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Does the Mundell-Fleming model fit in China?

Kai-Hua Wang, Chi-Wei Su, Ran Tao
2019 Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu  
With structural changes existing, we find that long-run relationship using full-sample data is unstable, suggesting that causality test is not reliable.  ...  Consequently, we use a time-varying rolling-window approach to revisiting the dynamic causal relationship, and the results show that IRD has both positive and negative impacts on SCF in several sub-periods  ...  Then, it can apply the RB-based modified-LR causality test to each sub-sample, instead of estimating a single causality test for a full sample.  ... 
doi:10.18045/zbefri.2019.1.11 fatcat:3wcs3pqvhvfp3me4mzcccmiloy

Mitigating circumstances

2013 Nature Climate Change  
We therefore bring together contract-based and provenance systems to solve the issue of mitigating circumstances.  ...  They can be used to regulate behaviour by providing negative consequences, penalties, where the responsibilities and expectations are not met, the contract is violated.  ...  We would also like to thank the help of Lost Wax, and Camden Holt in particular, with discussions on the aerospace aftermarket use case.  ... 
doi:10.1038/nclimate1868 fatcat:tla54kn2jjgzjl5juqvjtt6hnm

Clarifying questions about "risk factors": predictors versus explanation

C. Mary Schooling, Heidi E. Jones
2018 Emerging Themes in Epidemiology  
Predictive models allow identification of people or populations at elevated disease risk enabling targeting of proven interventions acting on causal factors.  ...  Explanatory models allow identification of causal factors to target across populations to prevent disease.  ...  Avoiding the imprecise term "risk factor" and using a word, such as 'predictor' , in risk stratification studies and 'explanatory' factor in causal studies might bring clarity of thought and thereby reduce  ... 
doi:10.1186/s12982-018-0080-z pmid:30116285 pmcid:PMC6083579 fatcat:ci3mg5rkgbaaplchtuzwkv3x2a

Fides

Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, Gerhard Weikum
2017 Proceedings of the 29th International Conference on Scientific and Statistical Database Management - SSDBM '17  
Any domain that involves sparse or sampled data has exposure to potential bias.  ...  Issues of responsible data analysis and use are coming to the forefront of the discourse in data science research and practice, with most significant efforts to date on the part of the data mining, machine  ...  Finally, work on causality in databases [25] has deep connections to provenance and can help answer causal what-if questions.  ... 
doi:10.1145/3085504.3085530 dblp:conf/ssdbm/StoyanovichHAMS17 fatcat:arrmplc7e5fojhfsvulitwhnly

Mapping attribution metadata to the Open Provenance Model

Simon Miles
2011 Future generations computer systems  
A description of a data item's provenance can be provided in different forms, and which form is best depends on the intended use of that description.  ...  give a full account of the experiment undertaken.  ...  Acknowledgements: We are grateful for much helpful feedback on earlier versions of the mapping and pointers to material from Jim Myers, Joe Futrelle, Thomas Habing, Luc Moreau, Paolo Missier, and this  ... 
doi:10.1016/j.future.2010.10.007 fatcat:opisqasms5axnlyx5rpnd5r3vm

Answering why-not queries in software-defined networks with negative provenance

Yang Wu, Andreas Haeberlen, Wenchao Zhou, Boon Thau Loo
2013 Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks - HotNets-XII  
Negative provenance relies on counterfactual reasoning to identify the conditions under which the missing event could have occurred.  ...  Using our approach, it should be possible to build SDN debuggers that can explain both the presence and the absence of events.  ...  Provenance would be useful in this situation because it can track causality.  ... 
doi:10.1145/2535771.2535799 dblp:conf/hotnets/WuHZL13 fatcat:vhj75r5mufhzdb4oqtquqddpra

Behavioral IR: Practical Suggestions

PATRICK JAMES
2007 International Studies Review  
For such reasons, he sees Behavioral IR as a way to bring together various strands from political psychology to enhance explanatory power.  ...  Behavioral IR, according to Mintz, also would bring greater unity and coherence to approaches from political psychology that have proven to be valuable on an individual basis.  ...  For such reasons, he sees Behavioral IR as a way to bring together various strands from political psychology to enhance explanatory power.  ... 
doi:10.1111/j.1468-2486.2007.00669_2.x fatcat:5nub34663ne5rilnf5rqcmim54

