ordpy: A Python package for data analysis with permutation entropy and ordinal network methods
Arthur A. B. Pessa, Haroldo V. Ribeiro
Data Analysis papers — page 29
physics.data-anBrowse archive
Robust test statistics for data sets with missing correlation information
Lukas KochUniqueness of the Random Illumination Microscopy Variance Equation
Simon Labouesse, Jérôme Idier, Anne Sentenac et al.Point Cloud Transformers applied to Collider Physics
Vinicius Mikuni, Florencia CanelliSequence-based Machine Learning Models in Jet Physics
Rafael Teixeira de LimaGeneralized asymptotic formulae for estimating statistical significance in high energy physics analyses
M. J. BassoLearning to Isolate Muons
Julian Collado, Kevin Bauer, Edmund Witkowski et al.Fast and scalable likelihood maximization for Exponential Random Graph Models with local constraints
Nicolò Vallarano, Matteo Bruno, Emiliano Marchese et al.AdaPT: Adaptable Particle Tracking for Spherical Microparticles in Lab on Chip Systems
Kristina Dingel, Rico Huhnstock, André Knie et al.Development of a Vertex Finding Algorithm using Recurrent Neural Network
Kiichi Goto, Taikan Suehara, Tamaki Yoshioka et al.Inference of stochastic time series with missing data
Sangwon Lee, Vipul Periwal, Junghyo JoDiscovering dependencies in complex physical systems using Neural Networks
Sachin KasturePattern Ensembling for Spatial Trajectory Reconstruction
Shivam Pathak, Mingyi He, Sergey Malinchik et al.Enhancing the accuracy of a data-driven reconstruction of bivariate jump-diffusion models with corrections for higher orders of the sampling interval
Esra Aslim, Thorsten Rings, Lina Zabawa et al.Interlaboratory consensus building challenge
Giovanni ManaReconstruction of nanoscale particles from single-shot wide-angle FEL diffractions patterns with physics-informed neural networks
Thomas Stielow, Stefan ScheelMLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
Joosep Pata, Javier Duarte, Jean-Roch Vlimant et al.Detection of Dynamical Regime Transitions with Lacunarity as a Multiscale Recurrence Quantification Measure
Tobias Braun, Vishnu R. Unni, R. I. Sujith et al.Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
Ayana Ghosh, Bobby G. Sumpter, Ondrej Dyck et al.E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
Benjamin Nachman, Jesse ThalerImproved Asymptotic Formulae for Statistical Interpretation Based on Likelihood Ratio Tests
Li-Gang Xia, Yan ZhangFitting very flexible models: Linear regression with large numbers of parameters
David W. Hogg, Soledad VillarConvolutional neural network for self-mixing interferometric displacement sensing
Stéphane Barland, François GustaveNetwork analysis with quantum dynamics clarifies why photosystem II exploits both chlorophyll a and b
Eunchul Kim, Daekyung Lee, Souichi Sakamoto et al.A Digital Quantum Algorithm for Jet Clustering in High-Energy Physics
Diogo Pires, Pedrame Bargassa, João Seixas et al.