Results 11 to 20 of about 19,416,832 (324)
Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
Modern computational models in supervised machine learning are often highly parameterized universal approximators. As such, the value of the parameters is unimportant, and only the out of sample performance is considered.
Matthew Dixon, Tyler Ward
doaj +3 more sources
SUBSET: Best Subsets using Information Criteria [PDF]
SUBSET, written in the matrix language Gauss, is a program that identifies optimal subsets of means or proportions based on independent groups. All possible configurations of ordered subsets of groups are identified and the best model is selected using ...
C. Mitchell Dayton
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On the Disagreement of Forecasting Model Selection Criteria
Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation, among others.
Evangelos Spiliotis +2 more
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Information criteria for model selection
The rapid development of modeling techniques has brought many opportunities for data‐driven discovery and prediction. However, this also leads to the challenge of selecting the most appropriate model for any particular data task.
Jiawei Zhang, Yuhong Yang, Jie Ding
semanticscholar +1 more source
Inbreeding depression can reduce the viability of wild populations. Detecting inbreeding depression in the wild is difficult; developing accurate estimates of inbreeding can be time and labor intensive.
John H. Powell +5 more
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Scientists need to compare the support for models based on observed phenomena. The main goal of the evidential paradigm is to quantify the strength of evidence in the data for a reference model relative to an alternative model.
Mark L. Taper +6 more
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Using Information Criteria to Select Averages in CCE
In the interactive effects panel data literature information criteria are commonly used to consistently determine which of the estimated principal components factors to include.
Luca Margaritella, J. Westerlund
semanticscholar +1 more source
Predicting Window View Preferences Using the Environmental Information Criteria
Daylighting standards provide an assessment method that can be used to evaluate the quality of window views. As part of this evaluation process, designers must achieve five environmental information criteria (location, time, weather, nature, and people ...
Michael G. Kent, S. Schiavon
semanticscholar +1 more source
We introduce the new package dmbc that implements a Bayesian algorithm for clustering a set of binary dissimilarity matrices within a model-based framework.
Sergio Venturini, Raffaella Piccarreta
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Information criteria for inhomogeneous spatial point processes [PDF]
The theoretical foundation for a number of model selection criteria is established in the context of inhomogeneous point processes and under various asymptotic settings: infill, increasing domain and combinations of these.
Achmad Choiruddin +2 more
semanticscholar +1 more source

