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Publications by Daniel Stöckel
CausalTrail: Testing Hypothesis Using Causal Bayesian Networks
F1000Research
Genetics
Molecular Biology
Pharmacology
Biochemistry
Microbiology
Immunology
Medicine
Toxicology
Pharmaceutics
Related publications
The Five-Gene-Network Data Analysis With Local Causal Discovery Algorithm Using Causal Bayesian Networks
Annals of the New York Academy of Sciences
Genetics
Molecular Biology
Biochemistry
Neuroscience
History
Philosophy of Science
Exploiting Causal Independence in Large Bayesian Networks
Knowledge-Based Systems
Software
Information Systems
Management
Artificial Intelligence
Management Information Systems
Graphical Statistical Methods for Studying Causal Effects. Bayesian Networks
Zhournal Novoi Ekonomicheskoi Associacii
Economics
Econometrics
Finance
Testing the Hypothesis of Health Induced Demand in Iran Using the Bayesian Model Averaging
Health Research Journal
Acquisition of Causal Models for Local Distributions in Bayesian Networks
IEEE Transactions on Cybernetics
Control
Systems Engineering
Information Systems
Human-Computer Interaction
Electronic Engineering
Computer Science Applications
Electrical
Software
Commentary: The Need for Bayesian Hypothesis Testing in Psychological Science
Frontiers in Psychology
Psychology
HyPhy: Hypothesis Testing Using Phylogenies
Maternal Age at Childbirth and Offspring Disruptive Behaviors: Testing the Causal Hypothesis
Journal of Child Psychology and Psychiatry and Allied Disciplines
Developmental
Mental Health
Child Health
Educational Psychology
Perinatology
Psychiatry
Pediatrics
A Tutorial on a Practical Bayesian Alternative to Null-Hypothesis Significance Testing
Behavior Research Methods
Developmental
Arts
Psychology
Educational Psychology
Cognitive Psychology
Humanities
Experimental