CaDENCE: Conditional Density Estimation Network Construction and Evaluation

Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, and the like.

AuthorAlex J. Cannon
Date of publication2015-07-23 06:57:04
MaintainerAlex J. Cannon <acannon@eos.ubc.ca>
LicenseGPL-2
Version1.2.3

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