Xiao X., E.P. White, M.B. Hooten, and S.L. Durham. (2011). On the use of log-transformation vs. nonlinear regression for analyzing biological power-laws. Ecology, 92: 1887-1894.
|
December 2011
|
Wilson, T.L., J.B. Odei, M.B. Hooten, and T.C. Edwards (2010). Hierarchical spatial models for predicting pygmy rabbit distribution and relative abundance. Journal of Applied Ecology, 47: 401-409.
|
December 2010
|
Wilson, R.R., T.L. Blankenship, M.B. Hooten, and J.A. Shivik. (2010). Prey-mediated avoidance of an intraguild predator by its intraguild prey. Oecologia, 164: 921-929.
|
December 2010
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Wilson, R.R., M.B. Hooten, B.N. Strobel, and J.A. Shivik (2010). Accounting for individuals, uncertainty, and multi-scale clustering in core area estimation. Journal of Wildlife Management, 74: 1343-1352.
|
December 2010
|
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, and M.R. Bower. (2018). Monitoring dynamic spatio-temporal ecological processes optimally. Ecology, 99: 524-535.
|
May 2018
|
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017). Estimating occupancy and abundance using aerial images with imperfect detection. Methods in Ecology and Evolution, 8: 1679-1689.
|
July 2017
|
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017). An integrated data model to estimate spatio-temporal occupancy, abundance, and colonization dynamics. Ecology, 98: 328-336.
|
March 2017
|
Williams, P.J., M.B. Hooten, G.G. Esslinger, J.N. Womble, J. Bodkin, and M.R. Bower. (2019). The rise of an apex predator following deglaciation. Diversity and Distributions, 25: 895-908.
|
May 2019
|
Williams, P.J. and M.B. Hooten. (2016). Combining statistical inference and decisions in ecology. Ecological Applications, 26: 1930-1942.
|
December 2016
|
Williams, P. J., W. L. Kendall, and M. B. Hooten. 2019.
Choosing ecological models using multi-objective optimization. Ecological Modelling 404:21-26.
|
July 2019
|
Wikle, C.K., W.B. Leeds, and M.B. Hooten. (2016). Models for ecological models: Ocean primary productivity. Chance, 29 (2): 23.
|
December 2016
|
Wikle, C.K. and M.B. Hooten (2010). A general science-based framework for nonlinear spatio-temporal dynamical models. TEST, 19: 417-451.
|
December 2010
|
Wikle, C.K. and M.B. Hooten (2006). Hierarchical Bayesian Spatio-Temporal Models for Population Spread. Clark, J.S. and A. Gelfand (eds). In: Applications of Computational Statistics in the Environmental Sciences: Hierarchical Bayes and MCMC Methods. Oxford University Press.
|
December 2006
|
Ver Hoef, J.M., E.M. Hanks, and M.B. Hooten. (2018). On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models. Spatial Statistics, 25: 68-85.
|
July 2018
|
Ver Hoef, J.M., E.E. Peterson, M.B. Hooten, E.M. Hanks, and M-J. Fortin. (2018). Spatial autoregressive models for statistical inference from ecological data. Ecological Monographs, 88: 36-59.
|
March 2018
|
Tredennick, A.T., M.B. Hooten, and P.B. Adler. (2017). Do we need demographic data to forecast the state of plant populations? Methods in Ecology and Evolution, 8: 541-551.
|
June 2017
|
Tredennick, A.T., M.B. Hooten, C.L. Aldridge, C.G. Homer, A. Kleinhesselink, and P.B. Adler. (2016).
Forecasting climate change impacts on plant populations over large spatial extents. Ecosphere,7: e01525.
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December 2016
|
Tipton, J.R., M.B. Hooten, C. Nolan, R.K. Booth, and J. McLachlan. (2019). Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction. Annals of Applied Statistics, 13: 2363-2388.
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February 2019
|
Tipton, J., M.B. Hooten, and S. Goring. (2017). Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression. Advances in Statistical Climatology, Meteorology and Oceanography, 3: 1-16.
