Why We Changed Our Code of Ethics to Address Prediction Markets

In a world where a person can have a financial stake in almost anything, we want our readers to trust that our focus remains ...
GitHub

A comprehensive Python package for hierarchical time series forecasting with support for multiple forecasting methods, reconciliation techniques, and evaluation metrics.

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...
BMJ

Projection of age-standardised mortality rates for 23 cancer types in India: a nationwide projection until 2030 using autoregressive integrated moving average (ARIMA) models

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 ...
Frontiers

Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan

Influenza remains a significant public health challenge worldwide, necessitating robust forecasting models to facilitate timely interventions and resource allocation. The aim of this study was to ...
GitHub

holt-winters-forecasting

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model ...
The Lancet

Burden of disease scenarios by state in the USA, 2022–50: a forecasting analysis for the Global Burden of Disease Study 2021

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bDepartment of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA ...
The Lancet

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, ...