Sökresultat - "Causal inference"

CAUSAL INFERENCE GROUNDED IN CAUSAL DIAGRAMS: BENEFITS, LIMITATIONS, AND OPPORTUNITIES FOR THE INFORMATION SYSTEMS FIELD.

Tafti, Ali¹ atafti@uic.edu, Shmueli, Galit² galit.shmueli@iss.nthu.edu.tw

Graph-enabled cognitive digital twins for causal inference in maintenance processes.

Lim, Kendrik Yan Hong^1,2 (AUTHOR), Yosal, Theresia Stefanny¹ (AUTHOR), Chen, Chun-Hsien¹ (AUTHOR) mchchen@ntu.edu.sg, Zheng, Pai³ (AUTHOR), Wang, Lihui⁴ (AUTHOR), Xu, Xun⁵ (AUTHOR)

Mega or Micro? Influencer Selection Using Follower Elasticity.

Tian, Zijun (AUTHOR) ztian@wustl.edu, Dew, Ryan (AUTHOR), Iyengar, Raghuram (AUTHOR)

Simultaneous treatment effect estimation and variable selection for observational data.

Ma, Eun-Yeol¹ (AUTHOR), Lee, Uichin² (AUTHOR), Kim, Heeyoung¹ (AUTHOR) heeyoungkim@kaist.ac.kr

The Campbellian construct validity: some comments.

Lund, Thorleif¹ (AUTHOR) thorllun@broadpark.no

Multidimensional Evidence Chain of Nutritional Impact on Digestive System Tumors: Integration of Mendelian Randomization Causal Inference, NHANES Epidemiological Data, and Transcriptomic Analysis.

Chen, Yuan¹ (AUTHOR), Ping, Yaodong² (AUTHOR), Liu, Hong² (AUTHOR), Zhu, Benben¹ (AUTHOR), Jiang, Xueyan¹ (AUTHOR), Fu, Rong¹ (AUTHOR), Hao, Yiwei¹ (AUTHOR), Yang, Yan¹ (AUTHOR), Miao, Chunlei³ (AUTHOR), Liu, Yuli¹ (AUTHOR) fsrmyylyl@163.com

Reviewing methodological approaches to dose-response modelling in complex interventions: insights and perspectives.

Payne, Mollie¹ (AUTHOR) mollie.payne@kcl.ac.uk, Stringer, Dominic¹ (AUTHOR), Carter, Ben¹ (AUTHOR), Hardy, Amy^2,3 (AUTHOR), Emsley, Richard¹ (AUTHOR)

Causality, Machine Learning, and Feature Selection: A Survey.

Lamsaf, Asmae¹ (AUTHOR) a.lamsaf@ubi.pt, Carrilho, Rui^1,2 (AUTHOR), Neves, João C.^1,2 (AUTHOR), Proença, Hugo^1,2 (AUTHOR)

Estimating treatment effects using parametric models as counter-factual evidence.

Jackson, Richard¹ (AUTHOR) RichJ23@liverpool.ac.uk, Johnson, Philip¹ (AUTHOR), Berhane, Sarah^2,3 (AUTHOR), Kolamunnage-Dona, Ruwanthi¹ (AUTHOR), Hughes, David¹ (AUTHOR), Dodd, Susanna¹ (AUTHOR), Neoptolemos, John⁴ (AUTHOR), Palmer, Daniel¹ (AUTHOR), Cox, Trevor¹ (AUTHOR)

A dependence detection heuristic in causal induction to handle nonbinary variables.

Higuchi, Kohki¹ (AUTHOR) kohki.higuchi@gmail.com, Shirakawa, Tomohiro¹ (AUTHOR), Ichino, Hiroto² (AUTHOR), Takahashi, Tatsuji² (AUTHOR) tatsuji.takahashi@gmail.com

Multiobjective Personalization of Marketing Interventions.

Rafieian, Omid¹ (AUTHOR) or83@cornell.edu, Kapoor, Anuj² (AUTHOR) anujcapoor@gmail.com, Sharma, Amitt³ (AUTHOR) amitt@vdo.ai

Parallel Experimentation and Competitive Interference on Online Advertising Platforms.

Waisman, Caio¹ (AUTHOR) caio.waisman@kellogg.northwestern.edu, Sahni, Navdeep S.² (AUTHOR) navdeep.sahni@stanford.edu, Nair, Harikesh S.³ (AUTHOR) hnair@gmail.com, Lin, Xiliang³ (AUTHOR) xilianglin@gmail.com

Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective.

Zhao, Jinglong¹ (AUTHOR) jinglong@bu.edu, Zhou, Zijie² (AUTHOR) zhou98@mit.edu

El ensayo diana para la inferencia causal en estudios observacionales.

Núñez, Isaac^1,2 isaac_nunezsaavedra@g.harvard.edu, Lajous, Martín^3,4

Causal estimation of FTX collapse on cryptocurrency: a counterfactual prediction analysis.

Khan, Khalid¹ (AUTHOR) khalid.khan665@gmail.com, Khurshid, Adnan² (AUTHOR) adnankhurshid83@gmail.com, Cifuentes-Faura, Javier³ (AUTHOR) javier.cifuentes@um.es

Simulating hierarchical data to assess the utility of ecological versus multilevel analyses in obtaining individual-level causal effects.

Kakampakou, Lydia¹ (AUTHOR), Stokes, Jonathan² (AUTHOR), Hoehn, Andreas² (AUTHOR), de Kamps, Marc³ (AUTHOR), Lawniczak, Wiktoria³ (AUTHOR), Arnold, Kellyn F.⁴ (AUTHOR), Hensor, Elizabeth M. A.⁵ (AUTHOR), Heppenstall, Alison J.⁶ (AUTHOR) Alison.Heppenstall@glasgow.ac.uk, Gilthorpe, Mark S.⁷ (AUTHOR) m.s.gilthorpe@leedsbeckett.ac.uk

A doubly robust estimator for continuous treatments in high dimensions.

Gao, Qian¹ (AUTHOR), Wang, Jiale¹ (AUTHOR), Fang, Ruiling¹ (AUTHOR), Sun, Hongwei² (AUTHOR), Wang, Tong¹ (AUTHOR) tongwang@sxmu.edu.cn

Modelling sensory attenuation as Bayesian causal inference across two datasets.

Eckert, Anna-Lena¹ (AUTHOR) eckertan@staff.uni-marburg.de, Fuehrer, Elena² (AUTHOR), Schmitter, Christina³ (AUTHOR), Straube, Benjamin³ (AUTHOR), Fiehler, Katja² (AUTHOR), Endres, Dominik¹ (AUTHOR)

A New Minimality Condition for Boolean Accounts of Causal Regularities.

Zhang, Jiji¹ (AUTHOR) jijizhang@cuhk.edu.hk, Zhang, Kun^2,3 (AUTHOR) kunz1@cmu.edu

Causal Bayes Nets and Token-Causation: Closing the Gap between Token-Level and Type-Level: Causal Bayes Nets and Token‑Causation: Closing the Gap: A. Gebharter, A. Hüttemann.

Gebharter, Alexander¹ (AUTHOR) alexander.gebharter@gmail.com, Hüttemann, Andreas² (AUTHOR) ahuettem@uni-koeln.de