# Search results for ‘model’

## An Introduction To Uncertainty: Probability, Statistics, and Modeling of All Kinds

This is a teaser, the first part of a 3,200-word narrative outline for the book that I’ve started to shop around. The current title is in the headline. Regular readers know it […]

## The Theology of Water—Is Design Intelligent? Guest Post by Bob Kurland

Physicist Bob Kurland gives us a twist on the anthropic principle. “The water that I shall give him will become in him a fountain of living water, welling up into eternal life. […]

## Comments On Dawid’s Prequential Probability

Phil Dawid is a brilliant mathematical statistician who introduced (in 1984) the theory of prequential probability1 to describe a new-ish way of doing statistics. We ought to understand this theory. I’ll give […]

## Space’s 10 Mistakes People Make When Arguing Science

Reader Ken pointed us to Space.com’s click-me-click-me! article “The 10 Mistakes People Make When Arguing Science”. Since everybody loves numbered lists, I’ll duplicate their efforts here, using their mistakes. Isn’t it curious […]

## Statistics Good, Bad & Ugly

In an attempt to catch up on my 300-some emails (yes, the total has grown considerably; probably because of recent publicity), here are some articles sent in by readers that bear attention. […]

## Philosophic Issues in Cosmology III: Mathematical Metaphysics—Guest Post by Bob Kurland

Bob Kurland is a retired, cranky, old physicist, and convert to Catholicism. He shows that there is no contradiction between what science tells us about the world and our Catholic faith. Read […]

## I Also Declare The Bayesian vs. Frequentist Debate Over For Data Scientists

I stole the title, adding the word “also”, from an article by Rafael Irizarry at Simply Stats (tweeted by Diego Kuonen). First, brush clearing. Data scientists. Sounds like galloping bureaucratic title inflation […]

## More On True Models And Predictive Inference

Not all models are false. So much we have discussed before. To say a model is false is to show that one of the premises which comprise the model is false. There […]