//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
ProfilePosts









Loading...
Single-world intervention graphs (SWIGs) as distributions. Conceptually, simultaneously related to and distinct from Rubin's framework and Pearl's calculus. doi.org/10.48550/arX... #SWIG #DAG #causal #identification #frontdoor #docalculus
16d
Causal inference seeks to estimate the effect of an intervention on an outcome using observed data, typically via Rubin's potential-outcome framework or Pearl's do-calculus. Following section 9 of Ric...
doi.org
Single World Intervention Graphs as Distributions: A Framework for Causal Identification
Christian Bartels
11d
Early us of Bayesian approach in bioinformatics. Use available knowledge on chemical shifts and distances in homologous proteins as prior to assign NMR spectra for protein structure determination. en.wikipedia.org/wiki/Structu... doi.org/10.1007%2FBF... #nmr #protein #structure #bayesian
Single-world intervention graphs (SWIGs) as distributions. Systematic way to derive identifying expressions for estimands. New front-door derivations extending more readily to complex settings. doi.org/10.48550/arX... #SWIG #DAG #causal #identification #frontdoor
Early use of directed acyclic graphs to speed up analysis of mass spectrometry of peptides. Low polynomial time complexity, down from exponential complexity without DAGs. en.wikipedia.org/wiki/De_novo... doi.org/10.1002/bms.... #DAG #Peptide #sequencing
16d
6d
Causal inference seeks to estimate the effect of an intervention on an outcome using observed data, typically via Rubin's potential-outcome framework or Pearl's do-calculus. Following section 9 of Ric...doi.org
Single World Intervention Graphs as Distributions: A Framework for Causal Identification
Christian Bartels
Christian Bartels
Christian Bartels
Défaite nette de l’UDC en Suisse, l’initiative « Pas de Suisse à 10 millions » est heureusement rejetée à 55%. Le parti d’extrême-droite annonce bien sûr déjà qu’il n’en restera pas là et gagnera la prochaine fois: la démocratie c’est seulement quand ça les arrange. Continuons à les faire perdre!!
It's alive! 🎉 𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁'𝘀 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗖𝗮𝘂𝘀𝗲 𝗮𝗻𝗱 𝗘𝗳𝗳𝗲𝗰𝘁 is out -- an introduction to causal inference in practice. The first two chapters are available for free here: theissbendixen.com/dag-book/ More below 👇
These three players from the Ivory Coast's World Cup team walked off the airplane looking like this. I'd say that's grossly unfair to the rest of humanity. (Ivorian designer Ibrahim Fernandez).
12d
4d
11d