Note: The prior variances are given in the space in which parameters are estimated. , ,, and are estimated in logit-space, while , and are estimated in log-space. Prior mean and variance of the per

NIAID Data Ecosystem70

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

参数估计

无似然推断

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

B2FIND30

Marginally Calibrated Deep Distributional Regression

深度神经网络不确定性量化

无似然推断

Deep neural network (DNN) regression models are widely used in applications requiring state-of-the-art predictive accuracy. However, until recently there has been little work on accurate uncertainty q

Figshare2020-08-21 更新10

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

资源简介：

相关数据集