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Everything about Identifiability analysis
Methods in mathematical statistics
Identifiability analysis is a group of methods found in mathematical statistics that are used to determine how well the parameters of a model are estimated by the quantity and quality of experimental data. Therefore, these methods explore not only identifiability of a model, but also the relation of the model to particular experimental data or, more generally, the data collection process. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Identifiability analysisA 5-minute orientation
- Skim a recent paper: g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update)Influential work since 2022
- Pick up a classic book: Remote sensing of Earth terrainThe most-reprinted book on the subject
- Read the landmark paper: Practical identifiability analysis of large environmental simulation modelsCited 541 times
- Go sideways: PottersWheelA closely related topic
- Go sideways: Structural identifiabilityA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Practical identifiability analysis of large environmental simulation models
Data-based identifiability analysis of non-linear dynamical models
SIAN: software for structural identifiability analysis of ODE models
Structural and practical identifiability analysis of outbreak models
Identifiability of factor analysis: some results and open problems
Benchmarking tools for a priori identifiability analysis
Identifiability analysis for receiving water body quality modelling
Structural and Practical Identifiability Analysis of Zika Epidemiological Models
🆕 Influential since 2022
g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update)
STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability
Structural identifiability analysis of age-structured PDE epidemic models
Parameter sensitivity analysis and parameter identifiability analysis of electrochemical model under wide discharge rate
Identifiability Analysis of Positioning and Synchronization Errors in Airborne Distributed Coherence Aperture Radars
📚 Books worth reading
- 📕Remote sensing of Earth terrainJin Au Kong · 1985
- 📕Evaluation of spatial, radiometric and spectrum thematic mapper performance for coastal studiesV. Klemas · 1985
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- PottersWheel PottersWheel is a MATLAB toolbox for mathematical modeling of time-dependent dynamical systems that can be expressed as chemical reaction networks or ordinary…
- Structural identifiability In the area of system identification, a dynamical system is structurally identifiable if it is possible to infer its unknown parameters by measuring its…
- Confirmatory factor analysis In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social science research. It is used to test…
- Identifiability In statistics, identifiability is a property which a model must satisfy for precise inference to be possible. A model is identifiable if it is theoretically…
- Structural equation modeling Structural equation modeling (SEM) is a diverse set of methods used by scientists for both observational and experimental research. SEM is used mostly…
- Regression analysis In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome…
- Linear least squares Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems…
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