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Updates links in users guide example Jupyter notebooks
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docsrc/users-guide/examples/MCMC Sampling.ipynb

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"generated quantities variables, reported on the constrained scale.\n",
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"\n",
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"The [CmdStanModel sample](https://mc-stan.org/cmdstanpy/api.html#cmdstanpy.CmdStanModel.sample) method\n",
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"wraps the CmdStan [sample](https://mc-stan.org/docs/cmdstan-guide/mcmc-config.html) method.\n",
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"wraps the CmdStan [sample](https://mc-stan.org/docs/cmdstan-guide/mcmc_config.html#running-the-sampler) method.\n",
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"Underlyingly, the CmdStan outputs are a set of per-chain Stan CSV files.\n",
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"In addition to the resulting sample, reported as one row per draw,\n",
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"the Stan CSV files encode information about the inference engine configuration\n",

docsrc/users-guide/examples/VI as Sampler Inits.ipynb

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"\n",
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"In this example we show how to use the parameter estimates return by Stan's variational inference algorithms\n",
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"[pathfinder ](https://mc-stan.org/docs/cmdstan-guide/pathfinder-config.html) and \n",
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"[ADVI ](https://mc-stan.org/docs/cmdstan-guide/variational-config.html) \n",
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"[ADVI ](https://mc-stan.org/docs/cmdstan-guide/variational_config.html) \n",
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"as the initial parameter values for Stan's NUTS-HMC sampler.\n",
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"By default, the sampler algorithm randomly initializes all model parameters in the range uniform\\[-2, 2\\]. When the true parameter value is outside of this range, starting from the estimates from Pathfinder and ADVI will speed up and improve adaptation.\n",
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"\n",

docsrc/users-guide/examples/Variational Inference.ipynb

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"### Example: variational inference for model ``bernoulli.stan``\n",
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"\n",
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"The [CmdStanModel variational](https://mc-stan.org/cmdstanpy/api.html#cmdstanpy.CmdStanModel.variational) method\n",
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"wraps the CmdStan [variational](https://mc-stan.org/docs/cmdstan-guide/variational-config.html) method."
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"wraps the CmdStan [variational](https://mc-stan.org/docs/cmdstan-guide/variational_config.html) method."
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]
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{

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