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#bayes — Public Fediverse posts

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  1. undrendo @[email protected] ·

    The R package **Prova** (nonparametric probabilistic-statistical variate analysis) has been updated on CRAN to v2.3.0. Besides bug fixes and improved documentation, two important additions in this major update:

    - An additional function to calculate the mutual information between sets of finite-domain variates (categorical, ordinal) <pglpm.github.io/prova/referenc>. This function is much faster and more precise than the alternative one (which, however, works with any kinds of variates).

    - A function to calculate **expected utilities**, and *also their uncertainty* <pglpm.github.io/prova/referenc>. This makes the package even more useful in clinical-decision-making applications for example.

    pglpm.github.io/prova/

    cran.r-project.org/package=pro

    #rstats #bayesian #statistics #bayes

    #rstats #bayesian #statistics #bayes
  2. Martin Modrák @[email protected] ·

    RE: bayes.club/@modrak_m/116255377

    We just updated the preprint to address some reviewer feedback. Most notably we added a case study where the model space is huge (2^100) and sampled explicitly with JAGS. The fun part is that our reaction to the request was "does anybody do this? Seems weird", while the reviewer said "comparing just 2-4 models surely is just a classroom exercise, real science has large model spaces" :-D. Anyway, science is diverse, different fields do different stuff and that's good actually. #stats #bayes

    #stats #bayes
  3. Martin Modrák @[email protected] ·

    RE: bayes.club/@modrak_m/116255377

    We just updated the preprint to address some reviewer feedback. Most notably we added a case study where the model space is huge (2^100) and sampled explicitly with JAGS. The fun part is that our reaction to the request was "does anybody do this? Seems weird", while the reviewer said "comparing just 2-4 models surely is just a classroom exercise, real science has large model spaces" :-D. Anyway, science is diverse, different fields do different stuff and that's good actually. #stats #bayes

    #stats #bayes
  4. Martin Modrák @[email protected] ·

    RE: bayes.club/@modrak_m/116255377

    We just updated the preprint to address some reviewer feedback. Most notably we added a case study where the model space is huge (2^100) and sampled explicitly with JAGS. The fun part is that our reaction to the request was "does anybody do this? Seems weird", while the reviewer said "comparing just 2-4 models surely is just a classroom exercise, real science has large model spaces" :-D. Anyway, science is diverse, different fields do different stuff and that's good actually. #stats #bayes

    #stats #bayes
  5. Martin Modrák @[email protected] ·

    RE: bayes.club/@modrak_m/116255377

    We just updated the preprint to address some reviewer feedback. Most notably we added a case study where the model space is huge (2^100) and sampled explicitly with JAGS. The fun part is that our reaction to the request was "does anybody do this? Seems weird", while the reviewer said "comparing just 2-4 models surely is just a classroom exercise, real science has large model spaces" :-D. Anyway, science is diverse, different fields do different stuff and that's good actually. #stats #bayes

    #bayes #stats
  6. Martin Modrák @[email protected] ·

    RE: bayes.club/@modrak_m/116255377

    We just updated the preprint to address some reviewer feedback. Most notably we added a case study where the model space is huge (2^100) and sampled explicitly with JAGS. The fun part is that our reaction to the request was "does anybody do this? Seems weird", while the reviewer said "comparing just 2-4 models surely is just a classroom exercise, real science has large model spaces" :-D. Anyway, science is diverse, different fields do different stuff and that's good actually. #stats #bayes

    #stats #bayes
  7. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #llm #ai #nlp #tokenization #word2vec #embeddings
  8. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #llm #ai #nlp #tokenization #word2vec #embeddings
  9. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #llm #ai #nlp #tokenization #word2vec #embeddings
  10. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #languagemodels #bayes #markov #tfidf #embeddings #word2vec
  11. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #llm #ai #nlp #tokenization #word2vec #embeddings
  12. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  13. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  14. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  15. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #languagemodels #bayes #markow #tfidf #embeddings #word2vec
  16. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  17. GLOBAL Visibility aéPiot - by aePiot.ro @[email protected] ·

    C J #ALLEN #SCULPTOR
    aepiot.ro/search.html?...
    #KENNETH #ARMITAGE
    www.perplexity.ai/search/new?q...
    #GILBERT #BAYES
    www.perplexity.ai/search/new?q...
    headlines-world.com

