MISSing the World. Models as Isolations and Credible Surrogate Systems
نویسندگان
چکیده
منابع مشابه
Learning Credible Models
In many settings, it is important that a model be capable of providing reasons for its predictions (i.e., the model must be interpretable). However, the model’s reasoning may not conform with well-established knowledge. In such cases, while interpretable, the model lacks credibility. In this work, we formally define credibility in the linear setting and focus on techniques for learning models t...
متن کاملSurrogate models in ill-conditioned systems
Ridge versions of an ill-conditioned system are alleged to ‘‘act more like an orthogonal system’’ than the system itself. Alternatives, called surrogates and based on the conditioning of linear systems, are shown to yield smaller expected mean squares than OLS, and uniformly smaller residual sums of squares than ridge. Ridge and surrogate solutions are compared on several marques of orthogonali...
متن کاملMissing Data as Part of the Social Behavior in Real-World Financial Complex Systems
Many real-world networks are known to exhibit facts that counter our knowledge prescribed by the theories on network creation and communication patterns. A common prerequisite in network analysis is that information on nodes and links will be complete because network topologies are extremely sensitive to missing information of this kind. Therefore, many real-world networks that fail to meet thi...
متن کاملSimultaneous credible bands for latent Gaussian models
Deterministic Bayesian inference for latent Gaussian models has recently become available using integrated nested Laplace approximations (INLA). Applying the INLAmethodology, marginal estimates for elements of the latent field can be computed efficiently, providing relevant summary statistics like posterior means, variances and pointwise credible intervals. In this paper, we extend the use of I...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Erkenntnis
سال: 2009
ISSN: 0165-0106,1572-8420
DOI: 10.1007/s10670-008-9135-9