Daniel Cooley

Daniel Cooley

Colorado State University

H-index: 31

North America-United States

About Daniel Cooley

Daniel Cooley, With an exceptional h-index of 31 and a recent h-index of 25 (since 2020), a distinguished researcher at Colorado State University, specializes in the field of Statistics of extremes, tail dependence, spatial extremes, geostatistics, environmental applications.

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

Neural Network for Asymptotic Dependence/Independence Classification: A Series of Experiments

Simulating flood event sets using extremal principal components

Methodology in Air Pollution Epidemiology for Large-Scale Exposure Prediction and Environmental Trials with Non-Compliance

Attribution of Seasonal Wildfire Risk to Changes in Climate: A Statistical Extremes Approach

Transformed-Linear Innovations Algorithm for Modeling and Forecasting of Time Series Extremes

Semiparametric estimation of the shape of the limiting multivariate point cloud

New methods for fixed-margin binary matrix sampling, Fréchet covariance, and MANOVA tests for random objects in multiple metric spaces

Linear prediction and partial tail correlation for extremes

Daniel Cooley Information

University

Position

Professor of Statistics

Citations(all)

4281

Citations(since 2020)

2111

Cited By

3083

hIndex(all)

31

hIndex(since 2020)

25

i10Index(all)

48

i10Index(since 2020)

38

Email

University Profile Page

Colorado State University

Google Scholar

View Google Scholar Profile

Daniel Cooley Skills & Research Interests

Statistics of extremes

tail dependence

spatial extremes

geostatistics

environmental applications

Top articles of Daniel Cooley

Title

Journal

Author(s)

Publication Date

Neural Network for Asymptotic Dependence/Independence Classification: A Series of Experiments

Troy P Wixson

Daniel Cooley

2024/3/4

Simulating flood event sets using extremal principal components

https://arxiv.org/abs/2106.00630

Christian Rohrbeck

Daniel Cooley

2021/6/2

Methodology in Air Pollution Epidemiology for Large-Scale Exposure Prediction and Environmental Trials with Non-Compliance

Nathan Ryder

2023

Attribution of Seasonal Wildfire Risk to Changes in Climate: A Statistical Extremes Approach

Journal of Applied Meteorology and Climatology

Troy P Wixson

Daniel Cooley

2023/11

Transformed-Linear Innovations Algorithm for Modeling and Forecasting of Time Series Extremes

arXiv preprint arXiv:2309.10061

Nehali Mhatre

Daniel Cooley

2023/9/18

Semiparametric estimation of the shape of the limiting multivariate point cloud

arXiv preprint arXiv:2306.13257

Reetam Majumder

Benjamin A Shaby

Brian J Reich

Daniel Cooley

2023/6/23

New methods for fixed-margin binary matrix sampling, Fréchet covariance, and MANOVA tests for random objects in multiple metric spaces

Alex M Fout

2022

Linear prediction and partial tail correlation for extremes

Jeongjin Lee

Daniel Cooley

Piotr Kokoszka

Jay Breidt

Ali Pezeshki

2022

Bayesian methods for environmental exposures: mixtures and missing data

Lauren Hoskovec

2022

Partial Tail Correlation for Extremes

Jeongjin Lee

Daniel Cooley

2022/10/5

Does a concussion in adolescents increase likelihood of developing insomnia?

Evidence-Based Practice

Adam Guck

Daniel Cooley

Victoria Godwin

Mariam Mansour

2022/4/1

Symmetric functions, shifted tableaux, and a class of distinct Schur Q-functions

Kyle Salois

2022

Closing the methane gap in US oil and natural gas production emissions inventories

Nature communications

Jeffrey S Rutherford

Evan D Sherwin

Arvind P Ravikumar

Garvin A Heath

Jacob Englander

...

2021/8/5

Transformed‐Linear Models for Time Series Extremes

Journal of Time Series Analysis

Nehali Mhatre

Daniel Cooley

2021

Changes in Climate and its Effect on Timing of Snowmelt and Intensity-Duration-Frequency Curves

Anna M Wagner

Christopher A Hiemstra

Glen E Liston

Katrina Eleanor Bennett

Dan S Cooley

...

2021/7/1

Editorial to the special issue: Statistical modeling of environmental extremes

Extremes

Dan Cooley

Philippe Naveau

2021/6

Simultaneous autoregressive models for spatial extremes

Environmetrics

Miranda J Fix

Daniel S Cooley

Emeric Thibaud

2021/3

Transformed-linear prediction for extremes

arXiv preprint arXiv:2111.03754

Jeongjin Lee

Daniel Cooley

2021/11/5

Some topics in high-dimensional robust inference and graphical modeling

Youngseok Song

2021

Multiple indicators of extreme changes in snow-dominated streamflow regimes, Yakima River Basin region, USA

Water

Anna M Wagner

Katrina E Bennett

Glen E Liston

Christopher A Hiemstra

Dan Cooley

2021/9/22

See List of Professors in Daniel Cooley University(Colorado State University)