Follow
Daria Bystrova
Daria Bystrova
Inria Grenoble Rhone-Alpes, Laboratoire d'Ecologie Alpine, CNRS, Universite Grenoble Alpes
Verified email at inria.fr
Title
Cited by
Cited by
Year
On the interpretations of joint modeling in community ecology
G Poggiato, T Münkemüller, D Bystrova, J Arbel, JS Clark, W Thuiller
Trends in Ecology & Evolution 36 (5), 391-401, 2021
1042021
Novel methods to correct for observer and sampling bias in presence‐only species distribution models
Y Chauvier, NE Zimmermann, G Poggiato, D Bystrova, P Brun, W Thuiller
Global Ecology and Biogeography 30 (11), 2312-2325, 2021
302021
Clustering species with residual covariance matrix in joint species distribution models
D Bystrova, G Poggiato, B Bektaş, J Arbel, JS Clark, A Guglielmi, ...
Frontiers in Ecology and Evolution 9, 601384, 2021
122021
Approximating the clusters' prior distribution in Bayesian nonparametric models
D Bystrova, J Arbel, GKK King, F Deslandes
AABI 2020-3rd Symposium on Advances in Approximate Bayesian Inference, 1-16, 2021
52021
Bayesian mixture models (in) consistency for the number of clusters
L Alamichel, D Bystrova, J Arbel, GKK King
arXiv preprint arXiv:2210.14201, 2022
42022
Latent factor models: a tool for dimension reduction in joint species distribution models
D Bystrova, G Poggiato, J Arbel, W Thuiller
22021
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series
CK Assaad, D Bystrova, J Arbel, E Devijver, E Gaussier, W Thuiller
arXiv preprint arXiv:2306.08765, 2023
12023
Bayesian block-diagonal graphical models via the Fiedler prior
J Arbel, M Beraha, D Bystrova
SFdS-52 Journées de Statistique de la Société Francaise de Statistique, 1-6, 2021
12021
Causal discovery from time series with hybrids of constraint-based and noise-based algorithms
D Bystrova, C Assaad, J Arbel, E Devijver, É Gaussier, W Thuiller
Transactions on Machine Learning Research Journal, 2024
2024
Réduction de la dimension dans les modèles de distributions jointes d’espèces
D BYSTROVA, G POGGIATO, J ARBEL, W THUILLER
Approches statistiques pour les variables cachées en écologie, 151, 2022
2022
On the consistency of Bayesian nonparametric mixtures for the number of clusters
L Alamichel, D Bystrova, J Arbel, GKK King
ISBA 2022-World Meeting International Society for Bayesian Analysis, 2022
2022
Bayesian nonparametric mixtures inconsistency for the number of clusters
L Alamichel, J Arbel, D Bystrova, GKK King
53es journées de Statistiques, 2022
2022
Bekta s B, Arbel J, Clark JS, Guglielmi A and Thuiller W (2021) Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models
D Bystrova, G Poggiato
Front. Ecol. Evol. 9: 601384. doi: 10.3389/fevo, 2021
2021
Contributed comment on Article by Hahn, Murray, and Carvalho
D Bystrova, J Arbel, T Rahier
2021
The system can't perform the operation now. Try again later.
Articles 1–14