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A Novel Information Theoretical Criterion for Climate Network Construction

Sara Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Luis Prieto-Godino, Sancho Salcedo-Sanz
2020 Symmetry  
Furthermore, it is shown that the climate network construction method facilitates the evaluation of symmetry properties in the resulting complex networks.  ...  This paper presents a novel methodology for Climate Networkconstruction based on the Kullback-Leibler divergenceamong Membership Probabilitydistributions, obtained from the Second Order Data-Coupled Clusteringalgorithm  ...  This paper presents a novel methodology for Climate Network (CN) construction based on the Kullback-Leibler divergence (KLD) among Membership Probability (MP) distributions, obtained from the Second Order  ... 
doi:10.3390/sym12091500 fatcat:kwlssqfc4jfgnhpmwrdyli4vve

Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information

Jaroslav Hlinka, David Hartman, Martin Vejmelka, Jakob Runge, Norbert Marwan, Jürgen Kurths, Milan Paluš
2013 Entropy  
For geophysical systems such as global climate, these relations are commonly not theoretically known but estimated from recorded data using causality analysis methods.  ...  Such dynamical complex systems can be represented by a directed graph, where each link denotes an existence of a causal relation, or information exchange between the nodes.  ...  We thank our anonymous reviewers for their thorough evaluation and constructive recommendations for improving the manuscript.  ... 
doi:10.3390/e15062023 fatcat:4psfolrbxbbx3gfqm2mn7x3dbi

Granular computing, computational intelligence, and the analysis of non-geometric input spaces

Lorenzo Livi, Alireza Sadeghian
2015 Granular Computing  
As a conclusion, we elaborate over the fundamental, conceptual problems underlying the process of data granulation, which drive the quest for a sound theory of granular computing.  ...  Data granulation emerged as an important paradigm in modeling and computing with uncertainty, exploiting information granules as the main mathematical constructs involved in the context of granular computing  ...  We highlight two specific aspects in this paper: the (novel) interpretation of information granules as patterns (Sect. 3.1) and the challenge of designing a criterion for synthesizing information granules  ... 
doi:10.1007/s41066-015-0003-0 fatcat:3comtfxeobda3ofim5qmuomg6i

Creativity in Early and Established Career: Insights into Multi-Level Drivers from Nobel Prize Winners

Dawn L. Eubanks, Michael E. Palanski, Juani Swart, Michelle M. Hammond, Joy Oguntebi
2014 The Journal of creative behavior  
Other research by McCrae and Costa (1997) argues that those individuals that have a tendency to combine divergent pieces of information also have a tendency to seek out novel, unfamiliar situations.  ...  Fornell and Larcker (1981) higher on the construct that it is supposed to measure than on any other construct (Carmines & Zeller, 1979) . All items in the study met this criterion.  ... 
doi:10.1002/jocb.70 fatcat:7xioipnpazbmzhnhvki33c6654

Measuring Fuel Poverty in Italy: A Comparison between Different Indicators

Giorgio Besagni, Marco Borgarello
2019 Sustainability  
The Italian case is peculiar, in terms of climatic conditions (encompassing a very broad range of conditions), dwelling types (in terms of construction periods and urban areas), and the many socio-demographic  ...  The obtained results are of practical importance and provide a rational basis for policy-makers when planning strategies to tackle the incidence of fuel poverty in Italy.  ...  perspectives: (a) Looking at the most vulnerable clusters for a given criterion and (b) looking at the most critical criterion for a given cluster.  ... 
doi:10.3390/su11102732 fatcat:h2bw4ik54vfqxivlpm3bpdmigm

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

Jonathan F. Donges, Jobst Heitzig, Boyan Beronov, Marc Wiedermann, Jakob Runge, Qing Yi Feng, Liubov Tupikina, Veronika Stolbova, Reik V. Donner, Norbert Marwan, Henk A. Dijkstra, Jürgen Kurths
2015 Chaos  
It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in  ...  analysis (RQA), recurrence networks, visibility graphs and construction of surrogate time series.  ...  Education and Research (BMBF) via the Potsdam Research Cluster for Georisk Analysis, Environmental Change and Sustainability  ... 
doi:10.1063/1.4934554 pmid:26627561 fatcat:qarrincgjnd4bfo2rurr4lj6ym

How complex climate networks complement eigen techniques for the statistical analysis of climatological data

Jonathan F. Donges, Irina Petrova, Alexander Loew, Norbert Marwan, Jürgen Kurths
2015 Climate Dynamics  
This climate network (CN) analysis is usually based on the same set of similarity matrices as is used in classical EOF or CP analysis, e.g., the correlation matrix of a single climatological field or the  ...  Hence, CNs are a valuable supplement to the statistical toolbox of the climatologist, particularly for making sense out of very large data sets such as those generated by satellite observations and climate  ...  For climate network analysis, the software package pyunicorn was used that is available at http://tocsy.pik-potsdam.de/pyunicorn.php . We thank Reik V.  ... 
doi:10.1007/s00382-015-2479-3 fatcat:oqdb5j75q5b5hodfieayq3y2eq

A Simple Framework for Climate-Change Policy Under Model Uncertainty

Stergios Athanasoglou, Valentina Bosetti
2017 Social Science Research Network  
We propose a novel framework for the economic assessment of climatechange policy.  ...  We apply this decision criterion to probability distributions constructed by Drouet et al. (2015) linking carbon budgets to future consumption.  ...  Application In this section we apply the decision-theoretic criterion of Eq. (5) to climate-change data from Drouet et al. [14] .  ... 
doi:10.2139/ssrn.2945341 fatcat:2ffnfm32tjcflj62m54e4ghkw4

Causality in Reversed Time Series: Reversed or Conserved?

