M. Hooten

发表

Nonnative Trout Invasions Combined with Climate Change Threaten Persistence of Isolated Cutthroat Trout Populations in the Southern Rocky Mountains

James J. Roberts, K. Fausch, M. Hooten, 2017 .

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

James J. Roberts, K. Fausch, M. Hooten, 2013, Global change biology.

Do we need demographic data to forecast plant population dynamics?

M. Hooten, P. Adler, A. Tredennick, 2016, bioRxiv.

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

M. Hooten, C. Wikle, 2010 .

Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat

Brian M. Brost, M. Hooten, M. Castellote, 2017 .

On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models

Mevin B. Hooten, Ephraim M. Hanks, Jay M. Ver Hoef, 2017, Spatial Statistics.

Climate influences the demography of three dominant sagebrush steppe plants.

M. Hooten, P. Adler, D. Koons, 2011, Ecology.

Models for Bounded Systems with Continuous Dynamics

Mevin B Hooten, M. Hooten, A. Cangelosi, 2009, Biometrics.

Statistical Agent-Based Models for Discrete Spatio-Temporal Systems

M. Hooten, C. Wikle, 2010 .

Invasions , Epidemics , and Binary Data in a Cellular World

M. Hooten, C. Wikle, 2007 .

Hierarchical spatio-temporal models for ecological processes

M. Hooten, 2006 .

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

M. Hooten, E. White, S. Durham, 2011, Ecology.

Hierarchical Spatiotemporal Matrix Models for Characterizing Invasions

J. Andrew Royle, M. Hooten, C. Wikle, 2007, Biometrics.

Forecasting climate change impacts on plant populations over large spatial extents

M. Hooten, C. Homer, P. Adler, 2016 .

Hierarchical Species Distribution Models

M. Hooten, T. Hefley, 2016 .

Safari Science: assessing the reliability of citizen science data for wildlife surveys

Cara E. Steger, M. Hooten, B. Butt, 2017 .

Mapping pre-European settlement vegetation at fine resolutions using a hierarchical Bayesian model and GIS

Hong S. He, M. Hooten, C. Wikle, 2007, Plant Ecology.

Summer spatial patterning of chukars in relation to free water in western Utah

M. Hooten, J. Bissonette, R. Larsen, 2009, Landscape Ecology.

Accounting for Individuals, Uncertainty, and Multiscale Clustering in Core Area Estimation

Mevin B. Hooten, John A. Shivik, M. Hooten, 2010 .

Monitoring dynamic spatio-temporal ecological processes optimally.

Perry J. Williams, M. Hooten, J. Womble, 2017, Ecology.

9. Inference from Multiple Models

Mevin B. Hooten, N. Thompson Hobbs, M. Hooten, 2015 .

Animalmovementmodels withmechanistic selection functions

M. Hooten, J. Powell, Xinyi Lu, 2020 .

Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars

Jacob S. Ivan, Mevin B Hooten, Ephraim M Hanks, 2018, Movement Ecology.

Predatory Behavior is Primary Predictor of Movement of Wildland-Urban Cougars

Jacob S. Ivan, Mevin B. Hooten, Ephraim M. Hanks, 2018, bioRxiv.

Velocity-Based Movement Modeling for Individual and Population Level Inference

M. Hooten, E. Hanks, J. Sterling, 2011, PloS one.

Accounting for phenology in the analysis of animal movement

M. Hooten, G. Durner, Ryan R. Wilson, 2018, Biometrics.

Dynamic Social Networks Based on Movement 1

M. Hooten, B. Fosdick, J. Durban, 2017 .

Dynamic social networks based on movement

Mevin B. Hooten, Henry R. Scharf, Josh M. London, 2015, 1512.07607.

Continuous-time discrete-space models for animal movement

Mevin B. Hooten, Ephraim M. Hanks, M. Hooten, 2012, 1211.1992.

Temporal variation and scale in movement-based resource selection functions

Mevin B. Hooten, Ephraim M. Hanks, M. Hooten, 2014 .

Circuit Theory and Model-Based Inference for Landscape Connectivity

Mevin B. Hooten, Ephraim M. Hanks, M. Hooten, 2013 .

Forest species diversity reduces disease risk in a generalist plant pathogen invasion.

Mevin B Hooten, Ross K Meentemeyer, David M Rizzo, 2011, Ecology letters.

