Segui
Hans J. Skaug
Hans J. Skaug
Email verificata su uib.no - Home page
Titolo
Citata da
Citata da
Anno
glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling
ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ...
The R journal 9 (2), 378-400, 2017
66752017
AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models
DA Fournier, HJ Skaug, J Ancheta, J Ianelli, A Magnusson, MN Maunder, ...
Optimization Methods and Software 27 (2), 233-249, 2012
21332012
Generalized linear mixed models using AD model builder
HJ Skaug
R package version 0.8. 0, 2014
10832014
TMB: automatic differentiation and Laplace approximation
K Kristensen, A Nielsen, CW Berg, H Skaug, B Bell
Journal of Statistical Software 70 (5), 1-21, 2016
9132016
Package ‘glmmtmb’
A Magnusson, H Skaug, A Nielsen, C Berg, K Kristensen, M Maechler, ...
R Package Version 0.2. 0 25, 2017
3222017
glmmTMB: generalized linear mixed models using template model builder
A Magnusson, H Skaug, A Nielsen, C Berg, K Kristensen, M Maechler, ...
R package version 0.1 3, 2017
3122017
glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. RJ 9: 378–400
ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ...
3082017
Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes
JT Thorson, AO Shelton, EJ Ward, HJ Skaug
ICES Journal of Marine Science 72 (5), 1297-1310, 2015
3012015
Modeling zero-inflated count data with glmmTMB
ME Brooks, K Kristensen, KJ van Benthem, A Magnusson, CW Berg, ...
BioRxiv, 132753, 2017
2802017
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
HJ Skaug, DA Fournier
Computational Statistics & Data Analysis 51 (2), 699-709, 2006
2362006
Bridging the ensemble Kalman filter and particle filters: the adaptive Gaussian mixture filter
AS Stordal, HA Karlsen, G Nævdal, HJ Skaug, B Vallès
Computational Geosciences 15, 293-305, 2011
2292011
Getting started with the glmmADMB package
B Bolker, H Skaug, A Magnusson, A Nielsen
2142012
glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 2017; 9: 378–400. doi: 10.32614
ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ...
RJ-2017-066.[CrossRef][Google Scholar], 0
214
Close-kin Mark-Recapture
MV Bravington, HJ Skaug, EC Anderson
Statistical Science 31 (2), 259-274, 2016
1982016
Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range
JT Thorson, MD Scheuerell, AO Shelton, KE See, HJ Skaug, K Kristensen
Methods in Ecology and Evolution 6 (6), 627-637, 2015
1632015
glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400. doi: 10.32614
ME Brooks, K Kristensen, KJ van Benthem, A Magnusson, CW Berg, ...
RJ-2017-066, 2017
1542017
Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS
BM Bolker, B Gardner, M Maunder, CW Berg, M Brooks, L Comita, ...
Methods in Ecology and Evolution 4 (6), 501-512, 2013
1362013
Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
HJ Skaug, N Øien, T Schweder, G Bøthun
Canadian Journal of Fisheries and Aquatic Sciences 61 (6), 870-886, 2004
1332004
A nonparametric test of serial independence based on the empirical distribution function
HJ Skaug, D Tjøstheim
Biometrika 80 (3), 591-602, 1993
1251993
The importance of spatial models for estimating the strength of density dependence
JT Thorson, HJ Skaug, K Kristensen, AO Shelton, EJ Ward, JH Harms, ...
Ecology 96 (5), 1202-1212, 2015
1052015
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20