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January 2017
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Tipton, J., M.B. Hooten, N. Pederson, M. Tingley, and D. Bishop. (2016). Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models. Environmetrics, 27: 42-54.
|
December 2016
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Steger, C., B. Butt, and M.B. Hooten. (2017). Safari Science: Assessing the reliability of citizen science data for wildlife surveys. Journal of Applied Ecology, 54: 2053-2062.
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October 2017
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Small, R.J., B.M. Brost, M.B. Hooten, M. Castellote, and J. Mondragon. (2017). Anthropogenic noise in Cook Inlet beluga critical habitat: Potential for spatial displacement. Endangered Species Research, 32: 43-57.
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February 2017
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Schmelter, M.L., P. Wilcock, M.B. Hooten, and D.K. Stevens. (2015). Multi-fraction Bayesian sediment transport model. Journal of Marine Science and Engineering, 3: 1066-1092.
|
September 2015
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Schmelter, M.L., M.B. Hooten, and D.K. Stevens. (2011). Bayesian sediment transport model for uni-size bedload. Water Resources Research, 47: W11514.
|
December 2011
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Scharf, H.R., M.B. Hooten, and D.S. Johnson. (2017). Imputation approaches for animal movement modeling. Journal of Agricultural, Biological, and Environmental Statistics, 22: 335-352.
|
June 2017
|
Scharf, H.R., M.B. Hooten, R.R. Wilson, G.M. Durner, T.C. Atwood (2019). Accounting for phenology in the analysis of animal movement. Biometrics, 75: 810-820.
|
September 2019
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Scharf, H.R., M.B. Hooten, D.S. Johnson, and J. Durban. (2018). Process convolution approaches for modeling interacting trajectories. Environmetrics, 29: e2487.
|
February 2018
|
Scharf, H.R., M.B. Hooten, B.K. Fosdick, D.S. Johnson, J.M. London, and J.W. Durban. (2016). Dynamic social networks based on movement. Annals of Applied Statistics,10: 2182-2202.
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December 2016
|
Ruiz-Gutierrez, V., M.B. Hooten, and E.H. Campbell Grant. (2016). Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias. Methods in Ecology and Evolution, 7: 900-909.
|
August 2016
|
Ross, B.E., M.B. Hooten, and D.N. Koons. (2012). An accessible method for implementing hierarchical models with spatio-temporal abundance data. PLoS One, 7: e49395.
|
November 2012
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Ross, B.E., M.B. Hooten, J-M. DeVink, and D.N. Koons. (2015). Combined effects of climate, predation, and density dependence on Greater and Lesser Scaup population dynamics. Ecological Applications, 25: 1606-1617.
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September 2015
|
Roberts, J.J., K.D. Fausch, D.P. Peterson, and M.B. Hooten. (2013). Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin. Global Change Biology, 19: 1383-1398.
|
March 2013
|
Raiho, A., M.B. Hooten, S. Bates, and N.T. Hobbs. (2015). Forecasting the effects of fertility control on overabundant ungulates: White-tailed deer in the National Capital region. PLoS One, 10: e0143122.
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December 2015
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Peterson, E.E., E.M. Hanks, M.B. Hooten, J.M. Ver Hoef, and M.-J. Fortin. (2019). Spatially structured statistical network models for landscape genetics. Ecological Monographs, 89: e01355.
|
April 2019
|
Pejchar, L., M.B. Hooten, and G.Daily. (2018). Unique effects of large-scale forest restoration on native and exotic birds in Hawaii. Diversity and Distribution, 24: 811-819.
|
May 2018
|
Odei, J.B., M.B. Hooten, and J. Jin. (2009). Hierarchical spatio-temporal models for intermountain snow water storage. In JSM Proceedings, Section on Statistics and the Environment. Alexandria, VA: American Statistical Association. 870-878.
|
December 2009
|
Northrup, J.M., M.B. Hooten, C.R. Anderson, and G. Wittemyer. (2013). Practical guidance on characterizing availability in resource selection functions under a use-availability design. Ecology, 94: 1456-1463. Ecology, In Press.
|
July 2013
|
Northrup, J.M., C.R. Anderson, M.B. Hooten, and G. Wittemyer. (2016). Movement reveals scale-dependence in habitat selection of a large ungulate. Ecological Applications, 26: 2746-2757.
|
January 2016
|
Nippert, J.B., M.B. Hooten, D.R. Sandquist, and J.K. Ward (2010). A Model for predicting El Nino events using tree-ring cellulose del18O. Journal of Geophysical Research, 115: 1-9.
|
December 2010
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Mock, K.E., C.A. Rowe, M.B. Hooten, J. DeWoody, and V.D. Hipkins (2008). Clonal dynamics in western North American aspen (Populus tremuloides). Molecular Ecology, 17: 4827-4844.
