The Elusive Basis of Inferential Robustness
Bibliographic Data
| ID | 10707752 |
|---|---|
| Authors | James Justus (corresponding author) |
| Year | 2012 |
| Volume | 79 |
| Issue | 5 |
| Pages | 795-807 |
| Publication date | 2012-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0031-8248 • E-ISSN: 1539-767X |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1086/667902 |
| OpenAlex | W2178681679 |
| Language | EN |
| Citations received | 8 |
| References cited | 16 |
Robustness concepts are often invoked to manage two obstacles confronting models of ecological systems: complexity and uncertainty. The intuitive idea is that any result derived from many idealized but credible models is thereby made more reliable or is better confirmed. An appropriate basis for this inference has proven elusive. Here, several representations of robustness analysis are vetted, paying particular attention to complex models of ecosystems and the global climate. The claim that robustness is itself confirmatory because robustness analysis employs a Bayesian variety-of-evidence argument is criticized, but recent overwhelming pessimism about robustness may have a silver lining
Bayesian probability · Biology · Epistemology · Inference · Machine learning · Pessimism · Robustness (evolution) · Artificial Intelligence · Computer Science · Ecosystem dynamics and resilience · Evolution and Genetic Dynamics · Philosophy · Philosophy and History of Science
Model-based robustness analysis as constraint-checking
Philosophy of Astrophysics
A multi-approach strategy in climate attribution studies
Mathematical Models and Robustness Analysis in Epistemic Democracy
The epistemic value of independent lies
Environmental Risk Analysis
The Belief Illusion
Robustness Analysis as Explanatory Reasoning
Re-Engineering Philosophy for Limited Beings
Some varieties of robustness
A Critical Assessment of Levins's The Strategy of Model Building in Population Biology (1966)
Why do scientists prefer to vary their experiments
Simulations, Models, and Theories
When Climate Models Agree
Whose Probabilities? Predicting Climate Change with Ensembles of Models
A Bayesian Account of Independent Evidence with Applications
Robustness Analysis
Confirmation and Robustness of Climate Models
Mathematics and Indispensability
Robustness and Integrative Survival in Significance Testing
| Citations per year | 0.57 |
|---|---|
| Citation span | 2012 - 2026 (15) |
| Highly cited | No |