ReSyst: a novel technique to Reduce the Systematic uncertainty for precision measurements
Petra Van Mulders
Data Analysis papers — page 44
physics.data-anBrowse archive
Statistical Models with Uncertain Error Parameters
Glen CowanImage registration and super resolution from first principles
Colin B. Clement, Matthew Bierbaum, James P. SethnaOn Micromechanical Parameter Identification With Integrated DIC and the Role of Accuracy in Kinematic Boundary Conditions
O. Rokoš, J. P. M. Hoefnagels, R. H. J. Peerlings et al.Effect of centrality bin width corrections on two-particle number and transverse momentum differential correlation functions
Victor Gonzalez, Ana Marin, Pedro Ladron de Guevara et al.Detection of time reversibility in time series by ordinal patterns analysis
Johann H. Martínez, José L. Herrera-Diestra, Mario ChavezGeneral Resolution Enhancement Method in Atomic Force Microscopy (AFM) Using Deep Learning
Y. Liu, Q. M. Sun, Dr. W. H. Lu et al.Extracting distribution parameters from multiple uncertain observations with selection biases
Ilya Mandel, Will M. Farr, Jonathan R. GairHarmonizing discovery thresholds and reporting two-sided confidence intervals: a modified Feldman & Cousins method
Knut Dundas MoråBayesian Modeling of Inconsistent Plastic Response due to Material Variability
Francesco Rizzi, Mohammad Khalil, Reese E. Jones et al.Density estimation on small datasets
Wei-Chia Chen, Ammar Tareen, Justin B. KinneyLinear classifier, least-squares cost function, and outliers
Babatunde M. AyeniField Formulation of Parzen Data Analysis
D. HornReducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment
G. N. Perdue, A. Ghosh, M. Wospakrik et al.Integration with an Adaptive Harmonic Mean Algorithm
Allen Caldwell, Philipp Eller, Vasyl Hafych et al.Treatment of material radioassay measurements in projecting sensitivity for low-background experiments
R. H. M. Tsang, I. J. Arnquist, E. W. Hoppe et al.High-Performance Reconstruction of Microscopic Force Fields from Brownian Trajectories
Laura Pérez García, Jaime Donlucas Pérez, Giorgio Volpe et al.An iterative method to estimate the combinatorial background
Georgy Kornakov, Tetyana GalatyukOptimal parameters for anomalous diffusion exponent estimation from noisy data
Yann Lanoiselée, Denis S. Grebenkov, Grzegorz Sikora et al.Statistical Criticality arises in Most Informative Representations
Ryan John Cubero, Junghyo Jo, Matteo Marsili et al.End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC
Michael Andrews, Manfred Paulini, Sergei Gleyzer et al.Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider
Adrian Alan Pol, Gianluca Cerminara, Cecile Germain et al.Non-Gaussian power grid frequency fluctuations characterized by L\'evy-stable laws and superstatistics
Benjamin Schäfer, Christian Beck, Kazuyuki Aihara et al.Application of the Iterated Weighted Least-Squares Fit to counting experiments
Hans Dembinski, Michael Schmelling, Roland WaldiScaling in the eigenvalue fluctuations of the empirical correlation matrices
Udaysinh T. Bhosale, S. Harshini Tekur, M. S. Santhanam