Latest updates for Bayesian

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Recent items include:

  • Posterior mean
  • Байес и базовые вероятности: как история помогает оценивать перспективы
  • Workshop on Rethinking the Role of Bayesianism in the Age of Modern AI

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johndcook.com /3 days ago

Posterior mean

Common sense says that what you believe after seeing new data should be some sort of compromise between what you believed before and what the new data says. You don’t want to ignor...

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habr.com /3 weeks ago

Байес и базовые вероятности: как история помогает оценивать перспективы

Почему одни люди точнее прогнозируют будущее, чем другие? Дело не только в интеллекте или объёме информации. Главное преимущество суперпрогнозистов - байесовское мышление: новая ин...

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statmodeling.stat.columbia.edu /3 weeks ago

Workshop on Rethinking the Role of Bayesianism in the Age of Modern AI

Esmeralda Whitammer, Sara Wade, Vincent Fortuin, Konstantina Palla, and Theodore Papamarkou write: We are organising a focused workshop on Rethinking the Role of Bayesianism in the...

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towardsdatascience.com /1 month ago

Bayesian Networks and Markov Networks: An Intuitive Guide to Structured Uncertainty

An intuitive introduction to reasoning with uncertainty, from directed Bayesian networks to undirected Markov networks and weighted logical rules. The post Bayesian Networks and Ma...

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statmodeling.stat.columbia.edu /1 day ago

“Making Statistics Work: Information Theory and Bayesian Inference”

I took a look at the above-titled book by economists Duncan Foley and Ellis Scharfenaker. It’s an interesting read, in many ways a throwback to the 1950s when a group of mathematic...

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medcitynews.com /4 weeks ago

The FDA’s Bayesian Guidance Could Quietly Reshape Clinical Trial Design

New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial designs and the complexities of diseases such as certain ca...

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journals.plos.org /1 month ago

Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation

by Dhorasso Temfack, Jason Wyse Estimating latent epidemic states and model parameters from partially observed, noisy data remains a major challenge in infectious disease modeling...

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johndcook.com /3 days ago

Posterior variance

A few days ago I wrote a post entitled Does additional data always reduce posterior variance?. In a nutshell, the answer is no, not always. That led the previous post which looked...

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medium.com /2 days ago

Beyond Guesswork — Bayesian Budget Allocation for Paid Search

Using artificial intelligence to decide where the next Euro goes.Continue reading on Berlin Tech Blog (by mobile.de & Kleinanzeigen) »

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habr.com

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journals.plos.org

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medcitynews.com

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medium.com

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statmodeling.stat.columbia.edu

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towardsdatascience.com

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