A Bayesian method for comparing hypotheses about human trails

DOI:	https://doi.org/10.1145/3054950
URL:	https://dl.acm.org/doi/abs/10.1145/3054950
Additional URL:	https://www.researchgate.net/publication/317931249...
Document Type:	Article
Year of publication:	2017
The title of a journal, publication series:	ACM Transactions on the Web : TWEB
Volume:	11
Issue number:	3, Article 14
Page range:	1-29
Place of publication:	New York, NY
Publishing house:	ACM
ISSN:	1559-1131 , 1559-114X
Publication language:	English
Institution:	Business School > Data Science in the Economic and Social Sciences (Strohmaier, 2022-)
Subject:	004 Computer science, internet 330 Economics
Keywords (English):	human trails , paths , sequences , hypotheses , web , sequential human behavior , Markov chain , Bayesian statistics

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

BASE: Singer, Philipp ; Helic, Denis ; Hotho, Andreas ; Strohmaier, Markus

Google Scholar: Singer, Philipp ; Helic, Denis ; Hotho, Andreas ; Strohmaier, Markus

ORCID: Singer, Philipp, Helic, Denis, Hotho, Andreas and Strohmaier, Markus

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