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Prediction with Parameter Uncertainty

1992
The model is the same one that introduced the Bayesian paradigm in Chapter 2. Observations have been obtained from a random variable with known general form, but unknown parameters. Of interest is the value of a future observation whose distribution also depends on these parameters. Of course, this is the traditional actuarial problem. The observations
openaire   +1 more source

A parameter-free KNN for rating prediction

Data & Knowledge Engineering, 2022
Fopa, Medjeu   +3 more
openaire   +1 more source

Prediction and projection of heatwaves

Nature Reviews Earth & Environment, 2022
Reto Knutti   +2 more
exaly  

Masked Prediction: A Parameter Identifiability View

Advances in Neural Information Processing Systems 35, 2022
Bingbin Liu   +3 more
openaire   +2 more sources

Improved protein structure prediction using predicted interresidue orientations

Proceedings of the National Academy of Sciences of the United States of America, 2020
David Baker   +2 more
exaly  

Prediction models in cancer care

Ca-A Cancer Journal for Clinicians, 2011
Andrew J Vickers
exaly  

PREDICTING PHYSIOLOGICAL PARAMETERS

2020
GEORGIOU PANTELIS   +2 more
openaire   +3 more sources

Seasonal Drought Prediction: Advances, Challenges, and Future Prospects

Reviews of Geophysics, 2018
Zengchao Hao, , Youlong Xia
exaly  

A review of data-driven building energy consumption prediction studies

Renewable and Sustainable Energy Reviews, 2018
Kadir Amasyali, Nora El-Gohary
exaly  

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