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UID:pretalx-sips2025-budapest-B8WA99@pretalx.com
DTSTART;TZID=CET:20250625T142200
DTEND;TZID=CET:20250625T143000
DESCRIPTION:Existing methods to compare idiographic networks are global tes
 ts that indicate the presence/absence of difference. They typically releas
 e the equality constrains for all edges once the global test indicates het
 erogeneity\, which leads to false positive for group difference in network
  structures. We therefore present the invariance partial pruning (IVPP) ap
 proach\, which first evaluate the presence of heterogeneity with network i
 nvariance test and then determine the exact locus of edge equality and dif
 ference with partial pruning. Simulation results indicated that the invari
 ance test based on AIC and BIC performed better than the invariance test b
 ased on LRT\, and partial pruning successfully uncovered specific edge dif
 ference with high sensitivity and specificity. IVPP is an essential supple
 ment to the existing network methodology by allowing the comparison of net
 works from time-series and panel data\, and also allowing the test of spec
 ific edge difference. We implemented the algorithm in the R-package IVPP
DTSTAMP:20260512T185426Z
LOCATION:Second floor 214
SUMMARY:LT11: The Invariance Partial Pruning Approach to The Network Compar
 ison in Longitudinal Data - Xinkai Du
URL:https://pretalx.com/sips2025-budapest/talk/B8WA99/
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