Hierarchical Bayesian Spatio-Temporal Models for Population Spread

Mevin B. Hooten, Christopher K. Wikle, M. Hooten, 2006 .

Dynamic spatio-temporal models for spatial data

M. Hooten, D. Walsh, E. Hanks, 2017 .

Movement reveals scale dependence in habitat selection of a large ungulate.

George Wittemyer, M. Hooten, G. Wittemyer, 2016, Ecological applications : a publication of the Ecological Society of America.

Compound effects of water clarity, inflow, wind and climate warming on mountain lake thermal regimes

M. Hooten, Brett M. Johnson, K. Christianson, 2019, Aquatic Sciences.

On the existence of maximum likelihood estimates for presence‐only data

M. Hooten, T. Hefley, 2015 .

MODELING THE DISTRIBUTION OF GROUND FLORA ON LARGE SPATIAL DOMAINS IN THE MISSOURI OZARKS

M. Hooten, C. Wikle, D. Larsen, 2002 .

A Bayesian model for predicting local El Niño events using tree ring widths and cellulose δ18O

M. Hooten, J. Nippert, J. Ward, 2010 .

Multi-Fraction Bayesian Sediment Transport Model

M. Hooten, P. Wilcock, D. Stevens, 2015 .

Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling

Brian M. Brost, M. Hooten, Devin S. Johnson, 2020, Journal of Agricultural, Biological and Environmental Statistics.

Submitted to the Annals of Applied Statistics PREDICTING PALEOCLIMATE FROM COMPOSITIONAL DATA USING MULTIVARIATE GAUSSIAN PROCESS INVERSE PREDICTION By

M. Hooten, J. McLachlan, R. Booth, 2019 .

Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction

M. Hooten, J. McLachlan, R. Booth, 2019, The Annals of Applied Statistics.

An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics.

Mevin B Hooten, Perry J. Williams, Trevor J Hefley, 2017, Ecology.

Inferring invasive species abundance using removal data from management actions.

M. Hooten, Ryan S. Miller, A. Davis, 2016, Ecological applications : a publication of the Ecological Society of America.

Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models

M. Hooten, N. Pederson, John R. Tipton, 2016 .

Evaluating breeding and metamorph occupancy and vernal pool management effects for wood frogs using a hierarchical model

M. Hooten, L. Bailey, E. Grant, 2013 .

Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae

M. Hooten, S. Jackson, R. Booth, 2019, The Holocene.

Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression

M. Hooten, S. Goring, John R. Tipton, 2017 .

Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts

Jay M. Ver Hoef, Mevin B. Hooten, Peter L. Boveng, 2015 .

A Bayesian hierarchical model for forecasting intermountain snow dynamics

M. Hooten, J. Symanzik, J. Odei, 2014 .

Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling

M. Hooten, C. Webb, J. Hoeting, 2020, PLoS neglected tropical diseases.

What processes must we understand to forecast regional-scale population dynamics?

M. Hooten, P. Adler, J. Lasky, 2020, Proceedings of the Royal Society B.

Inferring infection hazard in wildlife populations by linking data across individual and population scales

Michael G. Buhnerkempe, Michael G Buhnerkempe, M. Hooten, 2017, Ecology letters.

Scale‐dependent influence of the sagebrush community on genetic connectivity of the sagebrush obligate Gunnison sage‐grouse

Cameron L. Aldridge, M. Hooten, C. Aldridge, 2022, Molecular ecology.

Do we need demographic data to forecast plant 1 population dynamics ?

M. Hooten, P. Adler, A. Tredennick, 2016 .

Predicting effects of large‐scale reforestation on native and exotic birds

M. Hooten, G. Daily, Liba Pejchar, 2018 .

2 Ecological Forecasting : Needs , opportunities , and challenges Iterative ecological forecasting : Needs , opportunities , and challenges

Catherine S. Jarnevich, J. Randerson, K. Weathers, 2017 .

Community confounding in joint species distribution models

Jacob S. Ivan, M. Hooten, Justin J Van Ee, 2021, Scientific Reports.

Bayesian Capture-Recapture Models that Facilitate Recursive Computing

Jacob S. Ivan, Michael R. Schwob, M. Hooten, 2022 .

Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems

M. Hooten, Xinyi Lu, D. Swanson, 2022, 2208.07398.

Iterative ecological forecasting: Needs, opportunities, and challenges

Christine Laney, Mevin B. Hooten, Michael C. Dietze, 2016 .

Combined effects of climate, predation, and density dependence on Greater and Lesser Scaup population dynamics.

Beth E. Ross, M. Hooten, D. Koons, 2015, Ecological applications : a publication of the Ecological Society of America.

Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements.

N. T. Hobbs, Therese L. Johnson, M. Hooten, 2018, Ecological applications : a publication of the Ecological Society of America.

Bayesian Inverse Reinforcement Learning for Collective Animal Movement

Toryn L. J. Schafer, M. Hooten, C. Wikle, 2020, The Annals of Applied Statistics.

Source Reconstruction for Spatio-Temporal Physical Statistical Models

M. Hooten, A. Berdahl, Connie Okasaki, 2021, 2112.13829.

Ecological forecasting—21st century science for 21st century management

Mark T. Wiltermuth, J. Read, M. Hooten, 2020 .

Accounting for Individuals, Uncertainty, and Multiscale Clustering in Core Area Estimation

M. Hooten, J. Shivik, Bradley N. Strobel, 2010 .

for landscape genetics 2 Running Head: Estimating resistance parameters

M. Hooten, J. Hoef, M. Fortin, 2020 .

Simple statistical models can be sufficient for testing hypotheses with population time‐series data

J. Olden, M. Hooten, N. Poff, 2022, Ecology and evolution.

Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity

M. Hooten, Sierra Pugh, H. Scharf, 2021, Biometrics.

Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology

Michael R. Schwob, M. Hooten, T. McDevitt-Galles, 2022, 2212.05180.

Clonal dynamics in western North American aspen (Populus tremuloides)

M. Hooten, V. Hipkins, K. Mock, 2008, Molecular ecology.

Melding Wildlife Surveys to Improve Conservation Inference

M. Hooten, M. Koslovsky, Kent A. Fricke, 2022, 2211.12642.

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

Mevin B. Hooten, Ephraim M. Hanks, Jennifer A. Hoeting, 2015 .

Rejoinder on: A general science-based framework for dynamical spatio-temporal models

Mevin B. Hooten, Christopher K. Wikle, M. Hooten, 2010 .

A guide to Bayesian model checking for ecologists

Mevin B. Hooten, Perry J. Williams, Devin S. Johnson, 2018, Ecological Monographs.

Assessing potential health risks to fish and humans using mercury concentrations in inland fish from across western Canada and the United States.

M. Hooten, J. Davis, J. Ackerman, 2016, The Science of the total environment.

Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data

M. Hooten, Xinyi Lu, H. Scharf, 2022, International Statistical Review.

Hierarchical approaches for flexible and interpretable binary regression models

Xinyi Lu, Mevin B. Hooten, Perry J. Williams, 2019, 1905.05242.

Bayesian Models: A Statistical Primer for Ecologists

Mevin B. Hooten, M. Hooten, N. Hobbs, 2015 .

Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling

Brian M. Brost, M. Hooten, Devin S. Johnson, 2022, Journal of Agricultural, Biological and Environmental Statistics.

Individual heterogeneity influences the effects of translocation on urban dispersal of an invasive reptile

Abigail B. Feuka, M. Hooten, L. Bailey, 2022, Movement Ecology.

Hierarchical computing for hierarchical models in ecology

Mevin B. Hooten, Hanna M. McCaslin, Abigail B. Feuka, 2020, Methods in Ecology and Evolution.

Nonlinear reaction–diffusion process models improve inference for population dynamics

Mevin B. Hooten, Perry J. Williams, Jamie N. Womble, 2019, Environmetrics.

The rise of an apex predator following deglaciation

Mevin B. Hooten, Jamie N. Womble, Perry J. Williams, 2019, Diversity and Distributions.

A hierarchical Bayesian approach for handling missing classification data

Alison C Ketz, Therese L Johnson, Mevin B Hooten, 2019, Ecology and evolution.

Estimating lake–climate responses from sparse data: An application to high elevation lakes

James J. Roberts, M. Hooten, Brett M. Johnson, 2019, Limnology and Oceanography.

Making Recursive Bayesian Inference Accessible

Mevin B. Hooten, Devin S. Johnson, Brian M. Brost, 2018, The American Statistician.

