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  1. Pyro Discussion Forum

    Jun 22, 2025 · Forum For Pyro Developers

  2. Batch processing numpyro models using Ray - forum.pyro.ai

    Mar 14, 2025 · Hello again, Related post: Batch processing Pyro models so cc: @fonnesbeck as I think he’ll be interested in batch processing Bayesian models anyway. I want to run lots of …

  3. numpyro - Pyro Discussion Forum

    Jun 3, 2019 · Forum For Pyro Developers

  4. Help post,shape problem - Pyro Discussion Forum

    Apr 25, 2025 · with pyro.plate("data", x.size(0)): pyro.sample("obs", dist.Normal(mu, sigma), obs=y.squeeze(-1),infer={"scale": annealing_factor}) #obs,真实数据+噪声

  5. Mixture model with discrete data in Numpyro - Pyro Discussion …

    Mar 6, 2024 · Hi. Apologies for the rather long post. I am trying to modify the code from the Gaussian mixture model tutorial (I have also pulled bits of code from various other posts on …

  6. Extra sampling site in manual guide compared to model

    Mar 12, 2025 · i see. this would appear to be a bug/unsupported feature. if you like, you can make a feature request on github (please include a code snippet and stack trace). however, in the …

  7. Use of LogNormal in Numpyro - Pyro Discussion Forum

    Oct 25, 2023 · Hi everyone, I am very new to Numpyro and hierarchical modeling. Recently I have been trying to build a hierarchical model where I have a hyper-prior (theta_group) which …

  8. Speed up Numpyro Model - Pyro Discussion Forum

    Nov 24, 2022 · I’m seeking advice on improving runtime performance of the below numpyro model. Model Description: I have a dataset of L objects. For each object, I sample a discrete …

  9. Handling external log-likelihood functions for NUTS - numpyro

    May 13, 2025 · Hi! I am trying to run NUTS with an external log-likelihood function, implemented in the model as a numpyro.factor, but I am somewhat confused by what the input and output of …

  10. Resources to learn Pyro - Pyro Discussion Forum

    Nov 5, 2020 · Beyond Pyro’s tutorials, a popular community resource for getting started with Bayesian data science is the book “Statistical Rethinking”, for which all code snippets have …