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1.Causal capture effects in chimpanzees (Pan troglodytes)

作者：Toyomi Matsuno^a ; ^b ; ^{toyomi.matsuno@hosei-u.ac.jp" class="auth_mail" title="E-mail the corresponding author} ; Masaki Tomonaga^b

关键词：Causal perception ; Causal illusion ; Chimpanzees ; Nonhuman primates ; Comparative cognition

刊名：Cognition

出版年：2017

2.Design, analysis, and conclusions: Telling a consistent causal story

作者：Spencer E. Harpe ; PharmD ; PhD ; MPH ; ^{sharpe@midwestern.edu}

关键词：Study design ; Analysis ; Internal validity ; Causality ; Causal inference ; Scientific reporting

刊名：Currents in Pharmacy Teaching and Learning

出版年：2017

3.Causal effect analysis for fuzzy cognitive maps designed with non-singleton fuzzy numbers

作者：M. Furkan Dodurka^a ; ^b ; ^{furkan.dodurka@getron.com}Author Vitae ; Engin Yesil^a ; ^b ; ^{engin.yesil@getron.com}Author Vitae ; Leon Urbas^a ; ^{leon.urbas@tu-dresden.de}Author Vitae

关键词：Fuzzy cognitive maps ; Causal relation strength ; Fuzzy numbers ; Ordered fuzzy numbers ; Causal effect ; Static analysis

刊名：Neurocomputing

出版年：2017

4.‘Aesop's fable’ experiments demonstrate trial-and-error learning in birds, but no causal understanding

作者：Stefano Ghirlanda^a ; ^b ; ^c ; ^d ; ^{drghirlanda@gmail.com} ; Johan Lind^d

关键词：Aesop's fable experiment ; causal cognition ; causal understanding ; corvid ; trial-and-error learning

刊名：Animal Behaviour

出版年：2017

5.Wavelet-based test of co-movement and causality between oil and renewable energy stock prices

作者：Juan C. Reboredo^a ; ^{juancarlos.reboredo@usc.es} ; Miguel A. Rivera-Castro^b ; ^marc@ufba.br ; Andrea Ugolini^b ; ^c ; ^{andreaugolini@me.com}

关键词：Oil prices ; Renewable energy ; Wavelets ; Wavelet coherence ; Causality

刊名：Energy Economics

出版年：2017

6.Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries

作者：Jae-Wook Seol^a ; ^{wodnr754@kisti.re.kr} ; Wangjin Yi^b ; ^{jinsamdol@snu.ac.kr} ; Jinwook Choi^c ; ^{jinchoi@snu.ac.kr} ; Kyung Soon Lee^d ; ^{selfsolee@chonbuk.ac.kr}

关键词：Relation extraction ; Clinical semantic unit ; Problem-Action relation ; Causality pattern ; Machine learning

刊名：International Journal of Medical Informatics

出版年：2017

7.Causal discovery in the geosciences—Using synthetic data to learn how to interpret results

作者：Imme Ebert-Uphoff^a ; ^{iebert@engr.colostate.edu} ; Yi Deng^b ; ^{yi.deng@eas.gatech.edu}

关键词：Probabilistic graphical model ; Structure learning ; Causal discovery ; Information flow ; Geoscience ; Climate ; Atmospheric science

刊名：Computers & Geosciences

出版年：2017

8.Do trend extraction approaches affect causality detection in climate change studies?

作者：Xu Huang^a ; Hossein Hassani^b ; ^{hassani.stat@gmail.com} ; Mansi Ghodsi^b ; Zinnia Mukherjee^c ; Rangan Gupta^d

关键词：Trend extraction approaches ; Causality detection ; Convergent Cross Mapping ; Sunspot number ; Global temperature ; Singular Spectrum Analysis

刊名：Physica A: Statistical Mechanics and its Applications

出版年：2017

9.The modulation of causal contexts in motion processes judgment as revealed by P2 and P3

作者：Qingfei Chen^a ; ^b ; ^c ; ^{myth3233@126.com} ; Xiuling Liang^a ; ^d ; Xiaozhe Peng^a ; Yang Liu^e ; Yi Lei^a ; ^{leiyi821@vip.sina.com} ; Hong Li^a ; ^f

关键词：Physical plausibility ; Causal context ; ERP ; P2 ; P300

刊名：Biological Psychology

出版年：2017

10.Beyond intent to treat (ITT): A complier average causal effect (CACE) estimation primer

作者：James L. Peugh ; ^{James.Peugh@cchmc.org} ; Daniel Strotman ; Meghan McGrady ; Joseph Rausch ; Susmita Kashikar-Zuck

关键词：Compliance ; Adherence ; RCT ; Mixture model ; Structural equation model ; Intent to treat ; Complier average causal effect

刊名：Journal of School Psychology

出版年：2017

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