Scientific machine learning is a burgeoning discipline which blends scientific computing and machine learning. Traditionally, scientific computing focuses on large-scale mechanistic models, usually...
Read ItThis is just an exploration of some new neural models I decided to jot down for safe keeping. DiffEqFlux.jl gives you the differentiable programming tools to allow you to use any DifferentialEquati...
Read ItMany times a scientist is choosing a programming language or a software for a specific purpose. For the field of scientific computing, the methods for solving differential equations are one of the ...
Read ItThis paper presents the prove of Taylor expansion in one variable by the concept of binomial theorem, Taylor series concepts in curves and an expository piece on the asymptote of an algebraic cur...
Read ItIntroduction The American novelist Ben Ames Williams frequently contributed short stories, serials, and articles to the periodical The Saturday Evening Post. While themes in mathematics were s...
Read ItDifferential geometry is a powerful tool in various branches of science, especially in theoretical physics. Ordinary differential geometry requires differentiable manifolds. This research paper ...
Read ItPublished to The Winnower 2015/10/20. A properly formatted PDF of this paper can be downloaded here (not sized to A4 sheets). Abstract Two new approaches to spatial autocorrelation (SAC) were exami...
Read ItThis blog post is an abridged and translated version of my blog post in Dutch. A version of this blog post, further abridged to fit within the 500 word limit, has been submitted to PNAS as comment...
Read ItToday on Twitter there was some chatting about one-sided p-values. Daniel Lakens thinks that by 2018 we'll see a renaissance of one-sided p-values due to the advent of preregistration. There was a...
Read ItIt’s a commonplace to compare Gödel’s theorem to the liar paradox: The sentence This sentence is not true. is neither true nor false. Switch out “provable” for “true” and you get This sentence is n...
Read ItI like p-curve analyses. They are a great tool to evaluate whether sets of studies have evidential value or not. In a recent paper, Simonsohn, Nelson, & Simmons (2014) show how p-curve analyses...
Read ItIntraclass correlation (ICC) is one of the most commonly misused indicators of interrater reliability, but a simple step-by-step process will get it right. In this article, I provide a brief revie...
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