Introduction As discussed in the previous post, I’ve recently constructed and delivered a short course on statistical computing with Scala. Much of the course is concerned with writing statistical algorithms in Scala, typically making use of the scientific and numerical computing library, Breeze. Breeze has all of the essential tools necessary for building statistical algorithms, … Continue reading scala-glm: Regression modelling in Scala
I’ve recently delivered a three-day intensive short-course on Scala for statistical computing and data science. The course seemed to go well, and the experience has convinced me that Scala should be used a lot more by statisticians and data scientists for a range of problems in statistical computing. In particular, the simplicity of writing fast … Continue reading Statistical computing with Scala free on-line course
auto·di·dact n. A self-taught person. From Greek autodidaktos, self-taught : auto-, auto- + didaktos, taught; + sim·u·late v. To create a representation or model of (a physical system or particular situation, for example). From Latin simulre, simult-, from similis, like; = (If you can get past the mixing of Latin and Greek roots) sim·u·di·dactic adj. To learn by creating a representation or model of a physical system or […]
The second edition of my textbook, Stochastic Modelling for Systems Biology was published on 7th November, 2011. One of the new features introduced into the new edition is an R package called smfsb which contains all of the code examples discussed in the text, which allow modelling, simulation and inference for stochastic kinetic models. The [...]
