Imagen de Portada

Exact identifiability analysis for a class of partially observed near-linear stochastic differential equation models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Browning, Alexander P, Chappell, Michael J, Rahkooy, Hamid, Loman, Torkel E, Baker, Ruth E
Formato:	Preprint
Publicado:	2025
Materias:	Methodology Quantitative Methods 12H05, 35A24, 62F99, 65C30
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Structural identifiability analysis of linear reaction-advection-diffusion processes in mathematical biology
por: Browning, Alexander P, et al.
Publicado: (2023)

A cautionary tale of model misspecification and identifiability
por: Browning, Alexander P, et al.
Publicado: (2025)

Structural identifiability of partially-observed stochastic processes: from single-particle trajectories to total particle density data
por: Ceccarelli, Arianna, et al.
Publicado: (2026)

Generalized implementation of invariant coordinate selection with positive semi-definite scatter matrices
por: Archimbaud, Aurore
Publicado: (2024)

Reliable model selection in the presence of parameter non-identifiability
por: Foo, Yong See, et al.
Publicado: (2026)

Optimal experiment design for practical parameter identifiability and model discrimination
por: Liu, Yue, et al.
Publicado: (2025)

Statistical inference for a multiscale stochastic model of enzyme kinetics via propagation of chaos
por: Ganguly, Arnab, et al.
Publicado: (2024)

A Reduced Basis Decomposition Approach to Efficient Data Collection in Pairwise Comparison Studies
por: Jiang, Jiahua, et al.
Publicado: (2025)

A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models
por: Ceccarelli, Arianna, et al.
Publicado: (2025)

An operator splitting analysis of Wasserstein--Fisher--Rao gradient flows
por: Crucinio, Francesca Romana, et al.
Publicado: (2025)

Structural identifiability of linear-in-parameter parabolic PDEs through auxiliary elliptic operators
por: Salmaniw, Yurij, et al.
Publicado: (2024)

Spatial best linear unbiased prediction: A computational mathematics approach for high dimensional massive datasets
por: Castrillon-Candas, Julio E.
Publicado: (2017)

A multivariate Birnbaum-Saunders autoregressive moving average model with application to air pollution concentration data
por: Saulo, Helton
Publicado: (2026)

Think before you fit: parameter identifiability, sensitivity and uncertainty in systems biology models
por: Preston, Simon P., et al.
Publicado: (2025)

Online Prediction For Streaming Observational Data
por: Clarke, Bertrand, et al.
Publicado: (2025)

Sparsity vs. Statistical Independence in Adaptive Signal Representations: A Case Study of the Spike Process
por: Benichou, Bertrand, et al.
Publicado: (2001)

Independent vector analysis -- an introduction for statisticians
por: Arvila, Miro, et al.
Publicado: (2025)

Remote Auditing: Design-based Tests of Randomization, Selection, and Missingness with Broadly Accessible Satellite Imagery
por: Jerzak, Connor T., et al.
Publicado: (2025)

Representation Transfer Learning for Semiparametric Regression
por: He, Baihua, et al.
Publicado: (2024)

Amalgamations in a hierarchy as a way of variable selection in compositional data analysis
por: Greenacre, Michael, et al.
Publicado: (2025)

Bayesian Level Set Clustering
por: Buch, David, et al.
Publicado: (2024)

Functional Multidimensional Scaling
por: Li, Liting
Publicado: (2025)

Left-Truncated Health Insurance Claims Data: Theoretical Review and Empirical Application
por: Weißbachm, Rafael, et al.
Publicado: (2021)

Parameter Estimation in Nonlinear Multivariate Stochastic Differential Equations Based on Splitting Schemes
por: Pilipovic, Predrag, et al.
Publicado: (2022)

Exchangeable Gaussian Processes for Staggered-Adoption Policy Evaluation
por: Gevorgyan, Hayk, et al.
Publicado: (2026)

The tail wags the distribution: Only sample the tails for efficient reliability analysis
por: Chakroborty, Promit, et al.
Publicado: (2025)

A Robbins--Monro Sequence That Can Exploit Prior Information For Faster Convergence
por: Liu, Siwei, et al.
Publicado: (2024)

Dynamical Survival Analysis for Modeling Hazard Functions with Nonlinear Systems
por: Liyanage, Dananjani, et al.
Publicado: (2026)

Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
por: Bai, Tian, et al.
Publicado: (2025)

Optimal design of experiments with quantitative-sequence factors
por: Wang, Yaping, et al.
Publicado: (2025)

Likelihood-based inference, identifiability and prediction using count data from lattice-based random walk models
por: Liu, Yihan, et al.
Publicado: (2024)

Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective
por: Hundrieser, Shayan, et al.
Publicado: (2022)

Loss Functions for Detecting Outliers in Panel Data
por: Coleman, Charles D., et al.
Publicado: (2025)

A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests
por: Takeshita, Jun-ichi, et al.
Publicado: (2020)

Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data
por: Chaabane, Khaoula Ben, et al.
Publicado: (2023)

Surrogate-based Bayesian calibration methods for chaotic systems: a comparison of traditional and non-traditional approaches
por: Holthuijzen, Maike F., et al.
Publicado: (2025)

Multiple Regression Analysis of Unmeasured Confounding
por: Knaeble, Brian, et al.
Publicado: (2025)

Estimation of the Coefficient of Variation of Weibull Distribution under Type-I Progressively Interval Censoring: A Simulation-based Approach
por: Nongrum, Bankitdor M, et al.
Publicado: (2025)

Expectation-propagation for Bayesian empirical likelihood inference
por: Ng, Kenyon, et al.
Publicado: (2025)

Confidence Sets for Causal Orderings
por: Wang, Y. Samuel, et al.
Publicado: (2023)