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Introduction to QuantLib Development - Intensive 3-day Training Course - September 10-12th, 2018 - Download Registration Form Here

## Three-Toed Sloth's Blog

### Lab: Exponentially More Fun (Introduction to Statistical Computing)

In which we play around with basic data structures and convince ourself that the laws of probability are, in fact, right. (Or perhaps that R's random number generator is pretty good.) Also, we learn to use R Markdown. — Getting everyone randomly matched for pair programming with a deck of cards worked pretty well. It would have worked better if the university's IT office hadn't broken R on the lab computers. Lab (and its R Markdown source) Introduction to Statistical Computing

### Rainfall, Data Structures, Sequences (Introduction to Statistical Computing)

In which we practice working with data frames, grapple with some of the subtleties of R's system of data types, and think about how to make sequences. (Hidden agendas: data cleaning; practice using R Markdown; practice reading R help files) Assignment, due at 11:59 pm on Thursday, 4 September 2014 Introduction to Statistical Computing

### Bigger Data Structures (Introduction to Statistical Computing)

Matrices as a special type of array; functions for matrix arithmetic and algebra: multiplication, transpose, determinant, inversion, solving linear systems. Using names to make calculations clearer and safer: resource-allocation mini-example. Lists for combining multiple types of values; access sub-lists, individual elements; ways of adding and removing parts of lists. Lists as key-value pairs. Data frames: the data structure for classic tabular data, one column per variable, one row per...

### Introduction to the Course; Basic Data Types (Introduction to Statistical Computing)

Introduction to the course: statistical programming for autonomy, honesty, and clarity of thought. The functional programming idea: write code by building functions to transform input data into desired outputs. Basic data types: Booleans, integers, characters, floating-point numbers. Operators as basic functions. Variables and names. Related pieces of data are bundled into larger objects called data structures. Most basic data structures: vectors. Some vector manipulations. Functions...

### Class Announcement: 36-350, Statistical Computing, Fall 2014

Fourth time is charm: 36-350, Statistical Computing Instructors: Yours truly and Andrew Thomas Description: Computational data analysis is an essential part of modern statistics. Competent statisticians must not just be able to run existing programs, but to understand the principles on which they work. They must also be able to read, modify and write code, so that they can assemble the computational tools needed to solve their data-analysis problems, rather than distorting problems to fit...

### Books to Read While the Algae Grow in Your Fur, July 2014

Attention conservation notice: I have no taste. Stephen King, Eyes of the Dragon Mind candy. I really liked it when I was a boy, and on re-reading it's not been visited by the Suck Fairy, but I did come away with two thoughts. (1) I'd have been very interested to see what a writer with drier view of political power would have done with the story elements (the two princes, the evil magician, the exiled nobles) — Cherryh, say, or Elizabeth Bear. (2) Speaking of which, it's striking how...

### A Statement from the Editorial Board of the Journal of Evidence-Based Haruspicy

Attention conservation notice: Leaden academic sarcasm about methodology. The following statement was adopted unanimously by the editorial board of the journal, and reproduced here in full: We wish to endorse, in its entirety and without reservation, the recent essay "On the Emptiness of Failed Replications" by Jason Mitchell. In Prof. Mitchell's field, scientists attempt to detect subtle patterns of association between faint environmental cues and measured behaviors, or to relate remote...

### Accumulated Bookchat

Attention conservation notice: I have no taste, and I am about to recommend a lot of books. Somehow, I've not posted anything about what I've been reading since September. So: have October, November, December, January, February, March, April, May, and June.