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December 2008
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Meredith, C.S., P. Budy, and M. Hooten, and M. O. Prates. 2016. Assessing abiotic conditions influencing the longitudinal distribution of exotic brown trout in a mountain stream: a spatially-explicit modeling approach. Biological Invasions. DOI 10.1007/s10530-016-1322-z. USGS IP-069503
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Abstract
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November 2016
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McClintock, B.T., D.S. Johnson, M.B. Hooten, J.M. Ver Hoef, and J.M. Morales. (2014). When to be discrete: the importance of time formulation in understanding animal movement. Movement Ecology, 2: 21.
|
October 2014
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Lu, X., P.J. Williams, M.B. Hooten, J.A. Powell, J.N. Womble, and M.R. Bower. (2020). Nonlinear reaction-diffusion process models improve inference for population dynamics. Environmetrics, 31: e2604.
|
February 2020
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Lepak, J.M., M.B. Hooten, and B.M. Johnson. (2012). The influence of marine subsidies on diet, growth, and Hg concentrations of freshwater sport fish: tertiary impacts on fisheries and human health. Ecotoxicology, 21: 1878-1888.
|
October 2012
|
Lepak, J.M., M.B. Hooten, C.A. Eagles-Smith, M.A. Lutz, M.T. Tate, J.T. Ackerman, J.J. Willacker Jr., D.C. Evers, J. Davis, C.F. Pritz, J.G. Wiener. (2016). Assessing mercury concentrations in fish across western Canada and the United States: potential health risks to fish and humans. Science of the Total Environment, 571: 342-354.
|
December 2016
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Lepak, J.M., C.N. Cathcart, and M.B. Hooten. (2012). Otolith weight as a predictor of age in kokanee salmon (Oncorhynchus nerka) from four Colorado reservoirs. Canadian Journal of Fisheries and Aquatic Sciences, 69: 1569-1575.
|
October 2012
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Larsen, R.T., J.A. Bissonette, J.T. Flinders, M.B. Hooten, and T.L. Wilson (2010). Summer spatial patterning of Chukars in relation to free water in Western Utah. Landscape Ecology, 25: 135-145.
|
December 2010
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Ketz, A.C., T.L. Johnson, R.J. Monello, J. Mack, J.L. George, B.R. Kraft, M.A. Wild, M.B. Hooten, and N.T. Hobbs. (2018). Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements. Ecological Applications, 28: 816-825.
|
January 2018
|
Ketz, A.C., T.L. Johnson, M.B. Hooten, and N.T. Hobbs. (2019). A hierarchical Bayesian approach for handling missing classification data. Ecology and Evolution, 9: 3130-3140.
|
January 2019
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Johnson, D.S., P.B. Conn, M.B. Hooten, J. Ray, and B. Pond. (2013). Spatial occupancy models for large data sets. Ecology, 94: 801-808.
|
April 2013
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Johnson, D.S., M.B. Hooten, and C.E. Kuhn. (2013). Estimating animal resource selection from telemetry data using point process models. Journal of Animal Ecology, 82: 1155-1164.
|
November 2013
|
Itter, M.S., A.O. Finley, M.B. Hooten, P.E. Higuera, J.R. Marlon, R. Kelly, and J.S. McLachlan. (2018). A model-based approach to wildland fire reconstruction using sediment charcoal records. Environmetrics, 22: e2450.
|
April 2018
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Hooten, M.B., X. Lu, M.J. Garlick, and J.A. Powell. (2020). Animal movement models with mechanistic selection functions. Spatial Statistics, 37: 100406.
|
February 2020
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Hooten, M.B., W.B. Leeds, J. Fiechter, and C.K. Wikle. (2011). Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models. Journal of Agricultural, Biological, and Environmental Statistics, 16: 475-494.
