Causal Inference by Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, Zhichao Jiang

“…With the aim of bringing knowledge of causal inference to scholars of machine learning and artificial intelligence, we invited researchers working on causal inference to write this survey from different aspects of causal inference. …”
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Causal inference by Richard Shoemaker

“…This paper discusses the philosophy of causal inference along the different school of thoughts and methods: Rationalism, Empiricism, Inductive method, Hypothetical deductive method with pros and cons. …”
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Causal inference by Richard Shoemaker

“…This paper discusses the philosophy of causal inference along the different school of thoughts and methods: Rationalism, Empiricism, Inductive method, Hypothetical deductive method with pros and cons. …”
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Causal inference in multisensory perception. by Konrad P Körding, Ulrik Beierholm, Wei Ji Ma, Steven Quartz, Joshua B Tenenbaum, Ladan Shams

“…Here we use multisensory cue combination to study causal inference in perception. We formulate an ideal-observer model that infers whether two sensory cues originate from the same location and that also estimates their location(s). …”
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Causal inference based on counterfactuals by Höfler M

“…<p>Abstract</p> <p>Background</p> <p>The counterfactual or potential outcome model has become increasingly standard for causal inference in epidemiological and medical studies.…”
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Causal inference in environmental epidemiology by Sanghyuk Bae, Hwan-Cheol Kim, Byeongjin Ye, Won-Jun Choi, Young-Seoub Hong, Mina Ha

“…To evaluate validity of the study, we propose a checklist that focuses on biases and generalizability. For general causal inference, we recommend utilizing Hill’s 9 viewpoints. …”
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Reliability of the Granger causality inference by Douglas Zhou, Yaoyu Zhang, Yanyang Xiao, David Cai

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Causal inference and observational data by Ivan Olier, Yiqiang Zhan, Xiaoyu Liang, Victor Volovici

“…Abstract Observational studies using causal inference frameworks can provide a feasible alternative to randomized controlled trials. …”
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Multisensory causal inference in the brain. by Christoph Kayser, Ladan Shams

“…By combining neuroimaging-based decoding techniques and computational modelling of behavioural data, a new study now sheds light on how multisensory causal inference maps onto specific brain areas. The results suggest that the complexity of neural computations increases along the visual hierarchy and link specific components of the causal inference process with specific visual and parietal regions.…”
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The Deductive Approach to Causal Inference by Pearl Judea

Subjects: “…causal inference…”
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An introduction to causal inference for pharmacometricians by James A. Rogers, Hugo Maas, Alejandro Pérez Pitarch

“…Abstract As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic fluency in foundational causal inference concepts. …”
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Causal inference in the multisensory brain by Cao, Y, Summerfield, C, Park, H, Giordano, B, Kayser, C

“…Analysing time- and source- resolved human magnetoencephalographic data we unveil a systematic spatio- temporal cascade of the relevant computations, starting with early segregated unisensory representations, continuing with sensory fusion in parietal-temporal regions and culminating as causal inference in the frontal lobe. Our results reconcile previous computational accounts of multisensory perception by showing that prefrontal cortex guides flexible integrative behaviour based on candidate representations established in sensory and association cortices, thereby framing multisensory integration in the generalised context of adaptive behaviour.…”

Neural spiking for causal inference and learning. by Benjamin James Lansdell, Konrad Paul Kording

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Causal Inference in Introductory Statistics Courses by Kevin Cummiskey, Bryan Adams, James Pleuss, Dusty Turner, Nicholas Clark, Krista Watts

“…We discuss how to integrate causal inference concepts into introductory courses using causal diagrams and provide an illustrative example with youth smoking data. …”
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A survey on causal inference for recommendation by Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang, Zhulin An, Yongjun Xu

“…Causal inference has recently garnered significant interest among recommender system (RS) researchers due to its ability to dissect cause-and-effect relationships and its broad applicability across multiple fields. …”
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Causal inference with imperfect instrumental variables by Miklin Nikolai, Gachechiladze Mariami, Moreno George, Chaves Rafael

Subjects: “…causal inference with latent variables…”
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On Geometry of Information Flow for Causal Inference by Sudam Surasinghe, Erik M. Bollt

Subjects: “…causal inference…”
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Case study research and causal inference by Judith Green, Benjamin Hanckel, Mark Petticrew, Sara Paparini, Sara Shaw

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Causal inference of asynchronous audiovisual speech by John F Magnotti, Wei Ji eMa, Michael S Beauchamp

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Causal inference in studies and medical articles by Hamid Salehiniya

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