| A guide to Bayesian model selection for ecologists MB Hooten, NT Hobbs Ecological monographs 85 (1), 3-28, 2015 | 906 | 2015 |
| Iterative near-term ecological forecasting: Needs, opportunities, and challenges MC Dietze, A Fox, LM Beck-Johnson, JL Betancourt, MB Hooten, ... Proceedings of the National Academy of Sciences 115 (7), 1424-1432, 2018 | 569 | 2018 |
| Bayesian models: a statistical primer for ecologists NT Hobbs, MB Hooten Princeton University Press, 2015 | 536 | 2015 |
| Practical guidance on characterizing availability in resource selection functions under a use–availability design JM Northrup, MB Hooten, CR Anderson Jr, G Wittemyer Ecology 94 (7), 1456-1463, 2013 | 458 | 2013 |
| On the use of log‐transformation vs. nonlinear regression for analyzing biological power laws X Xiao, EP White, MB Hooten, SL Durham Ecology 92 (10), 1887-1894, 2011 | 364 | 2011 |
| Animal movement: statistical models for telemetry data MB Hooten, DS Johnson, BT McClintock, JM Morales CRC press, 2017 | 348 | 2017 |
| A guide to Bayesian model checking for ecologists PB Conn, DS Johnson, PJ Williams, SR Melin, MB Hooten Ecological Monographs 88 (4), 526-542, 2018 | 270 | 2018 |
| A general science-based framework for dynamical spatio-temporal models CK Wikle, MB Hooten Test 19, 417-451, 2010 | 249 | 2010 |
| Spatial autoregressive models for statistical inference from ecological data JM Ver Hoef, EE Peterson, MB Hooten, EM Hanks, MJ Fortin Ecological Monographs 88 (1), 36-59, 2018 | 235 | 2018 |
| Forest species diversity reduces disease risk in a generalist plant pathogen invasion SE Haas, MB Hooten, DM Rizzo, RK Meentemeyer Ecology letters 14 (11), 1108-1116, 2011 | 217 | 2011 |
| Clonal dynamics in western North American aspen (Populus tremuloides) KE Mock, CA Rowe, MB Hooten, J Dewoody, VD Hipkins Molecular Ecology 17 (22), 4827-4844, 2008 | 197 | 2008 |
| Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification EM Hanks, EM Schliep, MB Hooten, JA Hoeting Environmetrics 26 (4), 243-254, 2015 | 196 | 2015 |
| Spatial occupancy models for large data sets DS Johnson, PB Conn, MB Hooten, JC Ray, BA Pond Ecology 94 (4), 801-808, 2013 | 190 | 2013 |
| A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove MB Hooten, CK Wikle Environmental and Ecological Statistics 15, 59-70, 2008 | 180 | 2008 |
| Model selection and assessment for multi‐species occupancy models KM Broms, MB Hooten, RM Fitzpatrick Ecology 97 (7), 1759-1770, 2016 | 155 | 2016 |
| When to be discrete: the importance of time formulation in understanding animal movement BT McClintock, DS Johnson, MB Hooten, JM Ver Hoef, JM Morales Movement ecology 2, 1-14, 2014 | 145 | 2014 |
| Climate influences the demography of three dominant sagebrush steppe plants HJ Dalgleish, DN Koons, MB Hooten, CA Moffet, PB Adler Ecology 92 (1), 75-85, 2011 | 139 | 2011 |
| The basis function approach for modeling autocorrelation in ecological data TJ Hefley, KM Broms, BM Brost, FE Buderman, SL Kay, HR Scharf, ... Ecology 98 (3), 632-646, 2017 | 133 | 2017 |
| Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin JJ Roberts, KD Fausch, DP Peterson, MB Hooten Global Change Biology 19 (5), 1383-1398, 2013 | 124 | 2013 |
| Estimating animal resource selection from telemetry data using point process models DS Johnson, MB Hooten, CE Kuhn Journal of Animal Ecology 82 (6), 1155-1164, 2013 | 115 | 2013 |
Devin JohnsonMathematical Statistician, NOAA確認したメール アドレス: noaa.gov