Fabian Dablander - Concepedia

Author

Fabian Dablander

University of Amsterdam ORCID

Also Known As

Dablander, Fabian, Fabian Dablander

113

Publications

2.7K

Citations

H-Index

Concepts

All Affiliations

University of Amsterdam University of California, Irvine Nyenrode Business University Centrum Wiskunde & Informatica Utrecht University

About

Fabian Dablander is an author at University of Amsterdam specializing in statistics, statistical inference, and bayesian statistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	489
2	Medicine	3	3	95
3	Management	2	2	76
4	Education	1	1	112
5	Language Studies	1	1	116

Fabian Dablander

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
The JASP guidelines for conducting and reporting a Bayesian analysis Johnny van Doorn, Don van den Bergh, Udo Böhm, Psychonomic Bulletin & Review	2020	1K
The JASP Guidelines for Conducting and Reporting a Bayesian Analysis Johnny van Doorn, Don van den Bergh, Udo Bohm, Bayesian StatisticBayesian StatisticsEngineeringBayesian Statistical ReasoningData Science	2019	188
Node centrality measures are a poor substitute for causal inference Fabian Dablander, Max Hinne Scientific Reports	2019	177
How to become a Bayesian in eight easy steps: An annotated reading list Alexander Etz, Quentin F. Gronau, Fabian Dablander, Psychonomic Bulletin & Review Bayesian StatisticBayesian StatisticsEngineeringEasy StepsAutomated Reasoning	2017	116
A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP Don van den Bergh, Johnny van Doorn, Maarten Marsman, Bayesian StatisticBayesian StatisticsQuantitative MethodsBayesian Decision TheoryData Science	2019	112
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations. Fabian Dablander, Anton Pichler, Arta Cika, Psychological Methods Warning SystemAffective NeuroscienceEarly Warning SignalsPsychological SystemsSocial Sciences	2022	55
Multimodality and skewness in emotion time series. Jonas M B Haslbeck, Oisín Ryan, Fabian Dablander Emotion Cognitive ScienceEmotional StatesAffective VariablePsychophysiologyAffective Design	2023	41
The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test Alexander Ly, Angelika Marlene Stefan, Johnny van Doorn, Computational Brain & Behavior Bayesian StatisticEconomicsBayesian StatisticsBayesian MethodologySir Harold Jeffreys	2020	40
An Introduction to Causal Inference Fabian Dablander Causal ModelEngineeringData ScienceGraphical ModelsAutomated Reasoning	2020	38
A clinical PREMISE for personalized models: Toward a formal integration of case formulations and statistical networks. Julian Burger, Sacha Epskamp, Date C. van der Veen, Journal of Psychopathology and Clinical Science Bayesian StatisticEngineeringBayesian InferenceData ScienceManagement	2022	38

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