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# All Blog Posts Tagged 'bayesian' (10)

### Bayesian Methods and Networks in classical and quantum physics

I recently came across this wonderful list of classical Bayesian network articles posted by Vincent Granville, here. To cover the quantum bayesian side of things, here is a recent article of mine from my blog "Quantum Bayesian Networks".  …

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Added by Robert R. Tucci on December 17, 2019 at 12:00pm — No Comments

### And Monty Hall Went Bayesian...

In practice, the Data Scientist wants to know which formula they will write in their Excel sheet when they enter all the data available into it: Bayes’ or usual?

The answer is that it depends: if all the data is well…

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Added by Marcia Ricci Pinheiro on February 18, 2019 at 4:50am — No Comments

### Bayesian Probability

The sigmatoid Bayesian, according to SEP, connects to a reverend called Thomas Bayes (circa 1700).

Bayesian Probability is like a reaction to the Mathematical Probability: what about our…

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Added by Marcia Ricci Pinheiro on February 16, 2019 at 11:30pm — No Comments

### An Introduction to Bayesian Reasoning

An Introduction to Bayesian Reasoning

You might be using Bayesian techniques in your data science without knowing it! And if you're not, then it could enhance the power of your analysis. This blog post, part 1 of 2, will demonstrate how Bayesians employ probability distributions to add information when fitting models, and reason about uncertainty of the model's fit.

Grab a coin. How fair is the coin? What is the probability…

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Added by Sean Owen on February 13, 2019 at 8:00am — 3 Comments

# A “quick” introduction to PyMC3 and Bayesian models, Part I

In this post, I give a “brief”, practical introduction using a specific and hopefully relate-able example drawn from real data.…

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Added by Jesus Ramos on May 8, 2018 at 10:00am — No Comments

### Humans and uncertainty

Since their early days, humans have had an important, often antagonistic relationship with uncertainty; we try to kill it everywhere we find it. Without an explanation for many natural phenomena, humans invented gods to explain them, and without certainty of the future, they consulted oracles.

It was…

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Added by Jesus Ramos on May 8, 2018 at 9:00am — No Comments

### Basics of Bayesian Decision Theory

The use of formal statistical methods to analyse quantitative data in data science has increased considerably over the last few years. One such approach, Bayesian Decision Theory (BDT), also known as Bayesian Hypothesis Testing and Bayesian inference, is a fundamental statistical approach that quantifies the tradeoffs between various decisions using…

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Added by Kostas Hatalis on March 15, 2018 at 12:00pm — No Comments

### Bayesian Nonparametric Models

Bayesian Nonparametrics is a class of models with a potentially infinite number of parameters. High flexibility and expressive power of this approach enables better data modelling compared to parametric methods.

Bayesian Nonparametrics is used in problems where a dimension of interest grows with data, for example, in problems where the number of features is not fixed but allowed to vary as we observe more…

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Added by Luba Belokon on October 12, 2017 at 3:00pm — No Comments

### High Performance Computing + Data Science = Competitive Advantage

High Performance Computing (HPC) plus data science allows public and private organizations get…

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Added by Michael Walker on September 17, 2013 at 12:28pm — 1 Comment

### Prescriptive Analytics

Business analytics comes in three (3) general flavors: descriptive, predictive and prescriptive. See: …

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Added by Michael Walker on August 27, 2013 at 2:00pm — No Comments

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