3 papers
stat.AP2026
Blind Source Separation Can Distort Behavior and Connectivity Analyses of Calcium Transients
Adedayo S. A
Denoising is often treated as a technical prelude to calcium transients analysis, but it can redefine the variables used for behavior decoding and causal structure learning. An ins…
stat.AP2026
Conditioning-Depth Diagnostics for Hidden Memory in Temporal Causal Discovery
S. A. Adedayo
Reliable causal discovery in timeseries requires conditioning sets that capture the system state. When predictive history is omitted, residual dependence can appear as direct causa…
stat.ML2026
Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
S. A. Adedayo
Granger causality (GC) is widely used to infer directed relationships in time-series data. However, its predictive criterion does not by itself distinguish direct causal effects fr…