Cover Image

Bayesian characterization of porous media using three-microphone tube method in extended frequency ranges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Ziqi, Xiang, Ning
Format:	Preprint
Published:	2026
Subjects:	Classical Physics Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A surrogate-based approach to accelerate the design and build phases of reinforced concrete bridges
by: Achhab, Mouhammed, et al.
Published: (2025)

Accelerating the Serviceability-Based Design of Reinforced Concrete Rail Bridges under Geometric Uncertainties induced by unforeseen events: A Surrogate Modeling approach
by: Achhab, Mouhammed, et al.
Published: (2025)

Evidential Reconstruction of Network from Time Series
by: Xian, Yishu, et al.
Published: (2026)

Exact calculation of the probabilities of rare events in cluster-cluster aggregation
by: Rajesh, R., et al.
Published: (2024)

Data-driven Experimental Modal Analysis by Dynamic Mode Decomposition
by: Saito, Akira, et al.
Published: (2026)

Emergent heavy-tailed distributions from a Markovian random walk
by: Lima, Henrique S., et al.
Published: (2026)

Brownian friction dynamics: fluctuations in sliding distance
by: Xu, Ruibin, et al.
Published: (2024)

The dynamical memory of tidal stellar streams: Joint inference of the Galactic potential and the progenitor of GD-1 with flow matching
by: Viterbo, Giuseppe, et al.
Published: (2025)

Machine Learning Symmetry Discovery for Integrable Hamiltonian Dynamics
by: Hou, Wanda, et al.
Published: (2024)

Bayesian estimation of dissipation and sound speed in tube measurements using a transfer-function model
by: Chen, Ziqi, et al.
Published: (2024)

Physics-based linear regression for high-dimensional forward uncertainty quantification
by: Wang, Ziqi
Published: (2024)

Visualizing driving forces of spatially extended systems using the recurrence plot framework
by: Riedl, Maik, et al.
Published: (2024)

Gaussian fluctuations for spin systems and point processes: near-optimal rates via quantitative Marcinkiewicz's theorem
by: Dinh, Tien-Cuong, et al.
Published: (2021)

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

A unifying approach to diffusive transport in heterogeneous media
by: Lanoiselée, Yann, et al.
Published: (2026)

Bayesian stepwise estimation of qubit rotations
by: Manrique, Mylenne, et al.
Published: (2025)

Quantum frequency resampling
by: Tumbiolo, Emanuele, et al.
Published: (2025)

Avalanches of choice: how stranger-to-stranger interactions shape crowd dynamics
by: Wang, Ziqi, et al.
Published: (2025)

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

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

High-dimensional Laplace asymptotics up to the concentration threshold
by: Katsevich, Alexander, et al.
Published: (2026)

Eigenvalue distribution of some random matrices
by: Mohamed, Jebalia, et al.
Published: (2025)

Convergence of Poisson point processes and of optimal transport regularization with application in variational analysis of PET reconstruction
by: Mauritz, Marco, et al.
Published: (2024)

Asymptotic analysis of rare events in high dimensions
by: Katsevich, Anya, et al.
Published: (2025)

Quantitative Selection of Sample Structures in Small-Angle Scattering Using Bayesian Methods
by: Hayashi, Yui, et al.
Published: (2024)

Simultaneous kinetic profile and magnetic equilibrium inference with Bayesian integrated data analysis in preparation for ITER
by: Denk, S. S., et al.
Published: (2025)

Flow of temporal network properties under local aggregation and time shuffling: a tool for characterizing, comparing and classifying temporal networks
by: Bail, Didier Le, et al.
Published: (2023)

Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation supported by Bayesian Model Analysis
by: Kohlhaas, Rebecca, et al.
Published: (2025)

An efficient method for spot-checking quantum properties with sequential trials
by: Zhang, Yanbao, et al.
Published: (2026)

An effective method for profiling core-periphery structures in complex networks
by: Nie, Jiaqi, et al.
Published: (2025)

Autonomous convergence of STM control parameters using Bayesian Optimization
by: Narasimha, Ganesh, et al.
Published: (2023)

Unsupervised and semi-supervised clustering methods to identify and refine participant experience levels in educational research
by: Weihs, Julien-Pooya, et al.
Published: (2025)

A Bayesian approach to out-of-sample network reconstruction
by: Marzi, Mattia, et al.
Published: (2026)

On the signature of an image
by: Diehl, Joscha, et al.
Published: (2024)

Experimental verification of the optimal fingerprint method for detecting climate change
by: Hu, Jinbo, et al.
Published: (2024)

Iterative variational learning of committor-consistent transition pathways using artificial neural networks
by: Megías, Alberto, et al.
Published: (2024)

Bayesian hypergraph inference from scarce and noisy dynamical observations
by: Tang, Katerina, et al.
Published: (2026)

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

Automatic Forward Model Parameterization with Bayesian Inference of Conformational Populations
by: Raddi, Robert M., et al.
Published: (2024)

Scale-bridging within a complex model hierarchy for investigation of a metal-fueled circular energy economy by use of Bayesian model calibration with model error quantification
by: Gossel, Lisanne, et al.
Published: (2024)