# 2354 search results for "Time Series"

## Prediction Intervals for Poisson Regression

December 20, 2015
By

Different from the confidence interval that is to address the uncertainty related to the conditional mean, the prediction interval is to accommodate the additional uncertainty associated with prediction errors. As a result, the prediction interval is always wider than the confidence interval in a regression model. In the context of risk modeling, the prediction interval

December 18, 2015
By

My screen has been filled with ads from BayesiaLab since I downloaded their free book. Just as I began to have regrets, I received an email invitation to try out their demo datasets. I was especially interested in their perfume ratings data. In this mo...

## Integrating Python and R Part III: An Extended Example

December 18, 2015
By

By Chris Musselle This is the third post in a three part series where I have explored the options available for including both R and Python in a data analysis pipeline. See post one for some reasons on why you … Continue reading →

## Teaching with RStudio

The RStudio IDE is a central component of the R software ecology that makes it easier to code in R, or to use R with other tools. This note discusses its use in a teaching environment. Most of my teaching experience lies with Stata, but in recent years, I have also experimented teaching with R and RStudio...

## Vacancies in the Netherlands

December 12, 2015
By

Over the last couple of years, each weekend I have registering how many vacancies websites claim to have. This post shows some of the observations one may draw from the plots.DataData is from general and more specialized websites. The first observation...

## Sequential Analysis

December 11, 2015
By

We here at Win-Vector LLC been working through an ad-hoc series about A/B testing combining elements of both operations research and statistical points of view. A dynamic programming solution to A/B test design Why does designing a simple A/B test seem so complicated? A clear picture of power and significance in A/B tests Bandit Formulations … Continue reading...

## Seasonal mortality trend decomposition

December 10, 2015
By

I recently wrote a blog on trends and seasonal variation in fruit and veg wholesale prices provided by DEFRA. It was using a beatiful technique called ‘STL’ or seasonal-trend decomposition via loess. Just now I spotted a dataset from the Office for National Statistics on winter mortality. ONS highlight that: last winter was a particularly high winter...

## Wald’s graphical sequential inspection procedure

December 10, 2015
By

by John Mount Ph.D. Data Scientist at Win-Vector LLC Our most recent article was a dynamic programming solution to the A/B test problem. Explicitly solving such dynamic programs is a long and tedious process, so you are well served by finding and introducing clever invariants to track (something better than just raw win-rates). This clever idea, called "sequential analysis",...

## Using Apache SparkR to Power Shiny Applications: Part I

December 8, 2015
By

This post was first published on SparkIQ Labs’ blog and re-posted on my personal blog. Introduction The objective of this blog post is demonstrate how to use Apache SparkR to power Shiny applications. I have been curious about what the use cases for a “Shiny-SparkR” application would be and how to develop and deploy such an app.

## The Topology Underlying the Brand Logo Naming Game: Unidimensional or Local Neighborhoods?

December 4, 2015
By

You can find the app on iTunes and Google Play. It's a game of trivial pursuits - here's the logo, now tell me the brand. Each item is scored as right or wrong, and the players must take it all very seriously for there is a Facebook page with cheat she...