1 citations · 1 across the 2 of their papers we have counts for
6 papers
Multiple Imputation Guided by Full Law and Target Law Identifiability
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…
Clustering and Pruning in Causal Data Fusion
Otto Tabell, Santtu Tikka, Juha Karvanen
Data fusion, the process of combining observational and experimental data, can enable the identification of causal effects that would otherwise remain non-identifiable. Although id…
dynamite: An R Package for Dynamic Multivariate Panel Models
Santtu Tikka, Jouni Helske
dynamite is an R package for Bayesian inference of intensive panel (time series) data comprising multiple measurements per multiple individuals measured in time. The package suppor…
Early Warning Signals Appear Long Before Dropping Out: An Idiographic Approach Grounded in Complex Dynamic Systems Theory
Mohammed Saqr, Sonsoles López-Pernas, Santtu Tikka +1
The ability to sustain engagement and recover from setbacks (i.e., resilience) -- is fundamental for learning. When resilience weakens, students are at risk of disengagement and ma…
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…
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…