I have come across another jewel in the firmanent. There has been an increasing recognition of the prevalence of reliance on p-values and other related issues of statistical rigor in conduct and reporting in, particularly, biomedical science.
Professor McElreath provides an excellent lecture series to complement his book. There are a number of resources made available. Perhaps, it may not be relevant to all disciplines. Any steps towards a more thoughtful and critical appraisal of knowledge and our interpretations and inferences should be applauded. I believe this is such an endeavour. This has never been more important as “big data” increasingly interacts with our lives.
I was looking through my bookshelf when I came across this book. I had not read it!
The book is ‘old’. However, the delightfully humorous and clear lessons to us remain relevant (and perhaps are even needed more now than ever). The newspaper was a wonderful launching pad for these explorations.
This is another post motivated by a Mathematica Stackexchange post adapting code by user halmir (visualization of a sample of the consecutive decimal representation). The following is visualization of rational which are either finite or recurring).
This post is motivated by an answer on Mathematica Stackexchange.
This is based on the Lotka Volterra predator-prey model.
This is a tentative play with Mathematica 11…in this case solving a 3D heat PDE over cup geometry (free STL format download)…
I thoroughly enjoyed this book from beginning to end.I have read various biographies of some of the notable people in the book. This back examines their ideas and their lives through the lens of current idea maker. The book is a collection of essays by the author. This does not, as one might expect, lead to a disjointed style. Each chapter is self contained but also part of a coherent whole. I particularly enjoyed the chapter on Ada Lovelace (and Charles Babbage). The graphics in the book provide a visual access to these singular minds (some centuries old).
This post is homage to the amazing power of approximation of asymptotics. A finite number of terms of a divergent series can rapidly approach the value of a function while a convergent series needs an extremely large number of terms to get to the same accuracy and precision.
is the illustrative function (chosen as mentioned in Professor Bender lecture on Mathematical Physics). The plot shows the single term Stirling approximation/function (obviously begs the question what algorithm does Mathematica used) v partial sums of power series/function.