Elizaveta (Liza) Levina

Elizaveta (Liza) Levina

University of Michigan

H-index: 42

North America-United States

About Elizaveta (Liza) Levina

Elizaveta (Liza) Levina, With an exceptional h-index of 42 and a recent h-index of 33 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of statistical network analysis, high-dimensional data, graphical models, applications to imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Selective inference for sparse multitask regression with applications in neuroimaging

Community models for networks observed through edge nominations

Graph-aware modeling of brain connectivity networks

Computational Inference for Directions in Canonical Correlation Analysis

Fair Information Spread on Social Networks with Community Structure

A pseudo-likelihood approach to community detection in weighted networks

Conformal Prediction for Network-Assisted Regression

Overlapping community detection in networks via sparse spectral decomposition

Elizaveta (Liza) Levina Information

University

Position

Professor of Statistics

Citations(all)

13087

Citations(since 2020)

5895

Cited By

10012

hIndex(all)

42

hIndex(since 2020)

33

i10Index(all)

56

i10Index(since 2020)

49

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Elizaveta (Liza) Levina Skills & Research Interests

statistical network analysis

high-dimensional data

graphical models

applications to imaging

Top articles of Elizaveta (Liza) Levina

Title

Journal

Author(s)

Publication Date

Selective inference for sparse multitask regression with applications in neuroimaging

The Annals of Applied Statistics

Snigdha Panigrahi

Natasha Stewart

Chandra Sripada

Elizaveta Levina

2024/3

Community models for networks observed through edge nominations

Journal of Machine Learning Research

Tianxi Li

Elizaveta Levina

Ji Zhu

2023

Graph-aware modeling of brain connectivity networks

The Annals of Applied Statistics

Yura Kim

Daniel Kessler

Elizaveta Levina

2023/9

Computational Inference for Directions in Canonical Correlation Analysis

arXiv preprint arXiv:2308.11218

Daniel Kessler

Elizaveta Levina

2023/8/22

Fair Information Spread on Social Networks with Community Structure

arXiv preprint arXiv:2305.08791

Octavio Mesner

Elizaveta Levina

Ji Zhu

2023/5/15

A pseudo-likelihood approach to community detection in weighted networks

arXiv preprint arXiv:2303.05909

Andressa Cerqueira

Elizaveta Levina

2023/3/10

Conformal Prediction for Network-Assisted Regression

arXiv preprint arXiv:2302.10095

Robert Lunde

Elizaveta Levina

Ji Zhu

2023/2/20

Overlapping community detection in networks via sparse spectral decomposition

Sankhya A

Jesús Arroyo

Elizaveta Levina

2022/6

Matrix means and a novel high-dimensional shrinkage phenomenon

Bernoulli

Asad Lodhia

Keith Levin

Elizaveta Levina

2022/11

Hierarchical community detection by recursive partitioning

Journal of the American Statistical Association

Tianxi Li

Lihua Lei

Sharmodeep Bhattacharyya

K. Van den Berge

Purnamrita Sarkar

...

2020

Predicting Responses from Weighted Networks with Node Covariates in an Application to Neuroimaging

arXiv preprint arXiv:2210.17519

Daniel Kessler

Keith Levin

Elizaveta Levina

2022/10/31

Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li

Journal of Business & Economic Statistics

Peter W MacDonald

Elizaveta Levina

Ji Zhu

2022/4/3

Latent process models for functional network data

arXiv preprint arXiv:2210.07491

Peter W MacDonald

Elizaveta Levina

Ji Zhu

2022/10/14

Estimating the number of communities by spectral methods

Electronic Journal of Statistics

Can M Le

Elizaveta Levina

2022/1

Latent space models for multiplex networks with shared structure

Biometrika

Peter W MacDonald

Elizaveta Levina

Ji Zhu

2022/9

Recovering shared structure from multiple networks with unknown edge distributions

Journal of Machine Learning Research

Keith Levin

Asad Lodhia

Elizaveta Levina

2022

Network resampling for estimating uncertainty

arXiv preprint arXiv:2206.13088

Qianhua Shan

Elizaveta Levina

2022/6/27

High-dimensional Gaussian graphical models on network-linked data

Journal of Machine Learning Research

Tianxi Li

Cheng Qian

Elizaveta Levina

Ji Zhu

2020

Comment: Ridge Regression and Regularization of Large Matrices

Technometrics

Can M Le

Keith Levin

Peter J Bickel

Elizaveta Levina

2020/10/1

Network cross-validation by edge sampling

Biometrika

Tianxi Li

Elizaveta Levina

Ji Zhu

2020/4/20

See List of Professors in Elizaveta (Liza) Levina University(University of Michigan)

Co-Authors

H-index: 111
Mark Newman

Mark Newman

University of Michigan

H-index: 100
peter bickel

peter bickel

University of California, Berkeley

H-index: 69
Ji Zhu

Ji Zhu

University of Michigan-Dearborn

H-index: 52
Roman Vershynin

Roman Vershynin

University of California, Irvine

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