Bayesian forecasting with information theory
Mohammad Hossein Namjoo
Data Analysis papers — page 9
physics.data-anBrowse archive
Partial information decomposition for mixed discrete and continuous random variables
Chiara Barà, Yuri Antonacci, Marta Iovino et al.Model selection for extremal dependence structures using deep learning: Application to environmental data
Manaf Ahmed, Véronique Maume-Deschamps, Pierre RibereauSignal model parameter scan using Normalizing Flow
Masahiko Saito, Masahiro Morinaga, Tomoe Kishimoto et al.Converting sWeights to Probabilities with Density Ratios
D. I. Glazier, R. TysonAnalog-Based Forecasting of Turbulent Velocity: Relationship between Unpredictability and Intermittency
Ewen Frogé, Carlos Granero-Belinchon, Stéphane G. Roux et al.SeeBand: A highly efficient, interactive tool for analyzing electronic transport data
Michael Parzer, Alexander Riss, Fabian Garmroudi et al.Burst-tree structure and higher-order temporal correlations
Tibebe Birhanu, Hang-Hyun JoPreservation of the Direct Photon and Neutral Meson Analysis in the PHENIX Experiment at RHIC
Gabor David, Maxim Potekhin, Dmitri SmirnovA short introduction to Neural Networks and their application to Earth and Materials Science Science
Duccio Fanelli, Luca Bindi, Lorenzo Chicchi et al.Wavelength calibration and spectral sensitivity correction of luminescence measurements for dosimetry applications: method comparison tested on the IR-RF of K-feldspar
Mariana Sontag-González, Dirk Mittelstraß, Sebastian Kreutzer et al.Data-driven upper bounds and event attribution for unprecedented heatwaves
Mark D. Risser, Likun Zhang, Michael F. WehnerIdentification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
Thomas MostModelling parametric uncertainty in PDEs models via Physics-Informed Neural Networks
Milad Panahi, Giovanni Michele Porta, Monica Riva et al.Unraveling Complexity: Singular Value Decomposition in Complex Experimental Data Analysis
Judith F. Stein, Aviad Frydman, Richard BerkovitsInvestigating event-shape methods in the search for the chiral magnetic effect in relativistic heavy ion collisions
Han-Sheng Li, Yicheng Feng, Fuqiang WangEggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction
Paolo Calafiura, Jay Chan, Loic Delabrouille et al.Extracting self-similarity from data
Nikos Bempedelis, Luca Magri, Konstantinos SteirosExploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
Taki KirouaniParameter inference from a non-stationary unknown process
Kieran S. Owens, Ben D. FulcherCombination of operational modal analysis algorithms to identify modal parameters of an actual centrifugal compressor
Leandro O. Zague, Daniel A. Castello, Carlos F. T. MattData-driven modeling from biased small training data using periodic orbits
Kengo Nakai, Yoshitaka SaikiUnbalanced optimal transport for stochastic particle tracking
Kairui Hao, Atharva Hans, Pavlos Vlachos et al.A meshless method to compute the proper orthogonal decomposition and its variants from scattered data
Iacopo Tirelli, Miguel Alfonso Mendez, Andrea Ianiro et al.Extreme-value Statistics: Rudiments and applications
Evangelos Matsinos