引用次数
引用: 2,391
H-指数: 23
I10-指数 : 44
出版物: 131
On Quantifying Dependence: A Framework for Developing Interpretable Measures
Matthew Reimherr , Dan L. Nicolae
arXiv: Methodology
2013
Testing separability of space--time functional processes
Piotr Kokoszka , Matthew Reimherr , Panayiotis Constantinou
arXiv: Methodology
2
2015
Being an informed Bayesian: Assessing prior informativeness and prior likelihood conflict
Matthew Reimherr , Dan L. Nicolae , Xiao-Li Meng
arXiv: Methodology
12
2014
A Geometric Approach to Confidence Regions and Bands for Functional Parameters
Matthew Reimherr , Hyunphil Choi
arXiv: Methodology
1
2016
Optimal Prediction for Additive Function-on-Function Regression
Bharath Sriperumbudur , Matthew Reimherr , Bahaeddine Taoufik
arXiv: Statistics Theory
1
2017
Manifold Data Analysis with Applications to High-Frequency 3D Imaging
Mark Shriver , Matthew Reimherr , Peter Claes , Hyun Bin Kang
arXiv: Methodology
2
2017
On the Existence of Densities for Functional Data and their Link to Statistical Privacy
Aleksandra Slavkovic , Matthew Reimherr , Ardalan Mirshani
arXiv: Statistics Theory
2
2017
Testing Separability of Functional Time Series
Piotr Kokoszka , Matthew Reimherr , Panayiotis Constantinou
arXiv: Statistics Theory
2018
Functional Regression Models with Highly Irregular Designs
Matthew Reimherr , Justin Petrovich , Carrie Daymont
arXiv: Methodology
2
2018
Formal Privacy for Functional Data with Gaussian Perturbations
Aleksandra Slavkovic , Matthew Reimherr , Ardalan Mirshani
arXiv: Statistics Theory
3
2017
Optimal Function-on-Scalar Regression over Complex Domains
Bharath Sriperumbudur , Matthew Reimherr , Hyun Bin Kang
arXiv: Statistics Theory
2
2019
Elliptical Perturbations for Differential Privacy
Matthew Reimherr , Jordan Awan
arXiv: Cryptography and Security
2019
KNG: The K-Norm Gradient Mechanism
Matthew Reimherr , Jordan Awan
arXiv: Cryptography and Security
4
2019
Adaptive Function-on-Scalar Regression with a Smoothing Elastic Net
Matthew Reimherr , Ardalan Mirshani
arXiv: Methodology
2019
The Function-on-Scalar LASSO with Applications to Longitudinal GWAS
Matthew Reimherr , Rina Foygel Barber , Thomas Schill
arXiv: Statistics Theory
1
2016
High-Dimensional Adaptive Function-on-Scalar Regression
Matthew Reimherr , Zhaohu Fan
arXiv: Statistics Theory
2016
A randomness test for functional panels
Piotr Kokoszka , Nikolas Wölfing , Matthew Reimherr
arXiv: Methodology
2015
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
Aleksandra Slavković , Matthew Reimherr , Jordan Awan , Ana Kenney
arXiv: Cryptography and Security
3
2019
Highly Irregular Functional Generalized Linear Regression with Electronic Health Records
Matthew Reimherr , Carrie Daymont , Justin Petrovich
arXiv: Methodology
2
2018
Fast and Fair Simultaneous Confidence Bands for Functional Parameters.
Matthew Reimherr , Dominik Liebl
arXiv: Methodology
5
2019