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wosk

HN member
Joined
Tue, Feb 14, 2017, 10:10 AM UTC
HN karma
239
Public activity
25 items

About wosk

Joseph Lemaitre Researches epidemic modeling, forecasting and control. Assistant Professor at UNC Chapel Hill

josephlemaitre.com

Recent public activity

  1. comment
    Comment #49065740

    Le Monde, very reputed French newspaper (NYtimes equivalent for France perhaps) says that it’s not the first time this cloud is seen in France [1]: (translation mine) > “What is ha…

  2. comment
    Comment #48949206

    This is easier to say as Fable is good (even SOTA). But people have been were saying this continuously for the current model and for now the improvement are still coming. A better …

  3. comment
    Comment #48940847

    I always starts with students by explaining how our intuition breaks in high-dimensions (spikiness, volumes,...) and how that carries when fitting/training models or searching opti…

  4. comment
    Comment #48931615

    yes exactly, it's a conditional forecast. I intended: P(Rain tomorrow | my model is right) = 0.7 p(my model is right) = .8 p(my model is wrong) = .2 p(rain tomorrow | my model is w…

  5. comment
    Comment #48927717

    I think due do this comment and other, they renamed it to app.logseq.com. But your point still hold, if you don't have sync (self-hosted or by paying), it is only local.

  6. comment
    Comment #48927672

    yes and in my example the ending point of the calculation is 0.58. I make an intermediate step explicit in this derivation because it is important for the understanding of the prob…

  7. comment
    Comment #48927296

    > What does this even mean...? You are making the same point that I did, if you read the rest. 0.7 at 80% is an intermediate step in formulating a forecast, and the point is to sho…

  8. comment
    Comment #48923701

    The \pi_i in the paper is not the estimate of a latent parameter. It is the predictive probability of the event, which is a single number by necessity in a binary challenge. It's t…

  9. comment
    Comment #48922207

    It took me a while, but here’s what I gather about this (I’m pretty sure it’s correct, but I’m not an expert). A calibrated forecast means that if you say there is a 20% chance of …

  10. comment
    Comment #48919937

    ChatGPT enable memories by default I think, so it keeps some things about you across all chats. It adds something on my visa in all its message to me like "your visa is not a probl…

  11. comment
    Comment #48898251

    https://test.logseq.com is the new version in browser, I think they plan to keep it around

  12. comment
    Comment #48897497

    You might want to try this new logseq though, if the devs have not burned all your goodwill. You can use it with a markdown mirror (it's a feature under settings) so you keep you s…

  13. comment
    Comment #48897407

    there is a CLI that gets installed when you install logseq, I just past the documentation ( https://github.com/logseq/logseq/blob/master/docs/cli/logseq... ) and codex knows what t…

  14. comment
    Comment #48897076

    I've been using Logseq DB (this new version, as a nightly, for a year) and it's a really great concept, way better than anything I tried for notes and organisation. You can apply t…

  15. comment
    Comment #46600852

    We are also looking for visualization ideas beyond curve/time series. * Does a comparison with last year help (flu activity is 10% more than last year)? * Should we remove the medi…

  16. story
    Show HN: Respilens.com displays flu, COVID-19 and RSV forecasts for US states

    TL;DR: weather forecasts but for respiratory disease. Interpret with caution :) Hey HN, Every year during the respiratory disease season (winter in the northern hemisphere), the CD…

  17. comment
    Comment #42960183

    Very cool, that's an interesting and useful visualization. I work in infectious disease forecasting, and I wanted to give it a try already. However, the csv columns are `State,Coun…

  18. comment
    Comment #39486147

    I did not read the paper, so I cannot comment on the "solid grasp of class inclusion", but regarding the capacity that you described in your comment, I have a 2-year-old and it's b…

  19. story
  20. comment
    Comment #29774767

    I highly recommend going for the beta version which features a (game-changing) built-in pdf reader[1], with annotations (searchable and synced with the beta iPad app) and many more…

  21. comment
    Comment #27105852

    This came to my mind as a recent outrage in genomics[1]. Indeed there are some wonderful contributed papers and some members use it responsibly. I also concur with with everything …

  22. comment
    Comment #27105570

    Tangentially related, a glimpse into academia. The paper[1] was contributed in PNAS, the Proceedings of the National Academy of Sciences of the United States of America. PNAS is a …

  23. comment
    Comment #23439624

    Exactly, Italy gathered a lot of attention in CH and shifted the mindset towards COVID-19.

  24. comment
    Comment #23438413

    True. We estimated seroprevalence for cantons ("states" of Switzerland, ranging from small to very small). As you says, there is some quite some difference (Fig. 5): Tessin (border…

  25. comment
    Comment #23438232

    I'm an author of this study (and long time lurker), happy and surprised to see it posted here. Some findings HN readers might find interesting, I'm referring to figures in the manu…