Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

In uncertain times, many readers turn to dystopian. Chloe Gong's cyperpunk novel "Coldwire" goes all in on virtual reality.

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Abstract: Traditional statistical time series forecasting models rely on model identification methods to identify the worthiest model variants to investigate; therefore, the model parameters change ...

Objectives To project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence ...

The Great Storm of 1987 was a forecasting blunder that left at least 18 people dead, felled 15 million trees and caused a billion pounds’ worth of damage. Credit...By Getty Images Supported by By ...

A comprehensive time series analysis project that uses various forecasting techniques to predict book sales and demand patterns. This project analyzes historical sales data from Nielsen BookScan to ...

Prolific author Nicholas Sparks will debut his latest title, “Remain,” on Tuesday. While the story sticks to “The Notebook” and “A Walk to Remember” author’s bread-and-butter of romance, it explores ...

ATLANTA, Oct. 13, 2025 /PRNewswire/ -- In September, the average transaction price (ATP) of a new vehicle in the U.S. was above $50,000 for the first time, according to new estimates released today by ...

Abstract: Measurement data often exhibit multiscale periodicity and nonlinear noise, posing significant challenges for accurate long-term forecasting in modern instrumentation and control systems.