Results 31 to 40 of about 6,104,331 (261)
Ordinal pattern dependence as a multivariate dependence measure [PDF]
In this article, we show that the recently introduced ordinal pattern dependence fits into the axiomatic framework of general multivariate dependence measures, i.e., measures of dependence between two multivariate random objects. Furthermore, we consider multivariate generalizations of established univariate dependence measures like Kendall's $τ ...
Annika Betken +3 more
openaire +4 more sources
Ordinal analysis of lexical patterns
Words are fundamental linguistic units that connect thoughts and things through meaning. However, words do not appear independently in a text sequence. The existence of syntactic rules induces correlations among neighboring words. Using an ordinal pattern approach, we present an analysis of lexical statistical connections for 11 major languages.
David Sánchez +4 more
openaire +5 more sources
Statistically Significant Pattern Mining with Ordinal Utility [PDF]
Statistically significant patterns mining (SSPM) is an essential and challenging data mining task in the field of knowledge discovery in databases (KDD), in which each pattern is evaluated via a hypothesis test. Our study aims to introduce a preference relation into patterns and to discover the most preferred patterns under the constraint of ...
Thien Q. Tran +3 more
openaire +2 more sources
Permutation Entropy of Weakly Noise-Affected Signals
We analyze the permutation entropy of deterministic chaotic signals affected by a weak observational noise. We investigate the scaling dependence of the entropy increase on both the noise amplitude and the window length used to encode the time series. In
Leonardo Ricci, Antonio Politi
doaj +1 more source
Unveiling the Connectivity of Complex Networks Using Ordinal Transition Methods
Ordinal measures provide a valuable collection of tools for analyzing correlated data series. However, using these methods to understand information interchange in the networks of dynamical systems, and uncover the interplay between dynamics and ...
Juan A. Almendral +2 more
doaj +1 more source
We provide a new testing procedure to detect serial dependence in time series. Our method is based solely on the ordinal structure of the data. We explicitly allow for ties in the data windows we consider.
C. Weiß, Alexander Schnurr
semanticscholar +1 more source
On the complementarity of ordinal patterns-based entropy and time asymmetry metrics.
Entropy and time asymmetry are two intertwined aspects of a system's dynamics, with the production of entropy marking a clear direction in the temporal dimension.
Johann H. Martínez +2 more
semanticscholar +1 more source
Subtype and Stage Inference (SuStaIn) is an unsupervised learning algorithm that uniquely enables the identification of subgroups of individuals with distinct pseudo-temporal disease progression patterns from cross-sectional datasets.
Alexandra L. Young +15 more
doaj +1 more source
Analysis of Signals from Air Conditioner Compressors with Ordinal Patterns
Most machines have devices that monitor their operation. In particular, air conditioners are routinely monitored through several measurements. A desirable outcome of such monitoring is identifying when the device will likely require maintenance.
Keila B. Costa, A. Frery
semanticscholar +1 more source
Time-Delay Identification Using Multiscale Ordinal Quantifiers
Time-delayed interactions naturally appear in a multitude of real-world systems due to the finite propagation speed of physical quantities. Often, the time scales of the interactions are unknown to an external observer and need to be inferred from time ...
Miguel C. Soriano, Luciano Zunino
doaj +1 more source

