Latest updates for Bayesian Reasoning

Fresh curated links around Bayesian reasoning are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Posterior mean
  • Байес и базовые вероятности: как история помогает оценивать перспективы
  • Bayesian Networks and Markov Networks: An Intuitive Guide to Structured Uncertainty

Post angles to try

Share the most useful takeaway for your audience.
Turn one article into a quick practical checklist.
Ask your audience how this shift affects their work.
Turn angles into scheduled posts

Fresh articles and ideas

Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

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...

Read source
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...

Read source
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...

Read source
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...

Read source
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...

Read source
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) »

Read source
statmodeling.stat.columbia.edu /1 month ago

Stein’s method, learning and inference -or- how to really monitor convergence and thin chains

This post is from Bob. I’ve been thinking a lot about scores (gradients of the log density function) and how they can be used for convergence monitoring. We know that the expected...

Read source
kdnuggets.com /1 week ago

10 Probability Concepts for Machine Learning Explained Simply

A model is almost never 100% sure of anything. These 10 probability concepts explain how it makes decisions anyway.

Read source
psychreg.org /3 weeks ago

New Study Uses Forest Fire Scenarios to Test a Classic Flaw in Human Reasoning

A new study shows people still misjudge probability even when questions are made clear and familiar. The post New Study Uses Forest Fire Scenarios to Test a Classic Fl...

Read source

Turn fresh research into a full content calendar

Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.

Sources covering Bayesian Reasoning

habr.com

Recent coverage from public sources
Public source

medium.com

Recent coverage from public sources
Public source

statmodeling.stat.columbia.edu

Recent coverage from public sources
Public source

towardsdatascience.com

Recent coverage from public sources
Public source

johndcook.com

Recent coverage from public sources
Public source

kdnuggets.com

Recent coverage from public sources
Public source