|
December 2011
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Hooten, M.B., M.J. Garlick, and J.A. Powell. (2013). Computationally efficient statistical differential equation modeling using homogenization. Journal of Agricultural, Biological and Environmental Statistics, 18: 405-428.
|
September 2013
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Hooten, M.B., M.J. Garlick, and J.A. Powell. (2009). Advantageous change of support in inverse implementations of statistical differential equation models. In JSM Proceedings, Section on Bayesian Statistical Science. Alexandria, VA: American Statistical Association. 1847-1857.
|
December 2009
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Hooten, M.B., Larsen, D.R., and C.K. Wikle, (2003). Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model. Landscape Ecology , 18, 487-502.
|
December 2003
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Hooten, M.B., Johnson, D.S., Hanks, E.M., and J.H. Lowry. (2010). Agent-based inference for animal movement and selection. Journal of Agricultural, Biological and Environmental Statistics, 15: 523-538.
|
December 2010
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Hooten, M.B., J.M. Ver Hoef, and E.M. Hanks. (2019). Simultaneous autoregressive (SAR) model. Wiley StatsRef: Statistics Reference Online.
|
September 2019
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Hooten, M.B., H.R. Scharf, and J.M. Morales. (2019). Running on empty: Recharge dynamics from animal movement data. Ecology Letters, 22: 377-389.
|
January 2019
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Hooten, M.B., H.R. Scharf, T.J. Hefley, A. Pearse, and M. Weegman. (2018). Animal movement models for migratory individuals and groups. Methods in Ecology and Evolution, 9: 1692-1705.
|
January 2018
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Hooten, M.B., F.E. Buderman, B.M. Brost, E.M. Hanks, and J.S. Ivan. (2016). Hierarchical animal movement models for population-level inference. Environmetrics, 27: 322-333.
|
December 2016
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Hooten, M.B., E.M. Hanks, D.S. Johnson, and M.W. Alldredge. (2014). Temporal variation and scale in movement-based resource selection functions. Statistical Methodology, 17: 82-98.
|
March 2014
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Hooten, M.B., E.M. Hanks, D.S. Johnson, and M.W. Alldredge. (2013). Reconciling resource utilization and resource selection functions. Journal of Animal Ecology, 82: 1146-1154.
|
April 2013
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Hooten, M.B., D.S. Johnson, B.T. McClintock, and J.M. Morales. (2017). Animal Movement: Statistical Models for Telemetry Data. Chapman and Hall\CRC.
|
February 2017
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Hooten, M.B., C.K. Wikle, S. Sheriff, and J. Rushin (2009). Optimal spatio-temporal hybrid sampling designs for ecological monitoring. Journal of Vegetation Science, 20: 639-649.
|
December 2009
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Hooten, M.B., C.K. Wikle, R.M. Dorazio, and J.A. Royle (2007). Hierarchical spatio-temporal matrix models for characterizing invasions. Biometrics, 63: 558-567.
|
December 2007
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Hooten, M.B., C.K. Wikle, L.D. Carlile, R. Warner, and D. Pitts (2009). Hierarchical population models for the red-cockaded woodpecker. Rich, T.D., M. C. Arizmendi, D. Demarest and C. Thompson (eds). Tundra to Tropics: Connecting Birds, Habitats and People. Proceedings of the 4th International Partners in Flight Conference, 13-16 February 2008. McAllen, TX. University of Texas-Pan American Press. Edinburg, TX. pgs. 354-364.
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December 2009
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Hooten, M.B., B.E. Ross, and C.K. Wikle. (2012). Optimal spatio-temporal monitoring designs for characterizing population trends. Gitzen, R.A., J.J. Millspaugh, A.B. Cooper, and D.S. Licht (eds). In: Design and Analysis of Long-Term Ecological Monitoring Studies. Cambridge University Press.
|
May 2012
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Hooten, M.B., Anderson, J., and L.A. Waller. (2010). Assessing North American influenza dynamics with a statistical SIRS model. Spatial and Spatio-Temporal Epidemiology, 1: 177-185.
|
December 2010
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Hooten, M.B. and T.J. Hefley. (2019). Bringing Bayesian Models to Life. Chapman & Hall/CRC.
