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The Lebesgue Integral: a Curious Tea Party (Part 2)

September 29, 2015 by Will Kurt

Part 2 in our exploration of the Lebesgue Integral

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September 29, 2015 /Will Kurt
September 2015, Measure Theory, Integration
2 Comments

The Lebesgue Integral: A Curious Tea Party (Part 1)

September 15, 2015 by Will Kurt

In this post we use a strange tea party to explore a practical understanding of the Lebesgue integral

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September 15, 2015 /Will Kurt
September 2015, Measure Theory, Integration
10 Comments

Probability Spaces: An Illustrated Introduction

September 01, 2015 by Will Kurt

Using pictures to explain the idea of Probability Spaces in Rigorous Probability Theory

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September 01, 2015 /Will Kurt
September 2015, Measure Theory
8 Comments

Measure Theory for Probability: A Very Brief Introduction

August 18, 2015 by Will Kurt

In this post we discuss an intuitive, high level view of measure theory and why it is important to the study of rigorous probability.

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August 18, 2015 /Will Kurt
August 2015, Integration
9 Comments

The Riemann Integral

August 04, 2015 by Will Kurt

The Fundamental Theorem of Calculus is a beautiful thing, but it fails to describe some very simple integrals. In this post we look at how the Riemann Integral can solve some of these problems.

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August 04, 2015 /Will Kurt
August 2015, Integration
1 Comment

Programming the Fundamental Theorem of Calculus

July 21, 2015 by Will Kurt

In this post we build an intuition for the Fundamental Theorem of Calculus by using computation rather than analytical models of the problem.

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July 21, 2015 /Will Kurt
July 2015, Integration
3 Comments

How Big is the Difference Between Being 90% and 99% Certain?

July 07, 2015 by Will Kurt

People often discuss the idea of being "90% certain" or "99% sure that this is true", but how big is the difference between these two values? It turns out that the difference between these values is similiar to the difference between having $10 and $100 in your wallet.

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July 07, 2015 /Will Kurt
July 2015
20 Comments

Rejection Sampling and Tricky Priors

June 23, 2015 by Will Kurt

We have looked at working with a variety of analytical priors, but how can you sample from a prior probability that is not so mathematically pleasant to work with? In this post we learn about Rejection Sampling as one method of solving this problem.

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June 23, 2015 /Will Kurt
June 2015, parameter estimation
10 Comments
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