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This paper gives a computer-intensive approach to multi-step-ahead prediction of volatility in financial returns series under an ARCH/GARCH model and also under a model-free setting, namely employing the NoVaS transformation. Our model-based approach only assumes i..id innovations without...
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comprehensively used Monte Carlo simulation and LSTM Neural Network model to predict the evolution trends of China's industrial carbon …. Then, basing on the Monte Carlo dynamic simulation, we could draw the three kinds of carbon emissions route that it will …
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This paper introduces a novel simulation-based filtering method for general state space models. It allows for the …
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