|
June 2019
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Hooten, M.B. and N.T. Hobbs. (2015). A guide to Bayesian model selection for ecologists. Ecological Monographs. 85: 3-28.
|
February 2015
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Hooten, M.B. and E. Cooch. (2019). Comparing ecological models. Marcot, B., A. Tri, and L. Brennan (eds). In: Quantitative Analysis in Wildlife Science. Johns Hopkins University Press.
|
August 2019
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Hooten, M.B. and D.S. Johnson. (2019). Modeling Animal Movement. Gelfand, A.E., M. Fuentes, and J.A. Hoeting (eds). In Handbook of Environmental and Ecological Statistics. Chapman & Hall/CRC.
|
January 2019
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Hooten, M.B. and D.S. Johnson. (2017). Basis function models for animal movement. Journal of the American Statistical Association, 112: 578-589.
|
October 2017
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Hooten, M.B. and C.K. Wikle (2010). Statistical Agent-Based Models for Discrete Spatio-Temporal Systems. Journal of the American Statistical Association, 105: 236-248.
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December 2010
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Hooten, M.B. and C.K. Wikle (2008). A Hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove. Environmental and Ecological Statistics, 15(1): 59-70.
|
December 2008
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Hooten, M.B. and C.K. Wikle (2007). Shifts in the spatio-temporal growth dynamics of shortleaf pine. Environmental and Ecological Statistics, 14(3): 207-227.
|
December 2007
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Hooten, M.B. and C.K. Wikle (2007). Invasions, Epidemics, and Binary Data in a Cellular World. 2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 3999-4010.
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December 2007
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Hooten, M.B. and C.K. Wikle (2006). Spatio-temporal processes in ecology: A gentle introduction. Journal of Biogeography 33, 1150-1152. Book Review: Reiners, W.A. and K.L. Driese. (2004) Transport processes in nature: propagation of ecological influences through environmental space. Cambridge University Press.
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December 2006
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Hooten, M.B. (2011). The State of Spatial and Spatio-Temporal Statistical Modeling. In: Predictive Modeling in Landscape Ecology. Drew A., F. Huettman, and Y. Wiersma (eds). In: Predictive Modeling in Landscape Ecology.
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December 2011
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Hooten, M.B. (2007). Journal of the American Statistical Association. Book Review: Le, N.D. and J.V. Zidek. (2006) Statistical Analysis of Environmental Space-Time Processes. Springer-Verlag.
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December 2007
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Hooten, M.B, R.R. Wilson, and J.A. Shivik (2008). Hard core or soft core: On the characterization of animal space use. 2008 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 1301-1308.
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December 2008
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Hobbs, N.T., C. Geremia, J. Treanor, R. Wallen, P.J. White, M.B. Hooten, and J.C. Rhyan. (2015). State-space modeling to support adaptive management of brucellosis in the Yellowstone bison population. Ecological Monographs, 85: 525-556.
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November 2015
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Hobbs, N.T. and M.B. Hooten. (2015). Bayesian Models: A Statistical Primer for Ecologists. Princeton University Press.
|
December 2015
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Hefley, T.J., M.B. Hooten, R.E. Russell, D.P. Walsh, and J. Powell. (2017). When mechanism matters: Forecasting the spread of disease using ecological diffusion. Ecology Letters, 20: 640-650.
|
September 2017
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Hefley, T.J., M.B. Hooten, J.M. Drake, R.E. Russell, and D.P. Walsh. (2016). When can the cause of a population decline be determined? Ecology Letters, 19: 1353-1362.
|
December 2016
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Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017). Dynamic spatio-temporal models for spatial data. Spatial Statistics, 20: 206-220.
