So now, for statistically challenged individuals, I present my translation of Steve’s calculations, Bayesian math for dummies. The Problem Steve’s friend received a positive test for a disease. The disease occurs infrequently in the general population. The test accurately identifies people who have...
Causal Estimation methods for Machine learning and Data Science Part III – Instrument Variable Analysis 1.0 Introduction In the past two blogs of this series we’ve been discussing causal estimation, a very important subject in data science, we delved into causal estimation using regression method ...
We analyse the determinants of Japanese outward FDI stock for the period 1996–2017. • We select the covariates using Bayesian Model Averaging (BMA) analysis. • We analyse changes depending on the degree of development or geographical location. • Japan’s FDI is explained by gravity, ins...
For a survey of the most relevant publications regarding electricity market modelling, see reference [7]. The analysis of elasticity and the competitive structure of the electricity market using demand data has not been so popular. We mention the work of Patrick and Wolak who tried to present ...
2.2. Bayesian Bland–Altman Analysis For the Bayesian perspective, the proposal by Alari, Kim, and Wand was employed, including respective Supplemental Materials [25]. Assuming that the differences follow a normal distribution with mean µ and standard deviation σ and given a pre-specified bench...