Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @mark_vdlaan
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @mark_vdlaan
-
Mark van der Laan proslijedio/la je Tweet
Register for the Turing Institute lecture
@LSHTM by Mark van der Laan on 4th March. All welcome#causalinference and#MachineLearninghttps://www.turing.ac.uk/events/targeted-learning …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mark van der Laan proslijedio/la je Tweet
On 3rd of March,
@SVansteelandt@mark_vdlaan and I are giving a causal inference masterclass@turinginst For details and to apply to attend, visit this link https://www.turing.ac.uk/events/causal-machine-learning-masterclass …https://twitter.com/lshtmstatmethod/status/1222091125424521216 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Asked for a comparison of TMLE and double machine learning, this blog post comparing the two approaches in historical context came together quickly https://vanderlaan-lab.org/2019/12/24/cv-tmle-and-double-machine-learning/ …
#causalinference#statstwitter#epitwitter#machinelearninghttps://twitter.com/emaadmanzoor/status/1208924841316880385 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mark van der Laan proslijedio/la je Tweet
Curious about mediation analysis under intermediate confounding? Check out new effects and robust estimation strategies in exciting new work from
@ildiazm,@kara_rudolph,@mark_vdlaan! (+ I got to help too.)#rstats
coming soon. #epitwitter#causalinference#statstwitterhttps://twitter.com/StatsPapers/status/1208983088006459392 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mark van der Laan proslijedio/la je Tweet
Exciting news, and there’s more: together with
@SVansteelandt and@mark_vdlaan we’re running a#causalinference#MachineLearning masterclass@turinginst the previous day (March 3rd). Applications will open early in the new year. Watch this space!https://twitter.com/LSHTMstatmethod/status/1208352755791867904 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
During a panel discussion on bridging theory and application, I commented on the role of the statistician in scientific practice; later received this wonderful note from
@ErnestFokoue — always nice to see others agreeing on the importance of transparency in our field. 2/2pic.twitter.com/cfTIIT8vLQ
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greatly enjoyed the
@SAMSI_Info workshop last week, plenty of stimulating discussion with many impressive colleagues. 1/2Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
How about a statistically unbiased estimate of something interesting, and don't even bother estimating something that isn't interesting?https://twitter.com/dougwebberecon/status/1201195190188417026 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"The majority that one is taught in statistics is based on such unrealistic [parametric] assumptions and is actually wrong when applied to the real world."
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"If we replace the real problem by a toy problem, we avoid the real challenges."
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"It is my philosophy that one should make a sincere effort to define the real statistical estimation problem as accurately as possible, making assumptions that are reasonable and can be defended."
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Just responded to
@StackExchange question regarding@AmstatNews article I wrote, the same one that I shared in my last tweet. Answer: Are all models useless? Is any exact model possible — or useful? https://stats.stackexchange.com/a/437955/266507?stw=2 …#betterlatethannever#statistics#epitwitterPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The problem is that the world is not pre-packaged for this kind of statistical convenience — and the assumptions driving these models are too restrictive to capture the true distribution of data. 3/3
#statstwitter#statistics#epitwitterPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
By using these kinds of models, we assume that our data is generated from a specific type of probability distribution; but if the model is incorrect, it may lead us to incorrect conclusions. 2/3
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The world is full of bent coins, each bent in slightly different ways - eg, we often assume that data are well modeled by a normal curve; yet, in many real-life situations, this may be a poor model or only useful for broad, sweeping generalizations. 1/3https://senseaboutscienceusa.org/super-learning-and-the-revolution-in-knowledge/ …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.