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March 2017
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Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017). The Bayesian spatial group lasso. Journal of Agricultural, Biological, and Environmental Statistics, 22: 42-59.
|
February 2017
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Hefley, T.J., K.M. Broms, B.M. Brost, F.E. Buderman, S.L. Kay, H.R. Scharf, J.R. Tipton, P.J. Williams, and M.B. Hooten. (2017). The basis function approach to modeling dependent ecological data. Ecology, 98: 632-646.
|
March 2017
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Hefley, T.J., B.M. Brost, and M.B. Hooten. (2017). Bias correction of bounded location errors in presence-only data. Methods in Ecology and Evolution, 8: 1566-1573.
|
January 2017
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Hefley, T.J. and M.B. Hooten. (2016). Hierarchical species distribution models. Current Landscape
Ecology Reports, 1: 87-97.
|
December 2016
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Hefley, T.J. and M.B. Hooten. (2015). On the existence of maximum likelihood estimates for presence-only data. Methods in Ecology and Evolution, 6: 648-655.
|
December 2015
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He, H.S., D.C. Dey, X. Fan, M.B. Hooten, J.M. Kabrick, C.K. Wikle, and Z. Fan (2007). Mapping pre-European settlement vegetation using a hierarchical Bayesian model and GIS. Plant Ecology, 191: 85-94.
|
December 2007
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Hanks, E.M., M.B. Hooten, and M. Alldredge. (2015). Continuous-time discrete-space models for animal movement. Annals of Applied Statistics, 9: 145-165.
|
March 2015
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Hanks, E.M., M.B. Hooten, and F.A. Baker. (2011). Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence. Ecological Applications, 24: 1173-1188.
|
December 2011
|
Hanks, E.M., M.B. Hooten, S.A. Knick, S.J. Oyler-McCance, J.A. Ficke, T.B. Cross, and M.K. Schwartz. (2016). Latent spatial models and sampling design for landscape genetics. Annals of Applied Statistics, 10: 1041-1062.
|
June 2016
|
Hanks, E.M., M.B. Hooten, D.S. Johnson, and J. Sterling. (2011). A velocity-based approach for linking animal telemetry data to environmental drivers of movement. PLoS One, 6(8), e22795.
|
December 2011
|
Hanks, E.M., E. Schliep, M.B. Hooten, and J.A. Hoeting. (2015). Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification. Environmetrics. 26: 243-254.
|
December 2015
|
Hanks, E.M., D.S. Johnson, and M.B. Hooten. (2017). Reflected stochastic differential equation models for constrained animal movement. Journal of Agricultural, Biological, and Environmental Statistics, 22: 353-372.
|
September 2017
|
Hanks, E.M. and M.B. Hooten. (2013). Circuit theory and model-based inference for landscape connectivity. Journal of the American Statistical Association, 108: 22-33.
|
March 2013
|
Haas, S.E., M.B. Hooten, D. Rizzo, and R.K. Meentemeyer. (2011). Forest species diversity reduces disease risk in a generalist plant pathogen invasion. Ecology Letters, 14: 1108-1116.
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December 2011
|
Green, A.W., M.B. Hooten, E.H.C. Grant, and L.L. Bailey. (2013). Evaluating breeding and metamorph occupancy and vernal pool management effects for wood frogs using a hierarchical model. Journal of Applied Ecology, 50: 1116-1123.
|
February 2013
|
Gerber, B.D., M.B. Hooten, C.P. Peck, M.B. Rice, J.H. Gammonley, A.D. Apa, and A.J. Davis. (2019). Extreme site fidelity as an optimal strategy in an unpredictable and homogeneous environment. Functional Ecology, 33: 1695-1707.
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August 2019
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Gerber, B.D., M.B. Hooten, C.P. Peck, M.B. Rice, J.H. Gammonley, A.D. Apa, and A.J. Davis. (2018). Accounting for location uncertainty in azimuthal telemetry data improves ecological inference. Movement Ecology, 6: 14.
|
January 2018
|
Gerber, B. D., W. L. Kendall, M. B. Hooten, J. A. Dubovsky, and R. C. Drewien. 2015. Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations. Journal of Animal Ecology, DOI: 10.1111/1365-2656.12370
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May 2015
|
Garlick, M.J., J.A. Powell, M.B. Hooten, and L. McFarlane. (2011). Homogenization of large-scale movement models in ecology. Bulletin of Mathematical Biology, 73: 2088-2108.
