Cover Image

Optimal experiment design for practical parameter identifiability and model discrimination

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yue, Maini, Philip K., Baker, Ruth E.
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods 92B05, 49N90, 62F99
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Exact identifiability analysis for a class of partially observed near-linear stochastic differential equation models
by: Browning, Alexander P, et al.
Published: (2025)

Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics
by: Shuttleworth, Joseph G., et al.
Published: (2023)

Spatiotemporal SEIQR Epidemic Modeling with Optimal Control for Vaccination, Treatment, and Social Measures
by: Zinihi, Achraf, et al.
Published: (2025)

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

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

A mathematical model to predict growth and treatment for UPS cancer
by: Roy, Sumit
Published: (2025)

Data-Driven Modeling of IRCU Patient Flow in the COVID-19 Pandemic
by: Navas-Ortega, Ana Carmen, et al.
Published: (2025)

Beyond level-1: Identifiability of a class of galled tree-child networks
by: Allman, Elizabeth S., et al.
Published: (2025)

Stochastic reaction networks within interacting compartments
by: Anderson, David F., et al.
Published: (2023)

Quantifying the Spatiotemporal Dynamics of Engineered Cardiac Microbundles
by: Kobeissi, Hiba, et al.
Published: (2026)

Accessibility of Modified NK Fitness Landscapes
by: Nunns, Henry, et al.
Published: (2025)

AntibodyDesignBFN: High-Fidelity Fixed-Backbone Antibody Design via Discrete Bayesian Flow Networks
by: Hu, Yue, et al.
Published: (2026)

On variational inference and maximum likelihood estimation with the λ-exponential family
by: Guilmeau, Thomas, et al.
Published: (2023)

A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth
by: Porthiyas, Jamie, et al.
Published: (2023)

Overcompensation of transient and permanent death rate increases in age-structured models with cannibalistic interactions
by: Xia, Mingtao, et al.
Published: (2023)

Mathematical modeling of tumor-immune interactions: methods, applications, and future perspectives
by: Li, Chenghang, et al.
Published: (2025)

Topological analysis of hemodynamic response to cardiac resynchronization therapy
by: Marcús, Aina Ferrà, et al.
Published: (2026)

Inference for stochastic reaction networks via logistic regression
by: Choi, Boseung, et al.
Published: (2025)

Doubly Regularized Entropic Wasserstein Barycenters
by: Chizat, Lénaïc
Published: (2023)

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

Joint trajectory and network inference via reference fitting
by: Zhang, Stephen Y
Published: (2024)

Methods for Analyzing RNA Pseudoknots via Chord Diagrams and Intersection Graphs
by: Ibrahim, Rayan, et al.
Published: (2025)

Asymptotic Robustness in Biochemical Systems
by: Hong, Hyukpyo, et al.
Published: (2025)

Personalized graph feature-based multi-omics data integration for cancer subtype identification
by: Islam, Saiful, et al.
Published: (2024)

Boosted generalized normal distributions: Integrating machine learning with operations knowledge
by: Gurlek, Ragip, et al.
Published: (2024)

Topology across Scales on Heterogeneous Cell Data
by: Torras-Pérez, Maria, et al.
Published: (2025)

Multi-objective Bayesian inference in an agent-based model of zebrafish patterns via topological data analysis
by: Liu, Yue, et al.
Published: (2026)

Identifying circular orders for blobs in phylogenetic networks
by: Rhodes, John A., et al.
Published: (2024)

A reaction network model of microscale liquid-liquid phase separation reveals effects of spatial dimension
by: Kim, Jinyoung, et al.
Published: (2024)

MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles
by: Kobeissi, Hiba, et al.
Published: (2024)

Inexact DC Algorithms in Hilbert Spaces with Applications to PDE-Constrained Optimization
by: Khanh, P. D., et al.
Published: (2026)

An Optimal Switching Approach for Bird Migration
by: Chu, Jiawei, et al.
Published: (2024)

MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles
by: Kobeissi, Hiba, et al.
Published: (2023)

The Dynamic Origin of Kleiber's Law
by: Marchesi, Riccardo
Published: (2026)

Linking discrete and continuous models of cell birth and migration
by: Martinson, W. Duncan, et al.
Published: (2023)

The Spatial Regime Conversion Method
by: Cameron, Charles G., et al.
Published: (2025)

A Dynamical Systems Analysis of Trap Music Exposure and School Dropout Among Costa Rican Adolescents
by: Rodríguez, Geraldine, et al.
Published: (2025)