Papers using TMB

Jim Thorson edited this page Jan 26, 2017 · 22 revisions

List of papers that uses TMB (first come, first served):

In press

  • Wang, S., Cadigan, N.G., and Benoît, H. 2016. Inference about regression parameters using highly stratified survey count data with over-dispersion and repeated measurements. Journal of Applied Statistics. In Press. http://www.tandfonline.com/doi/full/10.1080/02664763.2016.1191622
  • C. Konrad, N.G. Cadigan, and J. Brattey. 2016. Reporting rate of tagging experiments for cod (Gadus morhua). Environmental and Ecological Statistics. In press. http://link.springer.com/article/10.1007/s10651-016-0344-0?wt_mc=internal.event.1.SEM.ArticleAuthorOnlineFirst
  • Thorson, J.T., and Barnett, L.A.K. In press. Comparing estimates of abundance trends and distribution shifts using single- and multispecies models of fishes and biogenic habitat. ICES J. Mar. Sci.
  • Thorson, J.T., Fonner, R., Haltuch, M., Ono, K., and Winker, H. In press. Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data. Can. J. Fish. Aquat. Sci. doi:10.1139/cjfas-2015-0598. (http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0598)
  • Kai, Mikihiko, Thorson, J. T., Piner, Kevin, and Maunder, Mark N. In press. Spatio-temporal variation in size-structured populations using fishery data: an application to shortfin mako (Isurus oxyrinchus) in the Pacific Ocean. Canadian Journal of Fisheries and Aquatic Sciences
  • Thorson, J., Munch, S, and Swain, D. In press. Identifying partial regulation in community dynamics using spatio-temporal models. Ecology.

2016

2015

  • Thorson, J.T., Ianelli, J.N., Munch, S.B., Ono, K., and Spencer, P.D. 2015. Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance. Can. J. Fish. Aquat. Sci. 72(12): 1897–1915. doi:10.1139/cjfas-2014-0543. (http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2014-0543)
  • Thorson, J., Skaug, H., Kristensen, K., Shelton, A., Ward, E., Harms, J., and Benante, J. 2015. The importance of spatial models for estimating the strength of density dependence. Ecology. 96:1202–1212. (http://www.esajournals.org/doi/abs/10.1890/14-0739.1)
  • Thorson, J. Shelton, A., Ward, E., and Skaug, H. 2015. Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes. ICES Journal of Marine Science. 72 (5): 1297-1310. http://icesjms.oxfordjournals.org/content/72/5/1297.abstract?etoc
  • Thorson, J.T., Scheuerell, M.D., Shelton, A.O., See, K.E., Skaug, H.J., and Kristensen, K. 2015. Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range. Methods Ecol. Evol. 6(6): 627–637. doi:10.1111/2041-210X.12359. (http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12359/abstract)
  • Thorson, J. 2015. Spatio-temporal variation in fish condition is not consistently explained by density, temperature, or season for Northeast Pacific groundfishes. Mar. Ecol. Progress Series. 526:101-112. http://www.int-res.com/abstracts/meps/v526/p101-112/
  • Albertsen, C. M., Whoriskey, K., Yurkowski, D., Nielsen, A., and Flemming, J. M. 2015. Fast fitting of non-Gaussian state-space models to animal movement data via Template Model Builder. Ecology 96(10):2598-2604. doi: 10.1890/14-2101.1