A universal model for the Lorenz curve with novel applications for datasets containing zeros and/or exhibiting extreme inequality
Thitithep Sitthiyot, Kanyarat Holasut
Data Analysis papers — page 17
physics.data-anBrowse archive
Higher-order asymptotic corrections and their application to the Gamma Variance Model
Enzo Canonero, Alessandra Rosalba Brazzale, Glen CowanIntroducing the Single-Atom Real-Space Global Minimization Method for Solving Small Structures in Single Crystal X-ray Crystallography
Xiaodong ZhangApparent universality of 1/f spectra as an artifact of finite-size effects
M. A. Korzeniowska, A. Theodorsen, M. Rypdal et al.Multifidelity uncertainty quantification with models based on dissimilar parameters
Xiaoshu Zeng, Gianluca Geraci, Michael S. Eldred et al.Using various machine learning algorithms for quantitative analysis in Laser induced breakdown spectroscopy
Mohsen Rezaei, Fatemeh Rezaei, Parvin KarimiDynamics-Based Intrinsic Signal Model for High-Dimensional, Small-Sample Data
Yoh-ichi Mototake, Y-h. TaguchiUnveiling Pseudo-Crucial Events in Noise-Induced Phase Transitions
Jacob D. Baxley, David R. Lambert, Mauro Bologna et al.De-novo Identification of Small Molecules from Their GC-EI-MS Spectra
Adam Hájek, Michal Starý, Filip Jozefov et al.Clustering and visualization tools to study high dimensional parameter spaces: B anomalies example
Ursula Laa, German ValenciaPrincipal Geodesic Analysis applied to climate time series
Nozomi SugiuraProgress towards an improved particle flow algorithm at CMS with machine learning
Farouk Mokhtar, Joosep Pata, Javier Duarte et al.Module-based regularization improves Gaussian graphical models when observing noisy data
Magnus Neuman, Joaquín Calatayud, Viktor Tasselius et al.Enhancing Graph Topology and Clustering Quality: A Modularity-Guided Approach
Yongyu Wang, Shiqi Hao, Xiaoyang Wang et al.Multivariate Joint Recurrence Quantification Analysis: detecting coupling between time series of different dimensionalities
Sebastian Wallot, Dan MønsterHyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC
Eric Wulff, Maria Girone, David Southwick et al.Multiscale Relevance of Natural Images
Samy Lakhal, Alexandre Darmon, Iacopo Mastromatteo et al.Limit setting using spacings in the presence of unknown backgrounds
Lolian Shtembari, Allen CaldwellSuppression of accidental backgrounds with deep neural networks in the PandaX-II experiment
Nasir Shaheed, Xun Chen, Meng WangContinuous-Time Modeling and Analysis of Particle Beam Metrology
Akshay Agarwal, Minxu Peng, Vivek K. GoyalThe human factor: results of a small-angle scattering data analysis Round Robin
Brian R. Pauw, Glen J. Smales, Andy S. Anker et al.Extreme events prediction from nonlocal partial information in a spatiotemporally chaotic microcavity laser
V. A Pammi, M. G. Clerc, S. Coulibaly et al.The Classification of Short and Long-term Driving Behavior for an Advanced Driver Assistance System by Analyzing Bidirectional Driving Features
Mudasser SerajAnalytic error function and numeric inverse obtained by geometric means
Dmitri Martila, Stefan GrooteUnderstanding the complex dynamics of climate change in south-west Australia using Machine Learning
Alka Yadav, Sourish Das, K Shuvo Bakar et al.