Peter James Thomas
JUNE 20, 2019
The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019. Here we come back to the upward trend in searches for Data Science. – CIO.com 2010. “61%
The Unofficial Google Data Science Blog
JULY 11, 2017
SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The Unofficial Google Data Science Blog
AUGUST 27, 2019
The bucketing method also changes the importance sampling to a stratified sampling setting, and allows us to use binomial confidence intervals to estimate the uncertainty of our estimate (more on that later). Statistical Science. Statistics in Biopharmaceutical Research, 2010. [4] High Risk 10% 5% 33.3% How Many Strata?
The Unofficial Google Data Science Blog
JULY 22, 2020
For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. From a Bayesian perspective, one can combine joint posterior samples for $E[Y_i | T_i=t, E_i=j]$ and $P(E_i=j)$, which provides a measure of uncertainty around the estimate. ACM, 2017. [4] 5] Imbens, Guido W.,
The Unofficial Google Data Science Blog
MARCH 31, 2016
In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. Applied Stochastic Models in Business and Industry, 26 (2010): 639-658. [10] bandit problems). 2005): 301-320. [9] 9] Steven L. 10] Steven L.
Expert insights. Personalized for you.
55 
Let's personalize your content