Learning the Likelihood: Using DeepInference for the Estimation of Diffusion...

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In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference...

Learning the Likelihood: Using DeepInference for the Estimation of Diffusion...

In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference...

B2FIND00

Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]

In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning a

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Maximum likelihood estimation of stock volatility using jump-diffusion models

We investigate whether there are systematic jumps in stock prices using the Brownian motion approach and Poisson processes to test diffusion and jump risk, respectively, on Johannesburg Stock Exchange

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Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]

heiDATA2018-06-22 更新10

Maximum likelihood estimation of stock volatility using jump-diffusion models

DataCite Commons2021-02-10 更新30