:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Prakash, Aviral, Southworth, Ben S., Klasky, Marc L.
Format:	Preprint
Published:	2025
Subjects:	Computational Physics Data Analysis, Statistics and Probability
Online Access:	https://arxiv.org/abs/2506.18855
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data
by: Wang, Z., et al.
Published: (2020)

Dynamic mode decomposition as an analysis tool for time-dependent partial differential equations
by: Rot, Miha, et al.
Published: (2022)

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

Mesh-free sparse identification of nonlinear dynamics
by: Gao, Mars Liyao, et al.
Published: (2025)

Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data
by: Doria, Domiziano, et al.
Published: (2024)

Exact joint distributions of three global characteristic times for Brownian motion
by: Hartmann, Alexander K., et al.
Published: (2024)

Distinguishing subsampled power laws from other heavy-tailed distributions
by: Sormunen, Silja, et al.
Published: (2024)

Renormalization group for spectral collapse in random matrices with power-law variance profiles
by: Fleig, Philipp
Published: (2025)

Machine learning approaches for automatic cleaning of investigative drilling data
by: Huang, Fei, et al.
Published: (2025)

Koopman neural operator as a mesh-free solver of non-linear partial differential equations
by: Xiong, Wei, et al.
Published: (2023)

Exact closed-form recurrence probabilities for biased random walks at any step number
by: Mookerjee, Debendro, et al.
Published: (2024)

Velocity-based sparse photon clustering for space debris ranging by single-photon Lidar
by: Liu, Xialin, et al.
Published: (2024)

Learning thermodynamically constrained equations of state with uncertainty
by: Sharma, Himanshu, et al.
Published: (2023)

Sparse flow reconstruction methods to reduce the costs of analyzing large unsteady datasets
by: Stahl, Spencer L., et al.
Published: (2024)

Parameter and hidden-state inference in mean-field models from partial observations of finite-size neural networks
by: Ratas, Irmantas, et al.
Published: (2026)

Integral Bayesian symbolic regression for optimal discovery of governing equations from scarce and noisy data
by: Cabanas-Tirapu, Oriol, et al.
Published: (2025)

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

A standard form of master equations for general non-Markovian jump processes: the Laplace-space embedding framework and asymptotic solution
by: Kanazawa, Kiyoshi, et al.
Published: (2023)

Identifiability and improper solutions in the probabilistic partial least squares regression with unique variance
by: Arai, Takashi
Published: (2025)

Exact Identity Linking Entropy Production and Mutual Information
by: Cho, Doohyeong, et al.
Published: (2025)

Reconstruction of network dynamics from partial observations
by: Berry, Tyrus, et al.
Published: (2024)

Conditional splitting probabilities for hidden-state inference in drift-diffusive processes
by: Sezik, Emir, et al.
Published: (2025)

Universal emergence of local Zipf-Mandelbrot law
by: Cugini, Davide, et al.
Published: (2024)

Exact fluctuation relation for open systems beyond the Jarzynski equality
by: Rahbar, Mohammad, et al.
Published: (2025)

Detecting local perturbations of networks in a latent hyperbolic embedding space
by: Longhena, Alice, et al.
Published: (2024)

Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting
by: Guillemaud, Martin, et al.
Published: (2024)

Extension of the Langevin power curve analysis by separation per operational state
by: Wiedemann, Christian, et al.
Published: (2023)

Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling
by: Galioto, Nicholas, et al.
Published: (2024)

Identifying statistical indicators of temporal asymmetry using a data-driven approach
by: Nogare, Teresa Dalle, et al.
Published: (2025)

Recurrence threshold selection for obtaining robust recurrence characteristics in different embedding dimensions
by: Kraemer, K. Hauke, et al.
Published: (2025)

Parameter inference and nonequilibrium identification for Markovian systems based on coarse-grained observations
by: Wu, Bingjie, et al.
Published: (2024)

A matrix form solution of the multi-dimensional generalized Langevin equation in the quadratic potential
by: Mushtaq, Rana Imran, et al.
Published: (2025)

Rediscovering shallow water equations from experimental data
by: Heinrich, Kjell S., et al.
Published: (2025)

Blume-Capel model: Estimation of a three stable state network for $-\bf 1$, $\bf 0$ and $\bf +1$ data
by: Waldorp, Lourens, et al.
Published: (2026)

Thermodynamics of data
by: Stosic, Borko
Published: (2025)

Expansion of net correlations in terms of partial correlations
by: Arenaza, Bautista, et al.
Published: (2024)

Improvement of system identification of stochastic systems via Koopman generator and locally weighted expectation
by: Tahara, Yuki, et al.
Published: (2024)

Comparative study of machine learning and statistical methods for automatic identification and quantification in γ-ray spectrometry
by: Phan, Dinh Triem, et al.
Published: (2025)

Physics-guided machine learning predicts the planet-scale performance of solar farms with sparse, heterogeneous, public data
by: Jahangir, Jabir Bin, et al.
Published: (2024)

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