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Kun Zhang [10]Kunjiang Zhang [5]Kunyu Zhang [1]
  1.  6
    Information-Geometric Approach to Inferring Causal Directions.Dominik Janzing, Joris Mooij, Kun Zhang, Jan Lemeire, Jakob Zscheischler, Povilas Daniušis, Bastian Steudel & Bernhard Schölkopf - 2012 - Artificial Intelligence 182-183 (C):1-31.
  2.  53
    On Estimation of Functional Causal Models : General Results and Application to the Post-Nonlinear Causal Model.Kun Zhang, Zhikun Wang, Jiji Zhang & Bernhard Scholkopf - unknown
    Compared to constraint-based causal discovery, causal discovery based on functional causal models is able to identify the whole causal model under appropriate assumptions [Shimizu et al. 2006; Hoyer et al. 2009; Zhang and Hyvärinen 2009b]. Functional causal models represent the effect as a function of the direct causes together with an independent noise term. Examples include the linear non-Gaussian acyclic model, nonlinear additive noise model, and post-nonlinear model. Currently, there are two ways to estimate the parameters in the models: dependence (...)
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  3.  33
    Causal Discovery From Nonstationary/Heterogeneous Data : Skeleton Estimation and Orientation Determination.Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour & Bernhard Schölkopf - unknown
    It is commonplace to encounter nonstationary or heterogeneous data, of which the underlying generating process changes over time or across data sets. Such a distribution shift feature presents both challenges and opportunities for causal discovery. In this paper we develop a principled framework for causal discovery from such data, called Constraint-based causal Discovery from Nonstationary/heterogeneous Data, which addresses two important questions. First, we propose an enhanced constraint-based procedure to detect variables whose local mechanisms change and recover the skeleton of the (...)
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  4.  1
    Internet Use, Social Networks, and Loneliness Among the Older Population in China.Dan Tang, Yongai Jin, Kun Zhang & Dahua Wang - 2022 - Frontiers in Psychology 13.
    While the rate of Internet use among the older population in China is rapidly increasing, the outcomes associated with Internet use remain largely unexplored. Currently, there are contradictory findings indicating that Internet use is sometimes positively and sometimes negatively associated with older adults’ subjective well-being. Therefore, we examined the associations between different types of Internet use, social networks, and loneliness among Chinese older adults using data from the Chinese Longitudinal Ageing Society Survey. Internet use was classified as interpersonal communication and (...)
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  5.  56
    Likelihood and Consilience: On Forster’s Counterexamples to the Likelihood Theory of Evidence.Jiji Zhang & Kun Zhang - 2015 - Philosophy of Science 82 (5):930-940.
    Forster presented some interesting examples having to do with distinguishing the direction of causal influence between two variables, which he argued are counterexamples to the likelihood theory of evidence. In this paper, we refute Forster's arguments by carefully examining one of the alleged counterexamples. We argue that the example is not convincing as it relies on dubious intuitions that likelihoodists have forcefully criticized. More importantly, we show that contrary to Forster's contention, the consilience-based methodology he favored is accountable within the (...)
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  6.  5
    Computational Causal Discovery: Advantages and Assumptions.Kun Zhang - 2022 - Theoria. An International Journal for Theory, History and Foundations of Science 37 (1):75-86.
    I would like to congratulate James Woodward for another landmark accomplishment, after publishing his Making things happen: A theory of causal explanation. Making things happen gives an elegant interventionist theory for understanding explanation and causation. The new contribution relies on that theory and further makes a big step towards empirical inference of causal relations from non-experimental data. In this paper, I will focus on some of the emerging computational methods for finding causal relations from non-experimental data and attempt to complement (...)
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  7.  51
    The Evaluation of Discovery: Models, Simulation and Search Through “Big Data”.Kun Zhang, Joseph D. Ramsey & Clark Glymour - 2019 - Open Philosophy 2 (1):39-48.
    A central theme in western philosophy was to find formal methods that can reliably discover empirical relationships and their explanations from data assembled from experience. As a philosophical project, that ambition was abandoned in the 20th century and generally dismissed as impossible. It was replaced in philosophy by neo-Kantian efforts at reconstruction and justification, and in professional statistics by the more limited ambition to estimate a small number of parameters in pre-specified hypotheses. The influx of “big data” from climate science, (...)