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December 2011
|
Davis, A.J., M.B. Hooten, R.S. Miller, M. Farnsworth, J. Lewis, M. Moxcey, and K.M. Pepin. (2016) Inferring invasive species abundance using removal data from management actions. Ecological Applications, 26: 2339-2346.
|
January 2016
|
Davis, A.J., M.B. Hooten, M.L. Phillips, and P.F. Doherty. (2014). An integrated modeling approach to estimating Gunnison sage-grouse population dynamics: Combining index and demographic data. Ecology and Evolution, 4: 4247-4257.
|
October 2014
|
Dalgleish, H.J., D.N. Koons, M.B. Hooten, C.A. Moffet, and P.B. Adler. (2011). The influence of climate on the demography of three dominant sagebrush steppe plants. Ecology, 92: 75-85.
|
January 2011
|
Cruz, S.M., M.B. Hooten, K.P. Huyvaert, C. Proano, D.J. Anderson, J. Fox, and M. Wikelski. (2013). At–sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull. PLoS One, 8: e56889.
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February 2013
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Conn, P.B., Johnson, D.S., J.M. Ver Hoef, M.B. Hooten, J.M. London, and P.L. Boveng. (2015). Using spatio-temporal models to estimate animal abundance and infer ecological dynamics from survey counts. Ecological Monographs. 85: 235-252.
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December 2015
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Conn, P.B., D.S. Johnson, P.J. Williams, S. Melin, and M.B. Hooten. (2018). A guide to Bayesian model checking for ecologists. Ecological Monographs, 88: 526-542.
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January 2018
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Christianson, K.R., B.M. Johnson, M.B. Hooten, and J.J. Roberts. (2019). Estimating lake-climate responses from sparse data: An application to high elevation lakes. Limnology and Oceanography, 64: 1371-1385.
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April 2019
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Christianson, K.R., B.M. Johnson, M.B. Hooten, and A.S. Denning. (2020). Compound effects of water clarity, inflow, wind, and climate warming on mountain lake thermal regimes. Aquatic Sciences, 82: 6.
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February 2020
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Cangelosi, A.R. and M.B. Hooten (2009). Models for Bounded Systems with Continuous Dynamics. Biometrics, 65: 850-856.
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December 2009
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Cangelosi, A.R. and M.B. Hooten (2007). Approximations to Continuous Dynamical Processes in Hierarchical Models. 2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 1281-1287.
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December 2007
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Buderman, F.E., M.B. Hooten, M.W. Alldredge, E.M. Hanks, and J.S. Ivan. (2018). Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars. Movement Ecology, 6: 22.
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January 2018
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Buderman, F.E., M.B. Hooten, J.S. Ivan, and T.M. Shenk. 2016. A functional model for characterizing long distance movement behavior. Methods in Ecology and Evolution 7(3): 264–273.
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March 2016
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Buderman, F.E., M.B. Hooten, J. Ivan, and T. Shenk. (2018). Large-scale movement behavior in a reintroduced predator population. Ecography, 41: 126-139.
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January 2018
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Brost, B.M., M.B. Hooten, and R.J. Small. (2020). Model-based clustering reveals patterns in central place use of a marine top predator. Ecosphere, 11: e03123.
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May 2020
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Brost, B.M., M.B. Hooten, and R.J. Small. (2017). Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features. Ecology, 98: 12-20.
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January 2017
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Brost, B.M., M.B. Hooten, E.M. Hanks, and R.J. Small. (2015). Animal movement constraints improve resource selection inference in the presence of telemetry error. Ecology, 96: 2590-2597.
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December 2015
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Broms, K.M., M.B. Hooten, and R.M. Fitzpatrick. (2016). Model selection and assessment for multispecies occupancy models. Ecology, 97: 1759-1770.
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December 2016
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Broms, K.M., M.B. Hooten, and R. Fitzpatrick. (2015). Accounting for imperfect detection in Hill numbers for biodiversity studies. Methods in Ecology and Evolution. 6: 99-108.
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December 2015
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Broms, K.M., M.B. Hooten, D.S. Johnson, L.L. Conquest, and R. Altwegg. (2016). Dynamic occupancy models for explicit colonization processes. Ecology, 97: 194-204.
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January 2016
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Arab, A., M.B. Hooten, and C.K. Wikle (2007). Hierarchical Spatial Models. In: Encyclopedia of Geographical Information Science. Springer.
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December 2007
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