    MultiSearch Tag Explorer

    #allen #sculptor #kenneth #armitage #gilbert #bayes
  18. GLOBAL Visibility aéPiot - by aePiot.ro @[email protected] ·

    C J #ALLEN #SCULPTOR
    aepiot.ro/search.html?...
    #KENNETH #ARMITAGE
    www.perplexity.ai/search/new?q...
    #GILBERT #BAYES
    www.perplexity.ai/search/new?q...
    headlines-world.com

    MultiSearch Tag Explorer

    #allen #sculptor #kenneth #armitage #gilbert #bayes
  19. Daniel Hoffmann 🌼 @[email protected] ·

    Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

    #quantitativebiology #bayes #cellmigration #cancer
  20. Daniel Hoffmann 🌼 @[email protected] ·

    Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

    #quantitativebiology #bayes #cellmigration #cancer
  21. Daniel Hoffmann 🌼 @[email protected] ·

    Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

    #quantitativebiology #bayes #cellmigration #cancer
  22. Daniel Hoffmann 🌼 @[email protected] ·

    Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

    #cancer #cellmigration #bayes #quantitativebiology
  23. Daniel Hoffmann 🌼 @[email protected] ·

    Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

    #quantitativebiology #bayes #cellmigration #cancer
  24. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #llm #ai #nlp #tokenization #word2vec #embeddings
  25. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #llm #ai #nlp #tokenization #word2vec #embeddings
  26. Błażej Gruszka @[email protected] ·

    How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

    #llm #ai #nlp #tokenization #word2vec #embeddings
  27. Daniel 🕹️ @[email protected] ·

    Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

    #rstats #stan #bayes
  28. Daniel 🕹️ @[email protected] ·

    Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

    #rstats #stan #bayes
  29. Daniel 🕹️ @[email protected] ·

    Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

    #rstats #stan #bayes
  30. Daniel 🕹️ @[email protected] ·

    Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

    #bayes #stan #rstats
  31. Daniel 🕹️ @[email protected] ·

    Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

    #rstats #stan #bayes
  32. kipriyanovich @[email protected] ·

    Alright, future engineers!
    **Conditional Probability:** P(A|B) is the prob of event A, given event B has already happened.
    Ex: P(A|B) = P(A & B) / P(B). Think: Prob of engine failure *given* low oil pressure.
    Pro-Tip: Essential for Bayesian inference & diagnostics!
    #Probability #Bayes #STEM #StudyNotes

    #probability #bayes #stem #studynotes
  33. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  34. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  35. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  36. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #languagemodels #bayes #markow #tfidf #embeddings #word2vec
  37. Błażej Gruszka @[email protected] ·

    Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

    #llm #ai #nlp #tokenizacja #word2vec #embeddings
  38. Sam Van Horne, Ph.D. @[email protected] ·

    I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

    #bayes #mcmc
  39. Sam Van Horne, Ph.D. @[email protected] ·

    I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

    #bayes #mcmc
  40. Sam Van Horne, Ph.D. @[email protected] ·

    I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

    #bayes #mcmc
  41. Sam Van Horne, Ph.D. @[email protected] ·

    I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

    #mcmc #bayes
  42. Sam Van Horne, Ph.D. @[email protected] ·

    I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

    #bayes #mcmc
  43. Mario Angst @[email protected] ·

    Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

    #bayesian #academicchatter #bayes
  44. Mario Angst @[email protected] ·

    Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

    #bayesian #academicchatter #bayes
  45. Mario Angst @[email protected] ·

    Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

    #bayesian #academicchatter #bayes
  46. Mario Angst @[email protected] ·

    Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

    #bayes #academicchatter #bayesian
  47. Mario Angst @[email protected] ·

    Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

    #bayesian #academicchatter #bayes
  48. Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇨🇱 🇺🇦 🇨🇦 🇬🇱☮🕊️ @[email protected] ·

    Monument du #cinéma #français, la #comédienne #NathalieBaye est morte

    #RIP Nathalie #Bayes
    Nous nous souviendrons de toi, de ta gentillesse, et de ton humanisme

    france24.com/fr/france/2026041

    #cinema #francais #comedienne #nathaliebaye #rip #bayes
  49. Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇨🇱 🇺🇦 🇨🇦 🇬🇱☮🕊️ @[email protected] ·