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  8.  22
    Unmixing for Causal Inference: Thoughts on McCaffrey and Danks.Kun Zhang & Madelyn R. K. Glymour - 2020 - British Journal for the Philosophy of Science 71 (4):1319-1330.
    McCaffrey and Danks have posed the challenge of discovering causal relations in data drawn from a mixture of distributions as an impossibility result in functional magnetic resonance. We give an algorithm that addresses this problem for the distributions commonly assumed in fMRI studies and find that in testing, it can accurately separate data from mixed distributions. As with other obstacles to automated search, the problem of mixed distributions is not an impossible one, but rather a challenge. 1Introduction2Background3Addressing the Problem4Discussion.
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  9. Dechuan Riben Ru Xue Si Xiang de Te Zhi: Shen Dao, Culai Xue Yu Yangming Xue.Kunjiang Zhang - 2007 - Guo Li Taiwan da Xue Chu Ban Zhong Xin.
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  10. Dechuan Riben "Zhong" ''Xiao" Gai Nian de Xing Cheng Yu Fa Zhan: Yi Bing Xue Yu Yangming Xue Wei Zhong Xin.Kunjiang Zhang - 2004 - Taiwan da Xue Chu Ban Zhong Xin.
    本書共分七章,主要是對中國儒家思想的自然觀與日本德川思想界的氣論、自然觀做比較。作者先以橫向的角度,將中國的老莊、王充、孟子、朱子及王陽明,和日本以氣反理的德川儒者做深入的分析與探討;接著再專就日本儒 學思想中「忠」與「孝」的思維典型做耙梳,並以當中的衝突與合一為研究重點,指明陽明學者與兵學者之忠、孝思維的異同。本書秉持「取道日本,回到中國」的精神,為國內學術圈中仍欠缺對話的日本思想史領域,開啟一扇 窗。.
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  11. Riben Dechuan Shi Dai Gu Xue Pai Zhi Wang Dao Zheng Zhi Lun: Yi Yiteng Renzhai, Disheng Culai Wei Zhong Xin.Kunjiang Zhang - 2004 - Guo Li Taiwan da Xue Chu Ban Zhong Xin.
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  12. Yang Ming Xue Zai Dong Ya: Quan Shi. Jiao Liu Yu Xing Dong.Kunjiang Zhang - 2011 - Taiwan da Xue Chu Ban Zhong Xin.
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  13. Yang Ming Xue Zai Dong Ya: Quan Shi.Kunjiang Zhang - 2011 - Taiwan da Xue Chu Ban Zhong Xin.
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  14.  6
    Web News Data Extraction Technology Based on Text Keywords.Kun Zhang - 2021 - Complexity 2021:1-11.
    In order to shorten the time for users to query news on the Internet, this paper studies and designs a network news data extraction technology, which can obtain the main news information through the extraction of news text keywords. Firstly, the TF-IDF keyword extraction algorithm, TextRank keyword extraction algorithm, and LDA keyword extraction algorithm are analyzed to understand the keyword extraction process, and the TF-IDF algorithm is optimized by Zipf’s law. By introducing the idea of model fusion, five schemes based (...)
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  15.  15
    On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection.Kun Zhang, Jiji Zhang, Biwei Huang, Bernhard Schölkopf & Clark Glymour - unknown
    We study the identifiability and estimation of functional causal models under selection bias, with a focus on the situation where the selection depends solely on the effect variable, which is known as outcome-dependent selection. We address two questions of identifiability: the identifiability of the causal direction between two variables in the presence of selection bias, and, given the causal direction, the identifiability of the model with outcome-dependent selection. Regarding the first, we show that in the framework of post-nonlinear causal models, (...)
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  16.  17
    Fear and Reward Circuit Alterations in Pediatric CRPS.Laura E. Simons, Nathalie Erpelding, Jessica M. Hernandez, Paul Serrano, Kunyu Zhang, Alyssa A. Lebel, Navil F. Sethna, Charles B. Berde, Sanjay P. Prabhu, Lino Becerra & David Borsook - 2015 - Frontiers in Human Neuroscience 9.