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Forecasting the COVID-19 vaccine uptake rate: An infodemiological study in the U…
A year following the initial COVID-19 outbreak in China, many countries have approved emergency vaccines. Public-health practitioners and policymakers must understand the predicted populational willingness for vaccines and implement relevant stimulat...
Early detection of disease outbreaks and non-outbreaks using incidence data
Forecasting the occurrence and absence of novel disease outbreaks is essential for disease management. Here, we develop a general model, with no real-world training data, that accurately forecasts outbreaks and non-outbreaks. We propose a novel frame...
aeon: a Python toolkit for learning from time series
aeon is a unified Python 3 library for all machine learning tasks involving time series. The package contains modules for time series forecasting, classification, extrinsic regression and clustering, as well as a variety of utilities, transformations...
Why does the weather channel provide diff… - Apple Community
Jul 19, 2023 · Prior to iOS 15.2, some temperature and precipitation map data was provided by the Weather channel. Afterward, it is simply Apple Weather and next-hour precipitation forecasts and …
Optimism bias - Wikipedia
displaying short descriptions of redirect targets Positive illusions – Unrealistically favorable attitudes Reference class forecasting – Method of predicting
Assessment and added value estimation of an ensemble approach with a focus on gl…
The assessment of the high-resolution ensemble weather prediction system COSMO-DE-EPS is achieved with the perspective of using it for renewable energy applications. The performance of the ensemble forecast is explored focusing on global radiation, t...
Kamala Harris suddenly becomes favorite to win in top election forecast
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Forecasting euro area inflation using a huge panel of survey expectations
In this paper, we forecast euro area inflation and its main components using an econometric model which exploits a massive number of time series on survey expectations for the European Commission's Business and Consumer Survey. To make estimation of...
UnitedHealth suspends annual forecast, CEO Andrew Witty steps down
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National Weather Service - Wikipedia
The National Weather Service (NWS) is an agency of the United States federal government that is tasked with providing weather forecasts, warnings of hazardous
Higgs-Dilaton Cosmology: An inflation - dark energy connection and forecasts for…
The Higgs-Dilaton model is a scale-invariant extension of the Standard Model non-minimally coupled to gravity and containing just one additional degree of freedom on top of the Standard Model particle content. This minimalistic scenario predicts a se...
Despite warnings that Trump’s cuts to the National Weather Service would degrade…
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Meteorologist - Wikipedia
mathematical models and knowledge to prepare daily weather forecasts are called weather forecasters or operational meteorologists. Meteorologists work in government
World population will decline much faster than the UN forecasted, especially for…
Since 2019, the UN has made the [same incorrect forecast](https://ourworldindata.org/grapher/fertility-rate-with-projections?country=More+developed+regions~OWID_HIC) every revision, which is fertili...
Demand forecasting - Wikipedia
MSE measure the magnitude of error, they typically treat over-forecasts and under-forecasts symmetrically. However, in supply chain and financial contexts
Duolingo slides 22% after hours on poor forecast
This stock was $530 at the end of May 2025. 8 months later it's now at $91....
lds133/weather_landscape
Visualizing Weather Forecasts Through Landscape Imagery (⭐ 1789)
Currently raining despite 0% chance in the forecast
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ourownstory/neural_prophet
NeuralProphet: A simple forecasting package (⭐ 4251)