    Monument du #cinéma #français, la #comédienne #NathalieBaye est morte

    #RIP Nathalie #Bayes
    Nous nous souviendrons de toi, de ta gentillesse, et de ton humanisme

    france24.com/fr/france/2026041

    #cinema #francais #comedienne #nathaliebaye #rip #bayes
  50. Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇨🇱 🇺🇦 🇨🇦 🇬🇱☮🕊️ @[email protected] ·

    Monument du #cinéma #français, la #comédienne #NathalieBaye est morte

    #RIP Nathalie #Bayes
    Nous nous souviendrons de toi, de ta gentillesse, et de ton humanisme

    france24.com/fr/france/2026041

    #cinema #francais #comedienne #nathaliebaye #rip #bayes
  51. Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇨🇱 🇺🇦 🇨🇦 🇬🇱☮🕊️ @[email protected] ·

    Monument du #cinéma #français, la #comédienne #NathalieBaye est morte

    #RIP Nathalie #Bayes
    Nous nous souviendrons de toi, de ta gentillesse, et de ton humanisme

    france24.com/fr/france/2026041

    #bayes #rip #nathaliebaye #comedienne #francais #cinema
  52. Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇨🇱 🇺🇦 🇨🇦 🇬🇱☮🕊️ @[email protected] ·

    Monument du #cinéma #français, la #comédienne #NathalieBaye est morte

    #RIP Nathalie #Bayes
    Nous nous souviendrons de toi, de ta gentillesse, et de ton humanisme

    france24.com/fr/france/2026041

    #cinema #francais #comedienne #nathaliebaye #rip #bayes
  53. Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇨🇱 🇺🇦 🇨🇦 🇬🇱 ☮🕊️ @[email protected] ·

    Monument du #cinéma #français, la #comédienne #NathalieBaye est morte #RIP Nathalie #Bayes Nous nous souviendrons de toi, de ta gentillesse, et de ton humanisme www.france24.com/fr/france/20...

    Monument du cinéma français, l...

    #cinema #francais #comedienne #nathaliebaye #rip #bayes
  54. Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇨🇱 🇺🇦 🇨🇦 🇬🇱 ☮🕊️ @[email protected] ·

    Monument du #cinéma #français, la #comédienne #NathalieBaye est morte #RIP Nathalie #Bayes Nous nous souviendrons de toi, de ta gentillesse, et de ton humanisme www.france24.com/fr/france/20...

    Monument du cinéma français, l...

    #bayes #rip #nathaliebaye #comedienne #francais #cinema
  55. David C. Norris 🇺🇦 🗽 @[email protected] ·

    Returning to Bayesian computation now after some time away, I was delighted to see active work on JAGS 5.0!
    sourceforge.net/projects/mcmc-
    #Bayes #JAGS

    #bayes #jags
  56. David C. Norris 🇺🇦 🗽 @[email protected] ·

    Returning to Bayesian computation now after some time away, I was delighted to see active work on JAGS 5.0!
    sourceforge.net/projects/mcmc-
    #Bayes #JAGS

    #bayes #jags
  57. David C. Norris 🇺🇦 🗽 @[email protected] ·

    Returning to Bayesian computation now after some time away, I was delighted to see active work on JAGS 5.0!
    sourceforge.net/projects/mcmc-
    #Bayes #JAGS

    #jags #bayes
  58. David C. Norris 🇺🇦 🗽 @[email protected] ·

    Returning to Bayesian computation now after some time away, I was delighted to see active work on JAGS 5.0!
    sourceforge.net/projects/mcmc-
    #Bayes #JAGS

    #bayes #jags
  59. N-gated Hacker News @[email protected] ·

    🤔 Ah, yet another "innovative" tool promising to fix your #non-deterministic #bugs by throwing #Bayes at #Git like it's some kind of magic wand. 🔮 Because clearly, what we all need in our #debugging toolbox is more statistical hand-waving and fewer #practical #solutions. 😂
    github.com/hauntsaninja/git_ba #innovative #tools #HackerNews #ngated

    #non #bugs #bayes #git #debugging #practical
  60. N-gated Hacker News @[email protected] ·

    🤔 Ah, yet another "innovative" tool promising to fix your #non-deterministic #bugs by throwing #Bayes at #Git like it's some kind of magic wand. 🔮 Because clearly, what we all need in our #debugging toolbox is more statistical hand-waving and fewer #practical #solutions. 😂
    github.com/hauntsaninja/git_ba #innovative #tools #HackerNews #ngated

    #non #bugs #bayes #git #debugging #practical