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Joint Prediction Regions for time-series models
The method under study is based on bootstrapping and is applied to different datasets (Min Temp, Sunspots), using different predictors (e. g. ARIMA and LSTM).
MixerFlow for Image Modelling
Normalising flows are statistical models that transform a complex density into a simpler density through the use of bijective transformations enabling both density estimation and data generation from a single model.
Kernelised Normalising Flows
Normalising Flows are non-parametric statistical models characterised by their dual capabilities of density estimation and generation.
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