41 citations · 112 across the 21 of their papers we have counts for
4 papers · 1 filter
Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes
Mohammed Saqr, Sonsoles López-Pernas, Tiina Törmänen +3
This paper presents a novel learning analytics method: Transition Network Analysis (TNA), a method that integrates Stochastic Process Mining and probabilistic graph representation…
Monotone Missing Data: A Blessing and a Curse
Santtu Tikka, Juha Karvanen
Monotone missingness is commonly encountered in practice when a missing measurement compels another measurement to be missing. Because of the simpler missing data pattern, monotone…
Multiple Imputation Guided by Full Law and Target Law Identifiability under the Missing Not At Random Assumption
Juha Karvanen, Santtu Tikka
The central challenges in missing data models concern the identifiability of two distributions: the target law and the full law. The target law refers to the joint distribution of…
Full Law Identification under Missing Data with Categorical Variables
Santtu Tikka, Juha Karvanen
Missing data may be disastrous for the identifiability of causal and statistical estimands. In graphical missing data models, colluders are dependence structures that have a specia…