Running on empty: recharge dynamics from animal movement data.

Mevin B Hooten, Henry R Scharf, Juan M Morales, 2018, Ecology letters.

Accounting for location uncertainty in azimuthal telemetry data improves ecological inference

Mevin B Hooten, Brian D Gerber, Amy J Davis, 2018, bioRxiv.

Estimating occupancy and abundance using aerial images with imperfect detection

Mevin B. Hooten, Perry J. Williams, Jamie N. Womble, 2017 .

Characterizing Migration Dynamics with Convolution-Based Movement Models

Mevin B. Hooten, Trevor J. Hefley, Henry R. Scharf, 2017 .

Animal movement models for migratory individuals and groups

Mevin B. Hooten, Trevor J. Hefley, Henry R. Scharf, 2017, 1708.09472.

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

Mevin B Hooten, Trevor J Hefley, Daniel P Walsh, 2017, Ecology letters.

The basis function approach for modeling autocorrelation in ecological data.

Mevin B Hooten, Perry J. Williams, Kristin M Broms, 2016, Ecology.

When can the cause of a population decline be determined?

Mevin B Hooten, John M Drake, Trevor J Hefley, 2016, Ecology letters.

Combining statistical inference and decisions in ecology.

Mevin B Hooten, Perry J. Williams, Perry J Williams, 2016, Ecological applications : a publication of the Ecological Society of America.

Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias

Evan H. Campbell Grant, Viviana Ruiz-Gutierrez, Melvin B. Hooten, 2016 .

Hierarchical animal movement models for population‐level inference

Jacob S. Ivan, Mevin B. Hooten, Ephraim M. Hanks, 2016, 1606.09585.

Hierarchical Species Distribution Models

M. Hooten, T. Hefley, 2016, Current Landscape Ecology Reports.

A functional model for characterizing long‐distance movement behaviour

Jacob S. Ivan, Mevin B. Hooten, Frances E. Buderman, 2016 .

Forecasting the Effects of Fertility Control on Overabundant Ungulates: White-Tailed Deer in the National Capital Region

Mevin B. Hooten, Scott T. Bates, M. Hooten, 2015, PloS one.

State‐space modeling to support management of brucellosis in the Yellowstone bison population

Mevin B. Hooten, N. Thompson Hobbs, John J. Treanor, 2015 .

A guide to Bayesian model selection for ecologists

Mevin B. Hooten, N. T. Hobbs, M. Hooten, 2015 .

Model selection and assessment for multi-species occupancy models.

Mevin B Hooten, Kristin M Broms, Ryan M Fitzpatrick, 2016, Ecology.

Spatial autoregressive models for statistical inference from ecological data

Erin E. Peterson, Mevin B. Hooten, Marie-Josée Fortin, 2018 .

Bayesian sediment transport model for unisize bed load

Mevin B. Hooten, David K. Stevens, M. L. Schmelter, 2011 .

Bias correction of bounded location errors in presence‐only data

Mevin B. Hooten, Trevor J. Hefley, Brian M. Brost, 2017 .

The Bayesian Group Lasso for Confounded Spatial Data

M. Hooten, D. Walsh, E. Hanks, 2017 .

Optimal spatio-temporal hybrid sampling designs for ecological monitoring

Mevin B. Hooten, Christopher K. Wikle, Steven L. Sheriff, 2009 .

Iterative near-term ecological forecasting: Needs, opportunities, and challenges

Mevin B Hooten, Catherine S. Jarnevich, Michael C Dietze, 2018, Proceedings of the National Academy of Sciences.

Rapid proliferation of the parasitic copepod, Salmincola californiensis (Dana), on kokanee salmon, Oncorhynchus nerka (Walbaum), in a large Colorado reservoir.

M. Hooten, J. Lepak, A. Hansen, 2021, Journal of fish diseases.

Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations.

Mevin B Hooten, Brian D Gerber, William L Kendall, 2015, The Journal of animal ecology.

Practical guidance on characterizing availability in resource selection functions under a use-availability design.

Mevin B Hooten, George Wittemyer, Joseph M Northrup, 2013, Ecology.

