Causal models

Table of contents

Research group type
Research group
Core fields of research
Basic natural phenomena and mathematical thinking
Research areas
Statistics
Faculty
Faculty of Mathematics and Science
Department
Department of Mathematics and Statistics

Research group description

Causality is central for science and decision making. Causal relations are often visualized using graphs. We study causal effect identification. The methods and algorithms we have developed combine experimental and observational data sources and take into account misssing data and selection bias.

Selected publications

Open source R-packages created by the research group

causaleffect Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models Santtu Tikka
santtuth@gmail.com
cfid Identification of Counterfactual Queries in Causal Models Santtu Tikka
santtuth@gmail.com
dosearch Causal Effect Identification from Multiple Incomplete Data Sources Santtu Tikka
santtuth@gmail.com
R6causal R6 Class for Structural Causal Models Juha Karvanen
juha.t.karvanen@jyu.fi

Research group

Group leaders

Juha Karvanen
Juha Karvanen
Professor
Santtu Tikka
Santtu Tikka
Assistant Professor

Members

Otto Tabell
Doctoral Researcher