Generalized Partitioned Local Depth
Generalized Partitioned Local Depth is a scholarly work, published in 2024 in ''Journal of Statistical Theory and Practice''. The main subjects of the publication include anomaly detection, multicollinearity, applied mathematics, mathematics, and cluster analysis. The work sheds light on the foundations of partitioned local depth, and extends the original ideas to enable probabilistic consideration of uncertain, variable and potentially conflicting information..