Bridging implementation gaps to connect large ecological datasets and complex models

M. Hooten, A. Foster, C. Roland, 2021, Ecology and evolution.

Linking male reproductive success to effort within and among nests in a co‐breeding stream fish

M. Hooten, Seoghyun Kim, Y. Kanno, 2022, Ethology.

An Accessible Method for Implementing Hierarchical Models with Spatio-Temporal Abundance Data

Mevin B. Hooten, Beth E. Ross, David N. Koons, 2012, PloS one.

Homogenization of Large-Scale Movement Models in Ecology with Application to the Spread of Chronic Wasting Disease in Mule Deer

Mevin B. Hooten, James A. Powell, M. Hooten, 2012 .

Shifts in the spatio-temporal growth dynamics of shortleaf pine

Mevin B. Hooten, Christopher K. Wikle, M. Hooten, 2007, Environmental and Ecological Statistics.

Large‐scale movement behavior in a reintroduced predator population

Jacob S. Ivan, Tanya M. Shenk, Frances E. Buderman, 2018 .

Dynamic occupancy models for explicit colonization processes.

Mevin B Hooten, Devin S Johnson, Res Altwegg, 2016, Ecology.

Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features.

Mevin B Hooten, Brian M Brost, Brian M. Brost, 2017, Ecology.

Homogenization, sex, and differential motility predict spread of chronic wasting disease in mule deer in southern Utah

M. Hooten, J. Powell, M. Garlick, 2014, Journal of mathematical biology.

Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression

M. Hooten, S. Goring, John R. Tipton, 2017 .

Reflected Stochastic Differential Equation Models for Constrained Animal Movement

M. Hooten, E. Hanks, Devin S. Johnson, 2017, bioRxiv.

Imputation Approaches for Animal Movement Modeling

Mevin B. Hooten, Henry R. Scharf, Devin S. Johnson, 2017, Journal of Agricultural, Biological and Environmental Statistics.

Animal Movement: Statistical Models for Telemetry Data

Brett T. McClintock, Mevin B. Hooten, Juan M. Morales, 2017 .

Guest Editor’s Introduction to the Special Issue on “Animal Movement Modeling”

M. Hooten, R. Langrock, R. King, 2017, Journal of Agricultural, Biological and Environmental Statistics.

Guest Editor’s Introduction to the Special Issue on “Animal Movement Modeling”

Roland Langrock, Mevin B. Hooten, Ruth King, 2017 .

Basis Function Models for Animal Movement

Mevin B. Hooten, Devin S. Johnson, M. Hooten, 2016, 1601.05408.

Animal movement constraints improve resource selection inference in the presence of telemetry error.

Mevin B Hooten, Ephraim M Hanks, Brian M Brost, 2015, Ecology.

Agent-Based Inference for Animal Movement and Selection

Mevin B. Hooten, Ephraim M. Hanks, John H. Lowry, 2010 .

Selecting ecological models using multi-objective optimization

Mevin B. Hooten, William L. Kendall, Perry J. Williams, 2019, Ecological Modelling.

Design and Analysis of Long-term Ecological Monitoring Studies: Optimal spatio-temporal monitoring designs for characterizing population trends

Mevin B. Hooten, Christopher K. Wikle, Beth E. Ross, 2012 .

Accounting for imperfect detection in Hill numbers for biodiversity studies

Mevin B. Hooten, M. Hooten, Kristin M. Broms, 2015 .

Assessing First-Order Emulator Inference for Physical Parameters in Nonlinear Mechanistic Models

Mevin B. Hooten, Christopher K. Wikle, William B. Leeds, 2011 .

Bringing Bayesian Models to Life

Mevin B. Hooten, Trevor J. Hefley, M. Hooten, 2019 .

The influence of external subsidies on diet, growth and Hg concentrations of freshwater sport fish: implications for management and fish consumption advisories

M. Hooten, Brett M. Johnson, J. Lepak, 2012, Ecotoxicology.

Assessing North American influenza dynamics with a statistical SIRS model.

Mevin B. Hooten, Jessica Anderson, Lance A. Waller, 2010, Spatial and spatio-temporal epidemiology.

