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fix: references to external method
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coreax/solvers/coresubset.py

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@@ -446,8 +446,7 @@ class SteinThinning(
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:meth:`~coreax.kernels.ScalarValuedKernel.compute_mean`.
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:param unroll: Unroll parameter passed to
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:meth:`~coreax.kernels.ScalarValuedKernel.compute_mean`.
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:param kde_bw_method: Bandwidth method passed to
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:meth:`jax.scipy.stats.gaussian_kde`.
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:param kde_bw_method: Bandwidth method passed to `jax.scipy.stats.gaussian_kde`.
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"""
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kernel: ScalarValuedKernel
@@ -480,7 +479,7 @@ def refine(
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Only the score function, :math:`\nabla \log p(x)`, is provided to the
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solver. Since the lambda regularisation term relies on the density,
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:math:`p(x)`, directly, it is estimated using a Gaussian kernel density
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estimator using :meth:`jax.scipy.stats.gaussian_kde`. The bandwidth
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estimator using `jax.scipy.stats.gaussian_kde`. The bandwidth
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method for this can passed as kde_bw_method when initialising
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:class:`SteinThinning`.
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