Explanation, Causality and Causal Inferences

Andreea Elena MATIC
2017 Logos Universality Mentality Education Novelty Philosophy and Humanistic Sciences  
Our explanations are often causal which is why it is frequently considered that to explain a phenomenon means to describe its causes.  ...  Some of the most common risks consist of the fact that sometimes, through such explanation we don't succeed to bring any extra knowledge and other times we fail to grasp the real causal connections between  ...  In order to establish causal relations among phenomena, specialists use inductive reasoning.  ... 
doi:10.18662/lumenphs.2017.0501.02 fatcat:i3qfleqi3fhvfbfnagu6ik2jdu

Causal Multi-Agent Reinforcement Learning: Review and Open Problems [article]

St John Grimbly, Jonathan Shock, Arnu Pretorius
2021 arXiv   pre-print
We discuss potential solutions for common challenges, and use this context to motivate future research directions.  ...  This paper serves to introduce the reader to the field of multi-agent reinforcement learning (MARL) and its intersection with methods from the study of causality.  ...  For the full realisation of causal RL benefits, we really want agent models to be capable of counterfactual reasoning.  ... 
arXiv:2111.06721v2 fatcat:jm7lrs7mhjd7liy7akos2zk2tu

The Convergence of Ricoeur's and Von Wright's Complex Models of History

Linda L. Cox
2014 Études Ricoeuriennes / Ricoeur Studies  
The solution to these crises requires a more complex method to account for the nature of the connections underlying historical understanding.  ...  Il considère que les deux modèles historiographiques de provenance analytique – le modèle explicatif et le modèle narratif – peuvent s'articuler.  ...  , that is, of repetition. 47 The problem with Heidegger's notion of destiny is that it has the potential to use narrative repetition to bind people to a potentially misleading idea.  ... 
doi:10.5195/errs.2014.228 fatcat:npzavuynwfh3zajwwrh65gte2a

Using Statistical Evidence to Prove Causality to Non-Statisticians

Palmer Morrel-Samuels, Peter D. Jacobson
2007 Social Science Research Network  
No contemporary guide exists for using statistics to prove causality in court.  ...  We close with guidelines for using causal graphs in court.  ...  This brings us to a legitimate and important question: What exactly does it take to convince an ordinary juror that the quantitative evidence at hand provides sufficient proof of a causal linkage?  ... 
doi:10.2139/ssrn.995841 fatcat:7ogoaohpgjfmjjvxhwiv35dwje

Probabilistic models of cognition: Conceptual foundations

Nick Chater, Joshua B. Tenenbaum, Alan Yuille
2006 Trends in Cognitive Sciences  
Nonetheless, some conscious judgments have proven amenable to probabilistic analyses, such as assessments of covariation or causal efficacy [33, 47] , uncertain reasoning over causal models [71, 72]  ...  This work has built on artificial intelligence approaches to probabilistic and causal reasoning using Bayesian networks [5, 28, 29 ].  ... 
doi:10.1016/j.tics.2006.05.007 pmid:16807064 fatcat:dd4lzgmnhbh6xlw75fq5rg2aqm

Towards Transparency of IoT Message Brokers [chapter]

Milan Markovic, David Corsar, Waqar Asif, Peter Edwards, Muttukrishnan Rajarajan
2018 Lecture Notes in Computer Science  
In this paper we propose an ontological model for documenting provenance of MQTT message brokers to enhance the transparency of interactions between IoT agents.  ...  We are currently exploring a means for capturing provenance by extending an open source MQTT message broker in order to evaluate the potential of a stream-based approach for consuming such data.  ...  receive messages published to each topic, and reasons for client disconnections).  ... 
doi:10.1007/978-3-319-98379-0_19 fatcat:ioqteppbzjcptchllc2c7kl3ee

CAUSAL UNCERTAINTY: ALTERNATIVE CAUSATION IN TORT LAW

Mihajlo Cvetković
2020 Teme  
There are situations in tort law practice where singular damage has more than one potential cause, so it is important to determine which one is legally relevant.  ...  In those situations, it is hard for the claimant to identify the tortfeasor. Moreover, proving the causal link is difficult or almost impossible.  ...  for victims to bring action is greatly diminished if the potential reward is partial recovery only.  ... 
doi:10.22190/teme191115007c fatcat:hhvivwy6avhd3pap2drgiy2jpu

Editorial preface

R. L. Hall
2013 International Journal for Philosophy of Religion  
Only in this kind of world does the potential exist for using freedom to reverse freedom's moral abuse.  ...  Relying on Hume, Kaal sees reason to be skeptical about the assumption that freedom brings more good than evil.  ... 
doi:10.1007/s11153-013-9403-8 fatcat:r7jaheo275ei3l364oyv4azdhu
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