# Quantitative Meditations Math, CS, Data

Hi, I’m David. This blog is about mathematics, computer science, and data analysis. They make for a dangerously powerful combination, and I strive to continually develop my expertise in all three.

The posts listed below include tutorials, solved math problems, practical advice, and other thoughts.

## Posts

- 21 Dec 2014 » All Scrabble Hooks for Three-letter Words
- 21 Sep 2014 » Comparing Affine Linear Gaussian DAGs and Gaussian Graphical Models
- 13 Oct 2013 » Smoothing Data
- 06 Oct 2013 » Getting Geographical Coordinates in R
- 08 Aug 2013 » Recommended Reading
- 23 Jun 2013 » The Null Lineup
- 03 Apr 2013 » Spline Derivatives
- 27 Mar 2013 » Using a Spline Basis on Phoneme Data
- 15 Mar 2013 » Bivariate Normal Expectation of Product of Squares
- 27 Feb 2013 » Comparing Classification Algorithms for Handwritten Digits
- 19 Feb 2013 » Minimax Set Example
- 17 Feb 2013 » The Importance of Random Sampling
- 16 Feb 2013 » Comparing Prediction Methods
- 15 Feb 2013 » Ridge Regression Degrees of Freedom
- 12 Feb 2013 » Numerical Derivatives in R
- 07 Feb 2013 » Expected Number of Steps of a Markov Process
- 29 Jan 2013 » Comparing k-Nearest Neighbors and Linear Regression
- 20 Jan 2013 » Resolving Stein's Paradox
- 14 Jan 2013 » Single-Stock Circuit Breakers
- 10 Jan 2013 » Processing TAQ Data
- 08 Jan 2013 » Volatility Profiles
- 05 Jan 2013 » Historical Market Capitalization
- 30 Dec 2012 » Estimating Stock Volatility
- 29 Dec 2012 » An Unbiased Estimator for Normal Standard Deviation
- 28 Dec 2012 » The Black-Scholes Model
- 10 Dec 2012 » Method of Types
- 27 Nov 2012 » Rejection Sampling
- 24 Nov 2012 » Rejection Sampling Proof
- 20 Nov 2012 » Sampling from an Arbitrary Density
- 17 Nov 2012 » Perfectly Correlated Random Variables
- 17 Nov 2012 » Including Python Code in an R Package
- 17 Nov 2012 » Including C Code in an R Package
- 16 Nov 2012 » How to Become a Quant