probability
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Probabilistic reasoning and statistical analysis in TensorFlow
Is there a way to define bounds for the tfp.optimizer.lbfgs_minimize similar to the scipy implementation of lbfgs? Thanks.

This might turn out to clarification, but feel free to let me know and I can close it. In the simplest cases of [LocalLevel](https://github.com/tensorflow/probability/blob/v0.15.0/tensorflow_probability/python/sts/components/local_level.py#L302-L311) [LocalLinearTrend](https://github.com/tensorflow/probability/blob/v0.15.0/tensorflow_probability/python/sts/components/local_linear_trend.py#L382-L390) the highlighted lines above define...
Hi all, I'm trying to figure out if there is an implemented, general way of taking a tfp.distribution, repeating certain batch members, and making a new distribution to sample from....
I'm noticing issues very time we update the requirement of tensoflow for this check: https://github.com/tensorflow/probability/blob/40b18076b53d7c6e22e1fa5f95d805be0cfa0cc1/tensorflow_probability/python/__init__.py#L52-L64 It would be nice if we could add an option to `extras_require` so that it...
tfp.sts.Autoregressive provides AR modeling. Does tfp.sts have a class or function that provides MA or ARMA modeling?
Hi, all System information OS Platform and Distribution: Linux Ubuntu 20.04 Tensorflow version : 2.6.0 Tensorflow probability version: 0.13.0 Python version: 3.8.10 When trying to compute the [well documented](https://www.tensorflow.org/probability/api_docs/python/tfp/distributions/StudentT) quantile...
I get the following error " ImportError: cannot import name 'partial' from 'jax.util' " If I execute the following code: " import tensorflow_probability.substrates.jax as tfp ". The problem is that...
`GibbsKernel` is a `tfp.mcmc.TransitionKernel` that allows a sequence of transitional kernels to be bundled together to sequentially update different parts of a full state. Currently the semantic is to map...