Jakub Kořenek, Jaroslav Hlinka
2021 Entropy  
We start with a theoretical analysis that demonstrates that a perfect coupling reversal under time reversal occurs only under very specific conditions, followed up by constructing low-dimensional examples  ...  Finally, simulations of random as well as realistically motivated network coupling patterns from brain and climate show that level of coupling reversal and conservation can be well predicted by asymmetry  ...  Acknowledgments: We thank Nikola Jajcay, David Hartman, and David Tomecek for valuable help with example data preparation.  ... 
doi:10.3390/e23081067 fatcat:2o5ro7cwgve2fi3r2fpr7uyswi

Conceptual Models as Hypotheses in Monitoring Urban Landscapes

Todd R. Lookingbill, Robert H. Gardner, Philip A. Townsend, Shawn L. Carter
2007 Environmental Management  
Academics generally prefer a bottomup approach to model construction that emphasizes ecologic theory and process, whereas managers often use a top-down approach that takes advantage of existing information  ...  An example application of the process to a network of national parks in and around Washington, DC illustrates the ability of the approach to systematically identify monitoring data that would both advance  ...  The symbols for Figure 5 are courtesy of the Integration and Application Network (ian.umces.edu/symbols), University of Maryland Center for Environmental Science.  ... 
doi:10.1007/s00267-005-0246-7 pmid:17562105 fatcat:4xzs3k3n5nfyrmtxiq377vbqi4

Forecasting Daily Water Consumption: a Case Study in Torun, Poland

Adam Piasecki, Jakub Jurasz, Bartosz Kaźmierczak
2018 Periodica polytechnica. Civil engineering  
and humidity forecast for a given day, which are considered as independent variables.  ...  This paper presents Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) methods for predicting future daily water consumption values based on three antecedent records of water consumption  ...  The authors thank the IT Specialists from TWC for assistance in obtaining these data.  ... 
doi:10.3311/ppci.11930 fatcat:lrbqjnsov5e3jlvx43ijwque2i

A New Fuzzy Impulsive Control of Chaotic Systems Based on T–S Fuzzy Model

Yang Liu, Shouwei Zhao, Jianquan Lu
2011 IEEE transactions on fuzzy systems  
Then, a novel impulsive control scheme is presented for chaotic systems based on the T-S fuzzy model. Some sufficient conditions are given to stabilize the T-S fuzzy model.  ...  The stability issue of the general nonlinear impulsive control system is first investigated via comparison criterion.  ...  In [32] , a unified synchronization criterion for impulsive dynamical networks has been presented.  ... 
doi:10.1109/tfuzz.2010.2090162 fatcat:o2jzoeq5i5axretex3mghthsdm

Optimizing Artificial Neural Networks For The Evaluation Of Asphalt Pavement Structural Performance

Gaetano Bosurgi, Orazio Pellegrino, Giuseppe Sollazzo
2019 Baltic Journal of Road and Bridge Engineering  
However, the architecture of such an Artificial Neural Network must be optimised, to improve the final accuracy and provide a reliable technique for enriching decision-making tools.  ...  It is conceivable that defining a proper Artificial Neural Network for estimating structural performance in asphalt pavements from measurements performed through quick and economic surveys produces significant  ...  In addition to these base factors, two novel factors, with a considerable theoretical influence on the structural performance, have also been included in the dataset, for further analysis and investigation  ... 
doi:10.7250/bjrbe.2019-14.433 fatcat:a5hveknoijf63joeb6wrns2nku

Best Fit and Selection of Theoretical Flood Frequency Distributions Based on Different Runoff Generation Mechanisms

Vito Iacobellis, Mauro Fiorentino, Andrea Gioia, Salvatore Manfreda
2010 Water  
We used two theoretically derived distributions of flood peak annual maxima: the first is the -IF‖ distribution, which exploits the variable source area concept, coupled with a runoff threshold having  ...  By focusing on the application of both models to two river basins, of sub-humid and semi-arid climate in Southern Italy, we present an ad hoc procedure for the estimation of parameters and we discuss the  ...  Acknowledgements The Authors are grateful to two anonymous reviewers for their appropriate and useful comments.  ... 
doi:10.3390/w2020239 fatcat:j4bn6vqc5vau7mcteamnuvmk5q

A Proposal for Examining Factors Leading to Knowledge Equity

Dave Croasdell, Vicki McKinney, Mike Allen, Nancy Burrell
2008 Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)  
The project emphasizes a structured approach for examining knowledge equity aiming to provide significant theoretical contributions regarding the role of knowledge equity in organizations.  ...  Specifically, the goal of the study is to establish a theoretical foundation on knowledge equity and determine the role of knowledge equity plays in organizations.  ...  When organizations create a positive organizational climate they encourage a climate for initiative [5] .  ... 
doi:10.1109/hicss.2008.32 dblp:conf/hicss/CroasdellMAB08 fatcat:kecjzekybjdwhecjjd5ndzvbki
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