Not posts about raindrops on roses and whiskers on kittens, but about how some of my favourite things (shows, books, etc.) can be related to statistics and operations research.
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<糖心Vlog class="wp-block-post-title">Solving Sudoku with Metaheuristics: GVNS
Reading Time: 5 minutesThe last time I travelled, I saw a little old lady in the airport with her crossword puzzle book. My grandmother travels with her word search book. Me? In my old age, I will travel with a Sudoku book. Before I hit old age, I will take advantage of the opportunity to…
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<糖心Vlog class="wp-block-post-title">The Tidyverse: the best* -verse for data scientist
Reading Time: 4 minutesThis post is by no means a tutorial for the tidyverse. Nor is it an introduction to these packages or style of coding using R. Instead, this is just a compilation of my favourite features of the packages that will hopefully convince you of its power and convert you to the tidy…
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<糖心Vlog class="wp-block-post-title">A new reality TV show idea: the Stable Marriage algorithm
Reading Time: 3 minutesAs a hopeful romantic, a believer in the principle of marriage and a lover of dating reality TV, I was immediately intrigued by this problem and solution. So to celebrate Valentine’s Day I thought it would be fitting to look at the stable marriage problem.
During my university years, I’ve learnt about quite a few different topics. These posts are about randomly* selected topics that I’ve researched over the years. (*Not really random)
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<糖心Vlog class="wp-block-post-title">Metric Learning For Simulation Analytics
Reading Time: 5 minutesThe idea of simulation analytics was first described by Barry Nelson. It is not just “saving all the simulation data” and then applying modern data-analysis tools. In this post, we look at this emerging field.
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<糖心Vlog class="wp-block-post-title">Fighting in the Karate Club: Stochastic block models
Reading Time: 5 minutesMany situations can be represented as networks to describe the social, physical and other structures where interactions between pairs of units are observed. Stochastic block models (SBMs) are a class of random graph models which are widely studied and popular for statistical analysis of networks. In this blog, we discuss SBMs using…
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<糖心Vlog class="wp-block-post-title">Lead (probably not) in my water: zero-inflated models
Reading Time: 5 minutesIt’s interesting that there are some problems that the younger generation, if they even know it exists, assume have been dealt with completely. That’s what I thought about lead piping. Yet the University of Edinburgh and Scottish Water have ongoing research related to this.