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D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7309
World Ranking
6542
National Ranking
1790

Research.com Recognitions

  • 2017 - Fellow of the American Statistical Association (ASA)

Overview

Mevin B. Hooten is affiliated with The University of Texas at Austin in the United States. Their research primarily focuses on Environmental Science, with 112 publications in this field. Within Environmental Science, their work encompasses several subfields including Ecology, Nature and Landscape Conservation, Ecological Modeling, Genetics, and Statistics and Probability.

The main topics covered in Hooten's research span across Wildlife Ecology and Conservation, Species Distribution and Climate Change, Ecology and Vegetation Dynamics Studies, Fish Ecology and Management Studies, Avian Ecology and Behavior, Marine Animal Studies Overview, and Economic and Environmental Valuation.

Hooten has contributed to multiple publication venues, frequently publishing in arXiv (Cornell University), Biometrics, Journal of Agricultural Biological and Environmental Statistics, Movement Ecology, and Spatial Statistics. This variety reflects a blend of statistical and ecological research contexts.

Recent papers authored or coauthored by Hooten include:

  • What processes must we understand to forecast regional-scale population dynamics? (2020, Proceedings of the Royal Society B Biological Sciences)
  • Ecological forecasting-21st century science for 21st century management (2020, Antarctica A Keystone in a Changing World)
  • Statistical Implementations of Agent-Based Demographic Models (2020, International Statistical Review)
  • Statistical Challenges in Agent-Based Modeling (2021, The American Statistician)
  • Diffusion modeling reveals effects of multiple release sites and human activity on a recolonizing apex predator (2021, Movement Ecology)

Frequent collaborators in Hooten's research include Xinyi Lu, Yoichiro Kanno, Justin J. Van Ee, Michael R. Schwob, and Perry J. Williams, reflecting a network of coauthors involved in related research areas.

Hooten was recognized as a Fellow of the American Statistical Association (ASA) in 2017.

Best Publications

  • A guide to Bayesian model selection for ecologists

    Mevin Hooten;N.T. Hobbs

  • On the use of log‐transformation vs. nonlinear regression for analyzing biological power laws

    Xiao Xiao;Ethan P. White;Mevin B. Hooten;Susan L. Durham

  • A guide to Bayesian model checking for ecologists

    Paul B. Conn;Devin S. Johnson;Perry J. Williams;Sharon R. Melin

  • Spatial autoregressive models for statistical inference from ecological data

    Jay M. Ver Hoef;Erin E. Peterson;Mevin B. Hooten;Mevin B. Hooten;Ephraim M. Hanks

  • A general science-based framework for dynamical spatio-temporal models

    Christopher K. Wikle;Mevin B. Hooten

  • Clonal dynamics in western North American aspen (Populus tremuloides)

    Karen E. Mock;C. A. Rowe;Mevin B. Hooten;J. DeWoody

  • Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification

    Ephraim M. Hanks;Erin M. Schliep;Mevin B. Hooten;Mevin B. Hooten;Jennifer A. Hoeting

  • Spatial occupancy models for large data sets

    Devin S. Johnson;Paul B. Conn;Mevin B. Hooten;Justina C. Ray

  • A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove

    Mevin B. Hooten;Christopher K. Wikle

  • Model selection and assessment for multi-species occupancy models

    Kristin M. Broms;Mevin B. Hooten;Mevin B. Hooten;Ryan M. Fitzpatrick

  • The basis function approach for modeling autocorrelation in ecological data.

    Trevor J. Hefley;Kristin M. Broms;Brian M. Brost;Frances E. Buderman

  • Hierarchical spatiotemporal matrix models for characterizing invasions.

    Mevin B. Hooten;Christopher K. Wikle;Robert M. Dorazio;J. Andrew Royle

  • Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin

    James J. Roberts;Kurt D. Fausch;Douglas P. Peterson;Mevin B. Hooten;Mevin B. Hooten

  • Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model

    Mevin B. Hooten;David R. Larsen;Christopher K. Wikle

  • Continuous-time discrete-space models for animal movement

    Ephraim M. Hanks;Mevin B. Hooten;Mat W. Alldredge

  • When mechanism matters: Bayesian forecasting using models of ecological diffusion.

    Trevor J. Hefley;Mevin B. Hooten;Robin E. Russell;Daniel P. Walsh

  • Statistical Agent-Based Models for Discrete Spatio-Temporal Systems

    Mevin B. Hooten;Christopher K. Wikle

  • Assessing North American Influenza Dynamics with a Statistical SIRS Model

    Mevin B. Hooten;Jessica Anderson;Lance A. Waller

  • Dynamic occupancy models for explicit colonization processes

    Kristin Mai Broms;Mevin B. Hooten;Mevin B. Hooten;Devin S. Johnson;Res Altwegg

  • Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models

    Mevin B. Hooten;William B. Leeds;Jerome Fiechter;Christopher K. Wikle

Frequent Co-Authors

Christopher K. Wikle
Christopher K. Wikle University of Missouri
N. Thompson Hobbs
N. Thompson Hobbs Colorado State University
Juan Manuel Morales
Juan Manuel Morales National University of Comahue
Peter B. Adler
Peter B. Adler Utah State University
Stephen T. Jackson
Stephen T. Jackson United States Geological Survey
Robert K. Booth
Robert K. Booth Lehigh University
Michael C. Dietze
Michael C. Dietze Boston University
Robin E. Russell
Robin E. Russell United States Geological Survey
John W. Durban
John W. Durban New England Aquarium
Henry W. Loescher
Henry W. Loescher National Ecological Observatory Network

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