Cover Image

Quantitative Selection of Sample Structures in Small-Angle Scattering Using Bayesian Methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hayashi, Yui, Katakami, Shun, Kuwamoto, Shigeo, Nagata, Kenji, Mizumaki, Masaichiro, Okada, Masato
Format:	Preprint
Published:	2024
Subjects:	Data Analysis, Statistics and Probability Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mesoscopic Bayesian Inference by Solvable Models
by: Katakami, Shun, et al.
Published: (2024)

Bayesian Inference for Small-Angle Scattering Data II: Core-Shell Samples
by: Oyama, Keigo, et al.
Published: (2024)

Basis Function Dependence of Estimation Precision for Synchrotron-Radiation-Based Mössbauer Spectroscopy
by: Shieh, Binsheu, et al.
Published: (2024)

GPU-Accelerated Sequential Monte Carlo for Bayesian Spectral Analysis
by: Nabika, Tomohiro, et al.
Published: (2026)

Sequential Exchange Monte Carlo: A Sampling Method for Bayesian Data Analysis without Parameter Tuning
by: Nabika, Tomohiro, et al.
Published: (2025)

Automatic Termination Strategy of Inelastic Neutron-scattering Measurement Using Bayesian Optimization for Bin-width Selection
by: Muto, Kensuke, et al.
Published: (2026)

Procedure to Reveal the Mechanism of Pattern Formation Process by Topological Data Analysis
by: Mototake, Yoh-ichi, et al.
Published: (2022)

Optimal Binning for Small-Angle Neutron Scattering Data Using the Freedman-Diaconis Rule
by: An, Jessie E., et al.
Published: (2025)

Bayesian estimation of coupling strength and heterogeneity in a coupled oscillator model from macroscopic quantities
by: Kato, Yusuke, et al.
Published: (2025)

Introducing the Single-Atom Real-Space Global Minimization Method for Solving Small Structures in Single Crystal X-ray Crystallography
by: Zhang, Xiaodong
Published: (2023)

Improvement of PolSAR Decomposition Scattering Powers Using a Relative Decorrelation Measure
by: Ratha, D., et al.
Published: (2017)

Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection
by: Jiang, Xiaolin, et al.
Published: (2024)

Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
by: Most, Thomas
Published: (2024)

Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
by: Kirouani, Taki
Published: (2024)

Intrinsic Signal Models Defined by the High-Dimensional, Small-Sample Limit
by: Mototake, Yoh-ichi, et al.
Published: (2023)

Using Partial Structure R1 to Do Molecular Replacement Calculations
by: Zhang, Xiaodong
Published: (2024)

Using Statistical Mechanics to Improve Real-World Bayesian Inference: A New Method Combining Tempered Posteriors and Wang-Landau Sampling
by: Farris, Alfred C. K.
Published: (2026)

A Bayesian Framework to Investigate Radiation Reaction in Strong Fields
by: Los, E. E., et al.
Published: (2024)

Sparse identification of evolution equations via Bayesian model selection
by: Kroll, Tim W., et al.
Published: (2025)

Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends
by: Yan, Wang-Ji, et al.
Published: (2025)

Building a Life Cycle Assessment Model using Bayesian Networks
by: Gasmi, Cedric Fraces, et al.
Published: (2024)

Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
by: Shimomiya, Taiga, et al.
Published: (2026)

Bayesian approach for uncertainty quantification of hybrid spectral unmixing in $γ$-ray spectrometry
by: Phan, Dinh Triem, et al.
Published: (2026)

Information cascade on networks and phase transitions
by: Hisakado, Masato, et al.
Published: (2023)

A Numerical Rosenblatt Method for Forced Variable Independence
by: Vavřička, Radek, et al.
Published: (2025)

Case Studies of Using the Partial-Structure R1 and the Single-Atom R1 to Assemble Small-Molecule Crystal Structures
by: Zhang, Xiaodong
Published: (2024)

Bayesian Time-Lapse Full Waveform Inversion using Hamiltonian Monte Carlo
by: de Lima, Paulo Douglas S., et al.
Published: (2023)

Bayesian Learning of Gas Transport in Three-Dimensional Fracture Networks
by: Shi, Yingqi, et al.
Published: (2023)

A Tutorial on Bayesian Analysis of Linear Shock Compression Data
by: Bernstein, Jason, et al.
Published: (2026)

Advancing Noise-Resilient Twist Angle Characterization in Bilayer Graphene through Raman Spectroscopy via GAN-CNN Modeling
by: Hu, Dan, et al.
Published: (2024)

Phase Transitions in Unsupervised Feature Selection
by: Fiorentino, Jonathan, et al.
Published: (2026)

PolyStan: PolyChord nested sampling and Bayesian evidences for Stan models
by: Fowlie, Andrew
Published: (2025)

Quantitative causality, causality-guided scientific discovery, and causal machine learning
by: Liang, X. San, et al.
Published: (2024)

Bayesian MINFLUX localization microscopy
by: Schultze, Steffen, et al.
Published: (2025)

Applying Gaussian Mixture Models to Track Reconstruction in Inelastic Scattering Experiments with Active Targets
by: Arokiaraj, A., et al.
Published: (2025)

Towards a Statistical Validation of the Critical Wave Groups Method for Free-Running Vessels in Beam Seas
by: Silva, Kevin M., et al.
Published: (2025)

Bayesian Inference with Deep Weakly Nonlinear Networks
by: Hanin, Boris, et al.
Published: (2024)

Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Application in Nuclear System Thermal-Hydraulics Codes
by: Wang, Chen, et al.
Published: (2023)

Quantitative approaches for multi-scale structural analysis with atomic resolution electron microscopy
by: Schnitzer, Noah, et al.
Published: (2025)

Model-free Analysis of Scattering and Imaging Data with Escort-Weighted Shannon Entropy and Divergence Matrices
by: Coles, Jared, et al.
Published: (2026)