From ec5723afcf5e92759b0f4f4fa82c8aaa77cee2d0 Mon Sep 17 00:00:00 2001 From: Scott Linderman Date: Mon, 22 Jul 2024 13:14:47 -0400 Subject: [PATCH] fixing typo --- paper/paper.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index a781e9da..014bf05d 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -69,7 +69,7 @@ Finally, even for canonical models, there are several algorithms for state infer # Statement of need -`Dynamax` is an open-source Python pacakge for state space modeling. Since it is built with `JAX` [@jax], it supports just-in-time (JIT) compilation for hardware acceleration on CPU, GPU, and TPU machines. It also supports automatic differentiation for gradient-based model learning. While other libraries exist for state space modeling in Python [@pyhsmm; @ssm; @eeasensors; @seabold2010statsmodels; @hmmlearn], `Dynamax` provides a unique combination of low-level inference algorithms and high-level modeling objects that can support a wide range of research applications in JAX. +`Dynamax` is an open-source Python package for state space modeling. Since it is built with `JAX` [@jax], it supports just-in-time (JIT) compilation for hardware acceleration on CPU, GPU, and TPU machines. It also supports automatic differentiation for gradient-based model learning. While other libraries exist for state space modeling in Python [@pyhsmm; @ssm; @eeasensors; @seabold2010statsmodels; @hmmlearn], `Dynamax` provides a unique combination of low-level inference algorithms and high-level modeling objects that can support a wide range of research applications in JAX. The API for `Dynamax` is divided into two parts: a set of core, functionally pure, low-level inference algorithms, and a high-level, object oriented module for constructing and fitting probabilistic SSMs. The low-level inference API provides message passing algorithms for several common types of SSMs. For example, `Dynamax` provides `JAX` implementations for: @@ -86,4 +86,4 @@ The high-level model API makes it easy to construct, fit, and inspect HMMs and l A significant portion of this library was developed while S.W.L. was a Visiting Faculty Researcher at Google and P.C., G.H.D., A.K., and X.L. were Google Summer of Code participants. -# References \ No newline at end of file +# References