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Update to Stan 2.38.0 (#309)
* Bump stan from `1357c13` to `3bf5673` Bumps [stan](https://github.com/stan-dev/stan) from `1357c13` to `3bf5673`. - [Release notes](https://github.com/stan-dev/stan/releases) - [Commits](stan-dev/stan@1357c13...3bf5673) --- updated-dependencies: - dependency-name: stan dependency-version: 3bf56735b3936b75961ebea5382e72d6354119d5 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> * Update README and Makefile --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Brian Ward <bward@flatironinstitute.org>
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Makefile

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include $(MATH)make/libraries
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# Set -fPIC globally since we're always building a shared library
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override CXXFLAGS += -fPIC -fvisibility=hidden -fvisibility-inlines-hidden
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override CXXFLAGS += -fPIC
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override CXXFLAGS_SUNDIALS += -fPIC
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# visibility control
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override CXXFLAGS += -fvisibility=hidden -fvisibility-inlines-hidden
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override CPPFLAGS += -DBRIDGESTAN_EXPORT -DSTAN_OVERRIDE_EIGEN_ASSERT
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ifdef STAN_OPENCL
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STANC_DL_RETRY = 5
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STANC_DL_DELAY = 10
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STANC3_TEST_BIN_URL ?=
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STANC3_VERSION ?= v2.37.0
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STANC3_VERSION ?= v2.38.0
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ifeq ($(OS),Windows_NT)
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OS_TAG := windows

README.md

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models. For an introduction to what can be coded in Stan, see the
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[*Stan User's Guide*](https://mc-stan.org/docs/stan-users-guide/index.html).
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BridgeStan is currently shipping with Stan version 2.37.0
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BridgeStan is currently shipping with Stan version 2.38.0
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Documentation is available at https://roualdes.us/bridgestan/
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- https://github.com/xhep-lab/polystan
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<!-- https://github.com/search?q=bridgestan+NOT+repo%3Aroualdes%2Fbridgestan+NOT+is%3Afork&type=code -->
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## Research using BridgeStan
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If you use BridgeStan in your research, please consider citing [our JOSS paper](https://joss.theoj.org/papers/10.21105/joss.05236)
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- [*Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix*](https://arxiv.org/abs/2410.11067)
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- [*Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo*](https://arxiv.org/abs/2406.02741)
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- [*MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms*](https://arxiv.org/abs/2501.03138)
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- [*Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling*](https://arxiv.org/abs/2510.19133)
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- [*Fisher meets Feynman: score-based variational inference with a product of experts*](https://arxiv.org/abs/2510.21598)
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- [*Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry*](https://arxiv.org/abs/2511.01064)
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<!-- https://search.arxiv.org/?query=bridgestan&byDate=1 -->
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## Acknowledgements
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