Ab Initio and Monte Carlo Approaches For the Magnetocaloric Effect in Co- and In-Doped Ni-Mn-Ga Heusler Alloys
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Jie Sun | Erik M. Bollt | Jie Sun | E. Bollt | P. Entel | V. Sokolovskiy | V. Buchelnikov | A. Grünebohm
[1] Schreiber,et al. Measuring information transfer , 2000, Physical review letters.
[2] James P. Crutchfield,et al. Information Anatomy of Stochastic Equilibria , 2014, Entropy.
[3] Dane Taylor,et al. Causal Network Inference by Optimal Causation Entropy , 2014, SIAM J. Appl. Dyn. Syst..
[4] Erik M. Bollt,et al. Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings , 2014, 1504.03769.
[5] Milan Palus,et al. Cross-Scale Interactions and Information Transfer , 2014, Entropy.
[6] W. Parry. Intrinsic Markov chains , 1964 .
[7] James P. Crutchfield,et al. Infinite Excess Entropy Processes with Countable-State Generators , 2011, Entropy.
[8] S. Yoshizawa,et al. An Active Pulse Transmission Line Simulating Nerve Axon , 1962, Proceedings of the IRE.
[9] M. Gameiro,et al. Combinatorial-topological framework for the analysis of global dynamics. , 2012, Chaos.
[10] K. Hlavácková-Schindler,et al. Causality detection based on information-theoretic approaches in time series analysis , 2007 .
[11] Konstantin Mischaikow,et al. A Database Schema for the Analysis of Global Dynamics of Multiparameter Systems , 2009, SIAM J. Appl. Dyn. Syst..
[12] A. Kolmogorov. Three approaches to the quantitative definition of information , 1968 .
[13] Dimitris Kugiumtzis,et al. Non-uniform state space reconstruction and coupling detection , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] M. Paluš,et al. Inferring the directionality of coupling with conditional mutual information. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[15] Adom Giffin,et al. Simultaneous State and Parameter Estimation Using Maximum Relative Entropy with Nonhomogenous Differential Equation Constraints , 2014, Entropy.
[16] Erik M. Bollt,et al. Applied and Computational Measurable Dynamics , 2013, Mathematical modeling and computation.
[17] James P. Crutchfield,et al. Anatomy of a Bit: Information in a Time Series Observation , 2011, Chaos.
[18] Shawn D. Pethel,et al. Exact Test of Independence Using Mutual Information , 2014, Entropy.
[19] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[20] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[21] R. FitzHugh. Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.
[22] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[23] Gregory J. Chaitin,et al. On the Length of Programs for Computing Finite Binary Sequences , 1966, JACM.
[24] Sachit Butail,et al. Information Flow in Animal-Robot Interactions , 2014, Entropy.
[25] M. Elowitz,et al. A synthetic oscillatory network of transcriptional regulators , 2000, Nature.
[26] Y. Lai,et al. What symbolic dynamics do we get with a misplaced partition? On the validity of threshold crossings analysis of chaotic time-series , 2001 .
[27] S. D. Pethel,et al. Exact significance test for Markov order , 2014 .
[28] M Palus,et al. Synchronization as adjustment of information rates: detection from bivariate time series. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[29] Xiao Wang,et al. Identifying Chaotic FitzHugh-Nagumo Neurons Using Compressive Sensing , 2014, Entropy.
[30] Dimitris Kugiumtzis,et al. Nearest neighbor estimate of conditional mutual information in feature selection , 2012, Expert Syst. Appl..
[31] Jie Sun,et al. Identifying the Coupling Structure in Complex Systems through the Optimal Causation Entropy Principle , 2014, Entropy.
[32] Konstantin Mischaikow,et al. Coarse Dynamics for Coarse Modeling: An Example From Population Biology , 2014, Entropy.
[33] A. Kraskov,et al. Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.