Kai Jannik Nehler on Muck Rack

Kai Jannik Nehler

As seen in: Taylor & Francis Online
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Articles

Missing Data Handling via EM and Multiple Imputation in Network Analysis using Glasso and Atan Regularization

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By Martin Schultze, Kai Jannik Nehler
| Taylor & Francis Online
Abstract The existing literature on missing data handling in psychological network analysis using cross-sectional data is currently limited to likelihood based approaches. In addition, there is a focus on convex regularization, with the missing handling implemented using different calculations in model selection across various packages.
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