Tag: Randomization (5)

• What Does a Lady Tasting Tea Have to Do with Science? - May 31, 2019.
  
  Design of Experiments (DOE) is a statistical concept used to find the cause-and-effect relationships. Surprisingly, an experiment arising from a casual conversation about tea-drinking is one of the first examples of an experiment designed using statistical ideas.

  Tags: Design of Experiments, Randomization, Statistics

• Are Vectorized Random Number Generators Actually Useful? - Aug 28, 2018.
  
  I reported that you can multiply the speed of common (fast) random number generators such as PCG and xorshift128+ by a factor of three or four by vectorizing them using SIMD instructions. Is this actually useful in practice?

  Tags: Parallelism, Programming, Random, Randomization

• The Surprising Complexity of Randomness - Jun 15, 2017.
  
  The reason we have pseudorandom numbers is because generating true random numbers using a computer is difficult. Computers, by design, are excellent at taking a set of instructions and carrying them out in the exact same way, every single time.

  Tags: Complexity, Probability, Random, Randomization

• Embrace the Random: A Case for Randomizing Acceptance of Borderline Papers - May 16, 2016.
  
  A case for using randomization in the selection of borderline academic papers, a particular use case which has parallels with many other possible scenarios.

  Tags: Academics, ICML, NIPS, Random, Randomization

• 3 Ways to Test the Accuracy of Your Predictive Models - Feb 8, 2014.
  
  3 different methods for testing accuracy of predictive models from 3 leading analytics experts - Karl Rexer, John Elder, and Dean Abbott explain using lift charts, randomization testing, and bootstrap sampling.

  Tags: Bootstrap sampling, Dean Abbott, Decile tables, John Elder, Karl Rexer, Lift charts, Predictive Models, Randomization, Target shuffling