Improving Wildlife Population Inference Using Aerial Imagery and Entity Resolution

M. Hooten, J. Womble, Andee Kaplan, 2022, Journal of Agricultural, Biological and Environmental Statistics.

Improving Wildlife Population Inference Using Aerial Imagery and Entity Resolution

M. Hooten, J. Womble, Andee Kaplan, 2022, Journal of Agricultural, Biological and Environmental Statistics.

Assessing conditions influencing the longitudinal distribution of exotic brown trout (Salmo trutta) in a mountain stream: a spatially-explicit modeling approach

M. Hooten, M. Prates, P. Budy, 2017, Biological Invasions.

Spatial occupancy models for large data sets

Mevin B. Hooten, Bruce A. Pond, Devin S. Johnson, 2013 .

Searching for refuge: A framework for identifying site factors conferring resistance to climate‐driven vegetation change

M. Hooten, H. Scharf, D. Swanson, 2022, Diversity and Distributions.

Integrated Population Models

M. Hooten, T. Hefley, 2019, Bringing Bayesian Models to Life.

An integrated modeling approach to estimating Gunnison sage-grouse population dynamics: combining index and demographic data

M. Hooten, A. Davis, M. L. Phillips, 2014, Ecology and evolution.

Combined Effects of Climate, Predation, and Density Dependence on Scaup Population Dynamics

Beth E. Ross, M. Hooten, D. Koons, 2015 .

Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence.

Mevin B Hooten, Ephraim M Hanks, M. Hooten, 2011, Ecological applications : a publication of the Ecological Society of America.

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

Mevin B. Hooten, Christopher K. Wikle, David R. Larsen, 2003, Landscape Ecology.

Extreme site fidelity as an optimal strategy in an unpredictable and homogeneous environment

Brian D. Gerber, Mevin B. Hooten, Christopher P. Peck, 2019, Functional Ecology.

Hierarchical Spatial Models

Mevin B. Hooten, Christopher K. Wikle, Ali Arab, 2008, Encyclopedia of GIS.

Reflected Stochastic Differential Equation Models for Constrained Animal Movement

Mevin B. Hooten, Ephraim M. Hanks, Devin S. Johnson, 2017, Journal of Agricultural, Biological and Environmental Statistics.

Bridging the gap between movement data and connectivity analysis using the time-explicit Step Selection Function (tSSF)

M. Hooten, N. Attias, R. Fletcher, 2023, bioRxiv.

Title: Bridging the gap between movement data and connectivity analysis using the time-explicit

M. Hooten, N. Attias, R. Fletcher, 2023 .

Melding wildlife surveys to improve conservation inference

M. Hooten, M. Koslovsky, Kent A. Fricke, 2022, Biometrics.

Prey-mediated avoidance of an intraguild predator by its intraguild prey

M. Hooten, J. Shivik, T. Blankenship, 2010, Oecologia.

When to be discrete: the importance of time formulation in understanding animal movement

Brett T McClintock, Mevin B Hooten, Devin S Johnson, 2014, Movement Ecology.

Estimating animal resource selection from telemetry data using point process models.

Mevin B Hooten, Devin S Johnson, Carey E Kuhn, 2013, The Journal of animal ecology.

Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars

Jacob S. Ivan, M. Hooten, E. Hanks, 2018, Movement ecology.

Animal movement models with mechanistic selection functions

M. Hooten, J. Powell, Xinyi Lu, 2019, Spatial Statistics.

At–Sea Behavior Varies with Lunar Phase in a Nocturnal Pelagic Seabird, the Swallow-Tailed Gull

Vsevolod Afanasyev, Martin Wikelski, Mevin Hooten, 2013, PloS one.

Model‐based clustering reveals patterns in central place use of a marine top predator

Brian M. Brost, BRIAN M. BROST, MEVIN B. HOOTEN, 2020, Ecosphere.

Linking Male Reproductive Success to Effort Within and Among Nests in a Co-Breeding Stream Fish

M. Hooten, Seoghyun Kim, Y. Kanno, 2021 .

Computationally Efficient Statistical Differential Equation Modeling Using Homogenization

Mevin B. Hooten, James A. Powell, M. Hooten, 2013 .

Improving inferences about private land conservation by accounting for incomplete reporting

M. Hooten, M. Schwartz, M. Lubell, 2020, Conservation biology : the journal of the Society for Conservation Biology.

Process convolution approaches for modeling interacting trajectories

Mevin B. Hooten, Henry R. Scharf, Devin S. Johnson, 2017, 1703.02112.

