Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
JSTOR Daily

Small-area population forecasting in an urban setting: a spatial regression approach

Journal of Population Research, Vol. 28, No. 2/3, Local and Small Area Modelling (2011), pp. 185-201 (17 pages) This study revisits a spatial regression approach for small-area population forecasting ...
JSTOR Daily

Reliability of Regression-Corrected Climate Forecasts

ABSTRACT Regression is often used to calibrate climate model forecasts with observations. Reliability is an aspect of forecast quality that refers to the degree of correspondence between forecast ...
Nature

A forecasting method to reduce estimation bias in self-reported cell phone data

There is ongoing concern that extended exposure to cell phone electromagnetic radiation could be related to an increased risk of negative health effects. Epidemiological studies seek to assess this ...
InfoWorld

Introducing BigQuery ML for building predictive models with SQL

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...
InfoWorld

An introduction to time series forecasting

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...