Preserve Gaussian subclasses during marginalization

[FlorianPfaff]

Summary

• preserve the runtime Gaussian subclass in GaussianDistribution.marginalize_out()
• add focused regression coverage for a 2-D derived Gaussian marginalized to 1-D

Bug

marginalize_out() constructed its result with GaussianDistribution(...) directly. A custom subclass therefore silently became the base class after marginalization, even though the adjacent multiply() and convolve() operations now preserve the left-hand subclass after #5385.

Fix

Construct the marginal with type(self)(...), matching the subclass-preserving behavior of the other Gaussian-returning operations.

Regression coverage

The new test constructs a derived 2-D Gaussian, marginalizes one dimension, and verifies that the result remains an instance of the derived class with the expected dimension.

The branch is based on current main after #5385 and changes only the one constructor call plus the focused regression test.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Max errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no		no	8.32s
✅ JSON	prettier	7	0	0		0	0.66s
✅ JSON	v8r	7		0		0	4.59s
✅ MARKDOWN	markdownlint	68	0	0		0	2.12s
✅ MARKDOWN	markdown-table-formatter	68	0	0		0	0.41s
✅ PYTHON	black	2007	22	0		0	66.33s
✅ PYTHON	isort	2007	38	0		0	2.94s
✅ REPOSITORY	betterleaks	yes		no		no	1.32s
✅ REPOSITORY	checkov	yes		no		no	34.71s
✅ REPOSITORY	git_diff	yes		no		no	0.15s
✅ REPOSITORY	secretlint	yes		no		no	104.88s
✅ REPOSITORY	syft	yes		no		no	3.51s
✅ REPOSITORY	trivy-sbom	yes		no		no	2.84s
✅ YAML	prettier	11	0	0		0	0.65s
✅ YAML	v8r	11		0		0	15.89s
✅ YAML	yamllint	11		0		0	0.87s

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