Richard A. Davis

Richard A. Davis

Columbia University in the City of New York

H-index: 61

North America-United States

About Richard A. Davis

Richard A. Davis, With an exceptional h-index of 61 and a recent h-index of 33 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of statistics, probability.

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

Time series estimation of the dynamic effects of disaster-type shocks

‘Whose Education Is It Anyway?’

Clustering multivariate time series using energy distance

Goodness-of-fit testing for time series models via distance covariance

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

Independent Component Analysis with Heavy Tails using Distance Covariance

Cauchy, normal and correlations versus heavy tails

Kernel PCA for multivariate extremes

Richard A. Davis Information

University

Position

Professor of Statistics

Citations(all)

34672

Citations(since 2020)

9018

Cited By

35450

hIndex(all)

61

hIndex(since 2020)

33

i10Index(all)

152

i10Index(since 2020)

83

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Richard A. Davis Skills & Research Interests

statistics

probability

Top articles of Richard A. Davis

Title

Journal

Author(s)

Publication Date

Time series estimation of the dynamic effects of disaster-type shocks

Journal of Econometrics

Richard Davis

Serena Ng

2023/7/1

‘Whose Education Is It Anyway?’

Teachers' Work

Ra Davis

2023/6/30

Clustering multivariate time series using energy distance

Journal of Time Series Analysis

Richard A Davis

Leon Fernandes

Konstantinos Fokianos

2023/9

Goodness-of-fit testing for time series models via distance covariance

Journal of econometrics

Phyllis Wan

Richard A Davis

2022/3/1

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

The Lancet global health

Stephen R Knight

Catherine A Shaw

Riinu Pius

Thomas M Drake

Lisa Norman

...

2022/7/1

Independent Component Analysis with Heavy Tails using Distance Covariance

manuscript in preparation, Columbia University, http://www. stat. columbia. edu/~ rdavis/papers/DavisFernandesDraft2022. pdf

Richard Davis

Leon Fernandes

2022/1/16

Cauchy, normal and correlations versus heavy tails

Statistics & Probability Letters

Hui Xu

Joel E Cohen

Richard A Davis

Gennady Samorodnitsky

2022/7/1

Kernel PCA for multivariate extremes

arXiv preprint arXiv:2211.13172

Marco Avella-Medina

Richard A Davis

Gennady Samorodnitsky

2022/11/23

Handling missing extremes in tail estimation

Extremes

Hui Xu

Richard Davis

Gennady Samorodnitsky

2022/6

COVID-19 cases and deaths in the United States follow Taylor’s law for heavy-tailed distributions with infinite variance

Proceedings of the National Academy of Sciences

Joel E Cohen

Richard A Davis

Gennady Samorodnitsky

2022/9/20

Spectral learning of multivariate extremes

arXiv preprint arXiv:2111.07799

Marco Avella Medina

Richard A Davis

Gennady Samorodnitsky

2021/11/15

Preface to the Murray Rosenblatt memorial special issue of JTSA

Journal of Time Series Analysis

Richard C Bradley

Richard A Davis

Dimitris N Politis

2021/9/1

Murray Rosenblatt

Richard A Davis

2021

Indirect inference for time series using the empirical characteristic function and control variates

Journal of Time Series Analysis

Richard A Davis

Thiago do Rêgo Sousa

Claudia Klüppelberg

2021/9

Count‐valued time series models for COVID‐19 daily death dynamics

Stat

William R Palmer

Richard A Davis

Tian Zheng

2021/12

Count time series: A methodological review

Richard A Davis

Konstantinos Fokianos

Scott H Holan

Harry Joe

James Livsey

...

2021/5/3

Are extreme value estimation methods useful for network data?

Extremes

Phyllis Wan

Tiandong Wang

Richard A Davis

Sidney I Resnick

2020/3

Modeling of time series using random forests: Theoretical developments

Richard A Davis

Mikkel S Nielsen

2020/1/1

Stochastic differential equations with a fractionally filtered delay: A semimartingale model for long-range dependent processes

Richard A Davis

Mikkel Slot Nielsen

Victor Rohde

2020/5/1

Extreme value analysis without the largest values: what can be done?

Probability in the Engineering and Informational Sciences

Jingjing Zou

Richard A Davis

Gennady Samorodnitsky

2020/4

See List of Professors in Richard A. Davis University(Columbia University in the City of New York)

Co-Authors

H-index: 67
Sidney Resnick

Sidney Resnick

Cornell University

H-index: 55
mikosch

mikosch

Københavns Universitet

H-index: 51
Dimitris N. Politis

Dimitris N. Politis

University of California, San Diego

H-index: 43
P.J.Brockwell

P.J.Brockwell

Colorado State University

H-index: 37
Jay Breidt

Jay Breidt

Colorado State University

H-index: 15
Bojan Basrak

Bojan Basrak

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