Cover Image

LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Jiale, Eisenberg, Marisa C.
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Examining the impact of forcing function inputs on structural identifiability
by: Conrad, Jessica R, et al.
Published: (2024)

Not All Accuracy Is Equal: Prioritizing Independence in Infectious Disease Forecasting
by: Dudley, Carson, et al.
Published: (2025)

The effect of local ventilation on a spatiotemporal model of airborne disease transmission in indoor spaces
by: Pretty, Alexander, et al.
Published: (2023)

Multilevel classification framework for breast cancer cell selection and its integration with advanced disease models
by: Jones, Catarina Franco, et al.
Published: (2025)

Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences
by: Plank, Michael J., et al.
Published: (2024)

Exploration of methods for computing sensitivities in ODE models at dynamic and steady states
by: Lakrisenko, Polina, et al.
Published: (2024)

An information-based model selection criterion for data-driven model discovery
by: Chung, Michael C, et al.
Published: (2026)

Identifiable specializations for ODE models
by: Ovchinnikov, Alexey, et al.
Published: (2023)

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

The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification
by: Qiao, Lingxia, et al.
Published: (2024)

New tools for comparing classical and neural ODE models for tumor growth
by: Blaom, Anthony D., et al.
Published: (2025)

A nonparametric approach to practical identifiability of nonlinear mixed effects models
by: Cassidy, Tyler, et al.
Published: (2025)

The NOSTRA model: coherent estimation of infection sources in the case of possible nosocomial transmission
by: Pascall, David J, et al.
Published: (2024)

Topological model selection: a case-study in tumour-induced angiogenesis
by: McDonald, Robert A, et al.
Published: (2025)

Mantis: A Foundation Model for Mechanistic Disease Forecasting
by: Dudley, Carson, et al.
Published: (2025)

A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
by: Ziarelli, Giovanni, et al.
Published: (2024)

Bayesian estimation of transmission networks for infectious diseases
by: Xu, Jianing, et al.
Published: (2024)

A decision-theoretic framework for uncertainty quantification in epidemiological modelling
by: Steyn, Nicholas, et al.
Published: (2025)

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan
by: Haq, Ihtisham Ul, et al.
Published: (2026)

Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients
by: Taylor-LaPole, Alyssa M., et al.
Published: (2024)

Parameter identifiability in PDE models of fluorescence recovery after photobleaching
by: Ciocanel, Maria-Veronica, et al.
Published: (2023)

A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer disease
by: Wen, Zheyu, et al.
Published: (2024)

Generative diffusion model surrogates for mechanistic agent-based biological models
by: Comlekoglu, Tien, et al.
Published: (2025)

MiCull2 -- simulating mastitis transmission through milking order
by: Gussmann, Maya, et al.
Published: (2024)

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)

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
by: Drennan, Avery, et al.
Published: (2025)

Detecting disease progression from animal movement using hidden Markov models
by: Kim, Dongmin, et al.
Published: (2025)

Computational modelling of peritoneal dialysis: an overview
by: Swapnasrita, Sangita, et al.
Published: (2023)

Feature leakage and the identifiability of direct-dependency entropy models of neural activity
by: Safaai, Houman, et al.
Published: (2026)

An algorithmic framework for synthetic cost-aware decision making in molecular design
by: Fromer, Jenna C., et al.
Published: (2023)

Learning virulence-transmission relationships using causal inference
by: Surasinghe, Sudam, et al.
Published: (2026)

Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics
by: Surasinghe, Sudam, et al.
Published: (2024)

A multiscale framework integrating within-host infection kinetics with airborne transmission dynamics
by: Omame, Andrew, et al.
Published: (2025)

A primer on the use of probability generating functions in infectious disease modeling
by: Miller, Joel C.
Published: (2018)

An Entropy-initiated Coupled-Trait ODE Framework for Modeling Longitudinal Cohort Dynamics
by: Rodriguez, Anderson M.
Published: (2025)

PhysiBoSS-Models: A database for multiscale models
by: Noel, Vincent, et al.
Published: (2025)

A whole-body mathematical model of cholesterol metabolism and transport
by: Carstensen, Peter Emil, et al.
Published: (2024)

Implication of modelling choices on connectivity estimation: A comparative analysis
by: Soret, Marie, et al.
Published: (2024)

A Ca$^{2+}$ puff model based on integrodifferential equations
by: Hawker, Molly, et al.
Published: (2024)

Modelling birdsong transmission with methods from molecular sequence analysis
by: Kwong, Anthony, et al.
Published: (2025)