zhengyuan Zhu, James Stephen Marron, J. S. Marron, 2014 .

Fire or ice: anticorrelation of volcanism and glaciation in California over the past 800,000 years

J. S. Marron, A. Glazner, S. Rojstaczer, 1999 .

Data science vs. statistics: two cultures?

J. S. Marron, J. Marron, Iain Carmichael, 2018, Japanese Journal of Statistics and Data Science.

New Approaches to Principal Component Analysis for Trees

J. S. Marron, G. Pataki, Haonan Wang, 2012, Statistics in Biosciences.

Robust principal component analysis for functional data

D. G. Simpson, A. M. Aguilera, J. S. Marron, 2007 .

Geometric and Statistical Models for Analysis of Two-Object Complexes

J. S. Marron, S. Pizer, J. Damon, 2023, International Journal of Computer Vision.

When is a feature really there: the SiZer approach

James Stephen Marron, Probal Chaudhuri, J. S. Marron, 1998, Defense, Security, and Sensing.

Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analysing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al.

James Stephen Marron, J. S. Marron, 2019, Journal of the American Statistical Association.

Comments on: Data science, big data and statistics

J. S. Marron, 2019, TEST.

Big Data in context and robustness against heterogeneity

J. S. Marron, J. S. Marron, 2017 .

A survey of high dimension low sample size asymptotics

Haipeng Shen, Yi-Hui Zhou, Makoto Aoshima, 2018, Australian & New Zealand journal of statistics.

Statistical variability in nonlinear spaces: application to shape analysis and dt-mri

J. S. Marron, S. Pizer, S. Joshi, 2004 .

Powerful Significance Testing for Unbalanced Clusters

J. S. Marron, T. Keefe, 2023, 2308.13079.