Data Analysis

I'm afraid I only got about half way through this, and will return to it once I've brushed up on my vector calculus, as some of the maths was very unfamiliar to me (I suspect it's written with experimental scientists with a background in physics or engineering in mind, rather than compsci geeks). Despite that though, I think I managed to absorb a lot of the principles of and the rationale behind the bayesian approach to statistical analysis, and I look forward to understanding the detail once I've dealt with some of the mathematical dependencies!