In fbachl/inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

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Articles

Fabian E. Bachl, Finn Lindgren, David L. Borchers, and Janine B. Illian (2019), inlabru: an R package for Bayesian spatial modelling from ecological survey data, Methods in Ecology and Evolution, British Ecological Society, 10, 760--766, doi:10.1111/2041-210X.13168.
Yuan Yuan, Fabian E. Bachl, Finn Lindgren, David L. Borchers, Janine B. Illian, Stephen T. Buckland, Håvard Rue, and Tim Gerrodette (2017), Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales, Annals of Applied Statistics, 11, 2270--2297, doi:10.1214/17-AOAS1078, [arXiv, PDF].

Presentations

F. E. Bachl @ TIES/GRASPA 2017 Conference on Climate and Ecology, Bergamo, Italy, July 24-26
inlabru: Bayesian modeling and point procesanalysis for ecological data and beyond [Abstract, Slides]
D. L. Borchers @ South African Statistical Association Conference, Cape Town, South Africa, 28th Nov to 1st Dec
Wildlife Survey Models: Thinned spatial point processes with unknown thinning probabilities [Slides]
F. E. Bachl @ Autumn meeting for latent Gaussian Models, Trondheim, Norway, September 17-18
Live inlabru demo [HTML, R]
F. E. Bachl @ The Fifth Workshop on Bayesian Inference for Latent Gaussian Models with Applications, Bath, UK, 14-16 September 2016
Approximate non-linear thinning and probabilistic marks for log Gaussian Cox process models in INLA [Abstract, Slides]
F. E. Bachl @ Smoegen Workshop, Smoegen, August 15-18 2016 Approximate non-linear thinning and probabilistic marks for log Gaussian Cox process models in INLA [Abstract, Slides]
F. E. Bachl @ NOAA San Diego, USA, August 2016
Spatial point process models for distance sampling surveys of animals that occur in groups [Slides]
D. L. Borchers @ The International Environmetrics Society Conference 2016, Edinburgh, UK, 18-22 July 2016 Wildlife survey models: thinned spatial point processes with unknown thinning probabilities
Y. Yuan @ International Statistical Ecology Conference (ISEC 2016), Seattle, USA, June 28th – July 1st, 2016.
Poster: Point process models for spatio-temporal distance sampling data [Abstract]
F. E. Bachl @ International Statistical Ecology Conference (ISEC 2016), Seattle, USA, June 28th – July 1st, 2016.
Spatial point process models for distance sampling surveys of animals that occur in groups [Abstract, Slides]
Y. Yuan @ National Centre for Statistical Ecology Conference, Falmouth, UK, July 2015
Spatial point process models for distance sampling data
Y. Yuan @ Spatial Statistics, Emerging Patterns, Avignon, France, June 2015
Spatial point process models for distance sampling data