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In particular, Philipp's recent focus lies on maximum penalized likelihood frameworks for models where the original maximum likelihood estimator does not exist under certain data configurations, or where signal recovery and inferential performance break down in high-dimensional settings.

Data verified 9/6/2026Source

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