Statistical Challenges in Agent-Based Modeling

Mevin B. Hooten, David L. Banks, M. Hooten, 2021, The American Statistician.

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, M. Hooten, 2008, Environmental and Ecological Statistics.

Spatially structured statistical network models for landscape genetics

Jay M. Ver Hoef, Erin E. Peterson, Mevin B. Hooten, 2019, Ecological Monographs.

Predicting sport fish mercury contamination in heavily managed reservoirs: Implications for human and ecological health

M. Hooten, Brett M. Johnson, J. Lepak, 2023, PLoS ONE.

Zero-Inflated Models

M. Hooten, T. Hefley, 2019, Bringing Bayesian Models to Life.

A model‐based approach to wildland fire reconstruction using sediment charcoal records

M. Hooten, A. Finley, J. McLachlan, 2016, 1612.02382.

Importance Sampling

M. Hooten, T. Hefley, 2019, Bringing Bayesian Models to Life.

Process convolution approaches for modeling interacting trajectories

M. Hooten, J. Durban, Devin S. Johnson, 2017, 1703.02112.

Statistical Implementations of Agent‐Based Demographic Models

Michael Schwob, Michael R. Schwob, Mevin Hooten, 2020, International statistical review = Revue internationale de statistique.

Reconciling resource utilization and resource selection functions.

Mevin B Hooten, Devin S Johnson, Ephraim M Hanks, 2013, The Journal of animal ecology.

Geostatistical capture-recapture models

Jacob S. Ivan, Michael R. Schwob, M. Hooten, 2023, 2305.04141.

Multistage hierarchical capture–recapture models

Jacob S. Ivan, Michael R. Schwob, M. Hooten, 2022, Environmetrics.

Mechanistic spatial models for heavy metal pollution

Wilson J. Wright, M. Hooten, P. Neitlich, 2022, Environmetrics.

Clonal dynamics in western North American aspen (Populus tremuloides)

M. Hooten, V. Hipkins, K. Mock, 2008, Molecular ecology.

Quantile Regression

M. Hooten, R. Koenker, T. Hefley, 2001 .

Statistical Analysis of Environmental Space-Time Processes

Mevin B Hooten, M. Hooten, 2007 .

Model selection and assessment for multi-species occupancy models.

M. Hooten, Kristin M. Broms, R. Fitzpatrick, 2016, Ecology.

Embracing asymmetry in nature: How to account for skewness in ecological data

Perry J. Williams, M. Hooten, Xinyi Lu, 2023, Ecological Informatics.

Homogenization of Large-Scale Movement Models in Ecology

M. Hooten, M. Garlick, James A. Powell, 2011, Bulletin of mathematical biology.

Informing management of recovering predators and their prey with ecological diffusion models

M. Hooten, J. Womble, G. Esslinger, 2023, Frontiers in Ecology and the Environment.

Revealing the extent of sea otter impacts on bivalve prey through multi-trophic monitoring and mechanistic models.

M. Hooten, D. Monson, D. Esler, 2023, The Journal of animal ecology.

Diffusion modeling reveals effects of multiple release sites and human activity on a recolonizing apex predator

M. Hooten, J. Womble, G. Esslinger, 2021, Movement ecology.

Bayesian Models: A Statistical Primer for Ecologists

M. Hooten, N. Hobbs, 2015 .

Bias correction of bounded location errors in presence‐only data

Brian M. Brost, M. Hooten, T. Hefley, 2017 .

The basis function approach for modeling autocorrelation in ecological data.

Perry J. Williams, Brian M. Brost, M. Hooten, 2016, Ecology.

The State of Spatial and Spatio-Temporal Statistical Modeling

Mevin B. Hooten, M. Hooten, 2011 .

Quantile Regression

M. Hooten, R. Koenker, T. Hefley, 2001 .

Homogenization, sex, and differential motility predict spread of chronic wasting disease in mule deer in southern Utah

Mevin B Hooten, James A Powell, M. Hooten, 2013, Journal of Mathematical Biology.

Composite Dyadic Models for Spatio-Temporal Data

Michael R. Schwob, M. Hooten, Vagheesh M. Narasimhan, 2023, 2311.01341.

Bridging the gap between movement data and connectivity analysis using the Time-Explicit Habitat Selection (TEHS) model

M. Hooten, N. Attias, J. Cullen, 2024, Movement ecology.