Consistency of Cross-Validation when the data are curves - Hart, Wehrly - 1993Hart, J. D. & Wehrly, T. E. (1993). Consistency of cross-validation when the data are curves. Stochastic Processes and their Applications 45, 351-361.
(Aswaniet al., 2011; Shao, 1993; Yang, 2007), but there are no results on which cross-validation procedure provides the best tradeoff between computational complexity and statistical performance. Furthermore, the theoretical properties on the consistency of variable selection when using the NODE ...
Homrighausen, D., McDonald, D.J.: Risk consistency of cross-validation with lasso-type procedures. Stat. Sin. 1017–1036 (2017) Homrighausen, D., McDonald, D.: The lasso, persistence, and cross-validation. In: International Conference on Machine Learning, pp. 1031–1039 (2013). PMLR ...
Darren Homrighausen and Daniel J McDonald. Risk-consistency of cross-validation with lasso-type procedures. arXiv preprint arXiv:1308.0810, 2013.Homrighausen, D. and McDonald, D. (2013b). Risk consistency of cross-validation with Lasso- type procedures. Arxiv:1308.0810....
Various evaluation criteria have been utilized to assess the performance of different algorithms used for network inference. The most common approaches can be categorized into three main types: external data validation, network consistency analysis, and synthetic data evaluation. External data validation, ...
even with very large sample sizes. In contrast, certain kinds of leave-k-out cross-validation, where k increases with n, will be consistent. Frankly, I don’t consider this is a very important result as there is never a true model. In reality, every model is wrong, so consistency is ...
A notable advantage of performing model selection using prediction error is that the assumed model is not required to be consistent with the generative model of the actual data, whereas the penalty term in the BIC is derived by explicitly using the assumption of model consistency. In this study...
The stability and consistency of all the pain scales was proven by excellent inter-rater and intra-rater reliability (intraclass correlation >0.8). In terms of discriminative ability, assessment of pain in the PACU by all measures yielded higher agreement with the decision to treat than assessment...
Results elsewhere [12, Lemma 3] [14, Lemma 7] formalise the intuition that a `reasonable' similarity measure =-=[14]-=-, which recognises that an object is more similar to itself than any other object, will be sufficient for consistency. This property is here called `definiteness' after ...
Results are discussed about supervised learning with such networks and regression methods in terms of consistency and bounds for the generalization and prediction error. Especially, some recent results are reviewed addressing learning with data sampled by moving sensors leading to non-stationary and ...