Rezultati pretraživanja
  1. Hey how’s this for a great idea: CORRELATION NOT CAUSATION CORNER for oral health. We could start with recent reports linking periodontal disease and erectile dysfunction .......

  2. prije 21 sat

    Quick noob question: I understand d-separated vars should be uncorrelated but does it work the other way around? ie If I observe a null relation btw two variables, (assume perfect parameter estimation) does this mean these vars are d-separated?

  3. prije 21 sat

    Again: Where is the control for the potential confound of preprints being prepared by the more able, more invested communicators, writing better and potentially more rigorous papers, which lead to more citations. — Gaping absence of in bio/neuro exposed.

  4. 5. velj

    Estimating closed-form mathematical models from a data corpus. A "Bayesian Machine Scientist." Revolutionary research from - Open source code at -

  5. 5. velj

    CausalNex - python library to build bayesian causal networks with the ability to encode domain knowledge into the conditional dependencies. A great tool to analyze the impact of hypothetical treatments. -

    Prikaži ovu nit
  6. 5. velj

    Regular bootstrap addresses sampling uncertainty in estimators. How to control for uncertainty from the stochastic nature of treatment received? A causal bootstrap by Guido Imbens and Konrad Menzel -

  7. 4. velj

    'To identify and mitigate discriminatory relationships in data, we need models that capture or account for the causal pathways that give rise to them'

  8. 📝 "Using Causal Inference to Improve the Uber User Experience” // Uber Engineering

  9. 4. velj
  10. tweeps: I'm searching for recent examples of publications that employ both a causal model in effect estimation and appeal to a causal mechanism in explanation of findings. Any scientific field of interest! (Retweet, pretty please?)

  11. 4. velj

    Does this look legit? I mean I would have used hashtags if I were hiring for

  12. 4. velj

    Watching live reporting on Iowa caucus and they just panned to a room of data scientists live coding to ask their opinion. Nothing gets non-math people into & statistics like election season does! Now is our time! This is our superbowl! 🤓

  13. 3. velj

    Do you people also get confused and read "causal" instead of "casual" wherever the latter is written?

  14. 3. velj

    FULL HOUSE - 60+ students & researchers are at LISER to see Prof. Martin Huber () present over 2 days in the Call 26: Winter School - 'Casual Mediation Analysis and Machine Learning' – mjesto: Maison des Sciences Humaines

  15. 3. velj
  16. 2. velj

    (What about when we don't know what the correct is? We make basic probabilities relative to a network; and construct a higher-order network over possible first-order networks. This lets us do ; different first-order networks make different predictions.)

    Prikaži ovu nit
  17. 2. velj

    I will be in Houston for from Feb 3rd to 6th. Don't forget to attend my talk at 3:30pm on 6th on Learning Individual Causal Effects from Networked Observational Data. Looking forward to meeting you there!

  18. 1. velj
  19. 31. sij

    New article in . and review Cook & Campbell’s 'threats to validity’ translating each to epidemiology with DAGs and examples, bridging a gap between social science and epidemiologic research

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.