Probability

Continuous dispersal on a discrete lattice

September 27, 2012 | Corey Chivers

Dispersal is a key process in many domains, and particularly in ecology. Individuals move in space, and this movement can be modelled as a random process following some kernel. The dispersal kernel is simply a probability distribution describing the distance travelled in a given time frame. Since space is continuous, ... [Read more...]

An update on visualizing Bayesian updating

August 17, 2012 | Corey Chivers

A while ago I wrote this post with some R code to visualize the updating of a beta distribution as the outcome of Bernoulli trials are observed. The code provided a single plot of this process, with all the curves overlayed on top of one another. Then John Myles White (... [Read more...]

Simulation: The modeller’s laboratory

August 10, 2012 | Corey Chivers

In his 2004 paper in Trends in Ecology and Evolution, Steven Peck argues: Simulation models can be used to mimic complex systems, but unlike nature, can be manipulated in ways that would be impossible, too costly or unethical to do in natural systems. Simulation can add to theory development and testing, ... [Read more...]

Simulating Euro 2012

June 11, 2012 | Corey Chivers

Why settle for just one realisation of this year’s UEFA Euro when you can let the tournament play out 10,000 times in silico? Since I already had some code lying around from my submission to the Kaggle hosted 2010 Take on the Quants challenge, I figured I’d recycle it for ... [Read more...]

R Workshop: Reproducible Research using Sweave for Beginers

April 27, 2012 | Corey Chivers

Monday, April 30, 2012  14h-16h. Stewart Biology Rm w6/12 (Montreal) guRu: Denis Haine (Université de Montréal) Topics Reproducible research was first coined by Pr. Jon Claerbout, professor of geophysics at Stanford University, to describe that the results from researches can be replicated by other scientists by making available data, procedures, ... [Read more...]

Montreal R Workshop: Quantile Regression

April 17, 2012 | Corey Chivers

Stewart Biology Building, McGill University (Rm N4/17) Monday, April 24, 2012  14h-16h Dr. Arthur Charpentier (UQàM) In this workshop we will examine difference concepts related to quantiles, and practical issues based on R codes. This workshop will present quantile regression, and the idea of iterative least square estimation. It will ... [Read more...]

Playing with fire (or water)

April 2, 2012 | arthur charpentier

A few days ago, http://www.futilitycloset.com/ published a short post based on the fourth problem of the 1987 Canadian Mathematical Olympiad (from on a problem from the 6th All Soviet Union Mathematical Competition in Voronezh, 1966). The problem i... [Read more...]

Sunday evening, stupid games…

April 1, 2012 | arthur charpentier

This evening, while I was about to wash the dishes, I heard my elders starting a game (call them Him and Her) Him: "I have picked - in my head - a number, lower than 50. Try to guess..." Her: "No way, too difficult..." Him: "You can try five differ... [Read more...]

Ruin probability and infinite time

March 27, 2012 | arthur charpentier

A couple of weeks ago, I had a discussion with a practitioner, working in some financial company, about ruin, and infinite time. And it remind me a weird result. Well, not a weird result, but a result I found disturbing, at first, when I was a stud... [Read more...]

Montreal R Workshop: Introduction to Bayesian Methods

March 22, 2012 | Corey Chivers

Monday, March 26, 2012  14h-16h, Stewart Biology N4/17 Corey Chivers, Department of Biology McGill University This is a meetup of the Montreal R User Group. Be sure to join the group and RSVP. More information about the workshop here. Topics Why would we want to be Bayesian in the first place?  ... [Read more...]

π Day Special! Estimating π using Monte Carlo

March 14, 2012 | Corey Chivers

In honour of π day (03.14 – can’t wait until 2015~) , I thought I’d share this little script I wrote a while back for an introductory lesson I gave on using Monte Carlo methods for integration. The concept is simple – we can estimate the area of an object which is inside another ... [Read more...]
1 2 3

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)