James Johndrow

James Johndrow

University of Pennsylvania

H-index: 17

North America-United States

About James Johndrow

James Johndrow, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Bayesian statistics, scalable computation, MCMC, nonparametric Bayes.

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

Efficiency of ETA Prediction

Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model

Spectral gaps and error estimates for infinite-dimensional Metropolis–Hastings with non-Gaussian priors

Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors

Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment

Limits of epidemic prediction using SIR models

MCMC for Global-Local Shrinkage Priors in High-Dimensional Settings

Removing the influence of group variables in high-dimensional predictive modelling

James Johndrow Information

University

Position

Assistant Professor Department of Statistics

Citations(all)

2051

Citations(since 2020)

986

Cited By

1482

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

25

i10Index(since 2020)

21

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

James Johndrow Skills & Research Interests

Bayesian statistics

scalable computation

MCMC

nonparametric Bayes

Top articles of James Johndrow

Title

Journal

Author(s)

Publication Date

Efficiency of ETA Prediction

SIAM Journal on Mathematics of Data Science

Chiwei Yan

James Johndrow

Dawn Woodard

Yanwei Sun

2024/4/9

Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model

Biometrics

David A Buch

James E Johndrow

David B Dunson

2023/12

Spectral gaps and error estimates for infinite-dimensional Metropolis–Hastings with non-Gaussian priors

The Annals of Applied Probability

Bamdad Hosseini

James E Johndrow

2023/6

Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors

Journal of the Royal Statistical Society Series B: Statistical Methodology

Niloy Biswas

Anirban Bhattacharya

Pierre E Jacob

James E Johndrow

2022/7

Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment

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

Kristian Lum

David B Dunson

James Johndrow

2022/4

Limits of epidemic prediction using SIR models

Journal of Mathematical Biology

Omar Melikechi

Alexander L Young

Tao Tang

Trevor Bowman

David Dunson

...

2022/10

MCMC for Global-Local Shrinkage Priors in High-Dimensional Settings

Anirban Bhattacharya

James Johndrow

2021/12/24

Removing the influence of group variables in high-dimensional predictive modelling

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

Emanuele Aliverti

Kristian Lum

James E Johndrow

David B Dunson

2021/7

The Hastings algorithm at fifty

Biometrika

David B Dunson

James E Johndrow

2020/3/1

No free lunch for approximate MCMC

arXiv preprint arXiv:2010.12514

James E Johndrow

Natesh S Pillai

Aaron Smith

2020/10/23

Scalable approximate MCMC algorithms for the horseshoe prior

Journal of Machine Learning Research

James Johndrow

Paulo Orenstein

Anirban Bhattacharya

2020

Forecasting PPE consumption during a pandemic: the case of Covid-19

medRxiv

Kristian Lum

James Johndrow

April Cardone

Barry Fuchs

Cody E Cotner

...

2020/8/23

Estimating the number of SARS-CoV-2 infections and the impact of mitigation policies in the United States

Harvard Data Sci. Rev

James Johndrow

Patrick Ball

Maria Gargiulo

Kristian Lum

2020/11/23

See List of Professors in James Johndrow University(University of Pennsylvania)

Co-Authors

H-index: 36
Jonathan C. Mattingly

Jonathan C. Mattingly

Duke University

H-index: 33
Sarah Stanley

Sarah Stanley

University of California, Berkeley

H-index: 31
Natesh S. Pillai

Natesh S. Pillai

Harvard University

H-index: 21
Kristian Lum

Kristian Lum

University of Pennsylvania

H-index: 14
Aaron Smith

Aaron Smith

Ottawa University

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