Happy to announce the 2nd edition of the workshop on causal inference for time series data @UncertaintyInAI in June this year, co-organized by @oanaucs, @JonasChoice @runge_jakob, @huang_biwei, myself and others! The workshop includes a call for papers 👉🏻 https://t.co/ZqFBU8cqkW
There are 10 days left to apply for the Warwick Statistics Internship @warwickstats. Apply here: https://t.co/uCkm4uogpM Please pass this on to your undergraduate and Masters students. Applications from under-represented groups are particularly welcome.
There’s a new opportunity for an internship on causal inference at @Inserm & @Sorbonne_Univ_ ! If you know someone who would be a good candidate, make sure you encourage them to apply!
For more details 👉🏻 https://t.co/EO6MOWzb6U
📢 *PhD opening* at @inria_grenoble! @xavirema and myself are looking for a student to work with us on deep generative models, information geometry, and statistical manifolds. For more information: https://t.co/8SsJUah5i5
The colloquium on fundamental challenges in causality starts today!
Join us for a reception buffet followed by a keynote by Robin Evans and Xi Lin.
For more details 👉🏻 https://t.co/ZSPV8tLium
#causality
Happy to announce a workshop on causal inference for time series data at @UncertaintyInAI in August this year, together with @saramagliacane@ckassaad @JonasChoice and others! Including a Call4Papers 👉 https://t.co/VW9nFjZ1az
Happy to announce a colloquium on ‘'Fundamental Challenges in Causality'' to be held in Grenoble from May 9th to May 12th. It will include a series of invited talks given by: @ItsAStatLife, Hervé Isambert, @runge_jakob, Michèle Sebag, Ilya Shpitser, @MihaelaVDS & @kunkzhang.
1/2
Pardon my French... working on 🇫🇷 translation of our chapter on latent factor models in joint species distribution models was unexpectedly involved!
w/ @dabystrova@GPoggiato & @Wil_Thuiller
https://t.co/76kUTigCol
Book edited by Nathalie Peyrard & @oaggimenez
Happy to see our paper out in @CurrentBiology !
The diversity of biotic interactions complements functional and phylogenetic facets of biodiversity
https://t.co/O2gxUbKMWF
Our survey paper (with @e_devijver and @egaussier) on causal discovery from time series has been published in the Journal of Artificial Intelligence Research!
👉 https://t.co/bWbBwG1VPF
Hope it helps those who are on the quest for answering why questions using time series 1/4
The French government has just approved financing for a 3-month research stay for Ukrainian researchers, including doctoral students. The program is called PAUSE.
https://t.co/miNnOJfD1n
We have applied our method to a case study of plant communities in a protected area of the #FrenchAlps, showing how the estimated clusters are compatible with plant traits, endorsing their importance in shaping communities. (5/5)
Our paper “Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models” - is now online at https://t.co/VDRB0BodtF @GPoggiato@JulyanArbel @BillurBektas
More details below (1/5)
This framework is based on an existing dimension reduction method based on the Dirichlet Process, which is extended by including a prior knowledge on species associations and by using the more flexible Pitman-Yor process (approximated by novel Pitman-Yor multinomial process)(4/5)