Cover Image

A Comparison of Different Representations of Ordinal Patterns and Their Usability in Data Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schnurr, Alexander, Silbernagel, Angelika
Format:	Preprint
Published:	2024
Subjects:	Databases Probability 62M10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ordinal pattern dependence and multivariate measures of dependence
by: Silbernagel, Angelika, et al.
Published: (2024)

Limit Theorems for the Symbolic Correlation Integral and the Renyi-2 Entropy under Short-range Dependence
by: Schnurr, Alexander, et al.
Published: (2024)

Depth Patterns and their Applications in Animal Tracking
by: Betken, Annika, et al.
Published: (2024)

The Joint Asymptotic Distribution of Entropy and Complexity
by: Silbernagel, Angelika, et al.
Published: (2025)

The Integer-valued Moving-Average Random Field
by: Silbernagel, Angelika, et al.
Published: (2026)

On filter-type estimation of discretely sampled cyclic long-memory processes
by: Ayache, Antoine, et al.
Published: (2024)

On the Weak Convergence of the Function-Indexed Sequential Empirical Process and its Smoothed Analogue under Nonstationarity
by: Scholze, Florian Alexander, et al.
Published: (2024)

Fractional Cointegration of Geometric Functionals
by: Caponera, Alessia, et al.
Published: (2025)

On the novel geometric and negative binomial INAR(1) processes
by: Bouzar, Nadjib
Published: (2023)

Separation rates for the detection of synchronization of interacting point processes in a mean field frame. Application to neuroscience
by: Tchouanti, Josué, et al.
Published: (2024)

Mixed orthogonality graphs for continuous-time stationary processes
by: Fasen-Hartmann, Vicky, et al.
Published: (2023)

Expectation thinning operators based on linear fractional probability generating functions
by: Aly, Emad-Eldin A. A., et al.
Published: (2017)

Generalized Ordinal Patterns Allowing for Ties and Their Applications in Hydrology
by: Schnurr, Alexander, et al.
Published: (2024)

Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression
by: Das, Abhinav, et al.
Published: (2024)

Mixed orthogonality graphs for continuous-time state space models and orthogonal projections
by: Fasen-Hartmann, Vicky, et al.
Published: (2023)

Critical Points of Random Neural Networks
by: Di Lillo, Simmaco
Published: (2025)

M-estimation for Gaussian processes with time-inhomogeneous drifts from high-frequency data
by: Shimizu, Yasutaka
Published: (2025)

Nowcasting using regression on signatures
by: Cohen, Samuel N., et al.
Published: (2023)

Maxentropy completion and properties of some partially defined Stationary Markov chains
by: Collet, Pierre, et al.
Published: (2024)

First-order planar autoregressive model
by: Shklyar, Sergiy
Published: (2024)

The relation of bias with risk in empirically constrained inferences
by: Sakthivadivel, Dalton A R
Published: (2025)

Some limit theorems for locally stationary Hawkes processes
by: Deschatre, Thomas, et al.
Published: (2025)

Faster identification of faster Formula 1 drivers via time-rank duality
by: Fry, John, et al.
Published: (2023)

A Note on Physical Dependence and Mixing Conditions for Triangular Arrays
by: Heinrichs, Florian
Published: (2026)

A Wide-Sense Stationarity Test Based on the Geometric Structure of Covariance
by: Wang, Yinbu, et al.
Published: (2025)

Asymptotic Equivalence of Locally Stationary Processes and Bivariate White Noise
by: Butucea, Cristina, et al.
Published: (2024)

grangersearch: An R Package for Exhaustive Granger Causality Testing with Tidyverse Integration
by: Korfiatis, Nikolaos
Published: (2026)

Robust estimation of a Markov chain transition matrix from multiple sample paths
by: Leskelä, Lasse, et al.
Published: (2025)

A Theoretical Review of Area Production Rates as Test Statistics for Detecting Nonequilibrium Dynamics in Ornstein-Uhlenbeck Processes
by: Strang, Alexander
Published: (2024)

On Markov-dependent reflected autoregressive processes and related models
by: Dimitriou, Ioannis
Published: (2024)

On a class of multiplicative Lindley-type recursions with Markov-modulated dependencies
by: Dimitriou, Ioannis
Published: (2025)

(Almost) complete characterization of stability of a discrete-time Hawkes process with inhibition and memory of length two
by: Costa, Manon, et al.
Published: (2023)

Fractal and Regular Geometry of Deep Neural Networks
by: Di Lillo, Simmaco, et al.
Published: (2025)

Asymptotic Expansions for High-Frequency Option Data
by: Chong, Carsten H., et al.
Published: (2023)

A Minimum Distance Estimator Approach for Misspecified Ergodic Processes
by: Borodavka, Jaroslav I., et al.
Published: (2025)

Beyond the delta method
by: Lejay, Antoine, et al.
Published: (2022)

Conditional distributions for the nested Dirichlet process via sequential imputation
by: Donald, Evan, et al.
Published: (2025)

Inference for Functional Data under Markov Constraints
by: Naepels, Ulysse, et al.
Published: (2026)

On a characterization of probability distribution based on maxima of independent or max-independent random variables
by: Rao, B. L. S. Prakasa
Published: (2024)

Predicting Dengue Outbreaks: A Dynamic Approach with Variable Length Markov Chains and Exogenous Factors
by: Rocha, Marília Gabriela, et al.
Published: (2024)