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First of all, thank you very much for great package ! Incredibly useful. I was wondering if there are any functions to generate trace plots or information plots for item sets (such as the ones provide…
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How can I implement and using LSTM layers for time-series prediction with Tensorflow Probability? There is no any layer for RNN Deep learning in TFP layers in [tfp.layers](https://www.tensorflow.org/p…
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The paper [Weight Uncertainty in Neural Networks](https://arxiv.org/abs/1505.05424) proposes the usage of a mixture of two Gaussians as the prior distribution. By default, the priors (of the kernel an…
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There are some visualisations from other sources that it might be interesting to try to replicate, including the new data.
For example:
1. The Dashboard 4 Scatterplot from the [DataLytix article…
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I am new to Edward.
The samples drawn from the prior in Your first Edward program (Jupyter notebook version) seem to be drawn from qW_0, qW_1, qb_0 and qb_1 instead of W_0, W_1, b_0 and b_1. Shoul…
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Because we only cache the probability distribution, TAQ, and TPQ on cal records for c14 calibrations. I don't want to add HDI to that, because it belongs to specifically to (posterior) radiocarbon dis…
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Hi there,
The first line of the code for the Mandatory coin-flip example creates a random variable as follows:
``rv_coin_flip_prior = tfp.distributions.Bernoulli(probs=0.5, dtype=tf.int32)``
I …
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The `computeBayesianMetaAnalysis()` outputs a posterior distribution for the parameter of interest (i.e. effect size estimate). If we convert that to a likelihood profile we can use it for example to …
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As part of a notebook for pymc (https://github.com/pymc-devs/pymc-examples/pull/241, seen [here](https://github.com/pymc-devs/pymc/pull/5085)) to support the addition of the Generalized Extreme Value …
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Hi all,
Turing includes a useful function [predict](https://github.com/TuringLang/Turing.jl/blob/5990fae9f176e84d83bd119fa4a6b0e68f028493/src/inference/Inference.jl#L463)
for generating posterior…