<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Deep learning methods for likelihood-free inference :approximating the posterior distribution with convolutional neural networks"^^ . "In this thesis, a fast and likelihood-free approach for parameter inference is introduced. The convolutional neural network, named DeepInference, learns to predict the posterior mean and variance of \r\nmulti-dimensional posterior distributions from raw simulated data. It is shown how DeepInference can be applied to the drift diffusion model (DDM) and the Lévy flight model, a likelihood-free extension of the DDM. For both models, state-of-the-art results in terms of accuracy of parameter estimation are observed."^^ . "2019" . . . . . . . "Ulf Kai"^^ . "Mertens"^^ . "Ulf Kai Mertens"^^ . . . . . . "Deep learning methods for likelihood-free inference :approximating the posterior distribution with convolutional neural networks (PDF)"^^ . . . "Dissertation_A_Ulf_Mertens.pdf"^^ . . . "Deep learning methods for likelihood-free inference :approximating the posterior distribution with convolutional neural networks (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #26383 \n\nDeep learning methods for likelihood-free inference :approximating the posterior distribution with convolutional neural networks\n\n" . "text/html" . . . "004 Informatik"@de . "004 Data processing Computer science"@en . . . "150 Psychologie"@de . "150 Psychology"@en . . . "310 Statistik"@de . "310 General statistics"@en . .