Hi, This is the first time I am trying out a Bayesian model, so please bear with me. I am trying to perform Weibull Regression with some covariates. I have Standardised the dataset and I am trying out the following model: n_dim = training_data_norm.shape[1] X_ = shared(training_data_norm) with p…

Thanks for your reply. Sorry, I should have checked FAQ first. I suspected the ‘tt.nnet.relu’ was resulting in -inf. Changed it to tt.log( 1+ exp(beta.dot(X_T)). It was working fine. I have another question regarding the range of the target variable. The current max value is very high. Standard…

Glad the FAQ could help :slight_smile: I’m not familiar with the Weibull distribution, but there are a lot of ways to rescale your data besides the classical standardization. For instance, I think you could rescale your data on an interval, like [0, 1], and that way the sampler won’t have a hard ti…

Thanks @AlexAndorra for your prompt replies. Sure, I will try out rescaling and see if I get any better results.

Weibull Regression with Covariates Sampling Error

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AlexAndorra June 14, 2020, 7:52pm 2

Hi,
Thanks for your question. Bad initial energy error can have several causes. We have an FAQ about this that should help you.
PyMCheers

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Weibull Regression with Covariates Sampling Error

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