Results 261 to 270 of about 6,487,763 (293)

Model Selection for the Trend Vector Model

Journal of Classification, 2013
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Hsiu-Ting Yu, Mark de Rooij
openaire   +3 more sources

Comparison of Model Selection for Regression

Neural Computation, 2003
We discuss empirical comparison of analytical methods for model selection. Currently, there is no consensus on the best method for finite-sample estimation problems, even for the simple case of linear estimators. This article presents empirical comparisons between classical statistical methods—Akaike information criterion (AIC) and Bayesian ...
Vladimir Cherkassky, Yunqian Ma
openaire   +3 more sources

Weibull model selection for reliability modelling

Reliability Engineering & System Safety, 2004
A large number of models have been derived from the two-parameter Weibull distribution and are referred to as Weibull models. They exhibit a wide range of shapes for the density and hazard functions, which makes them suitable for modelling complex failure data sets.
Murthy, D. N. P., Bulmer, M., Eccleston, J. A.   +2 more
openaire   +4 more sources

Bayesian Model Selection for Heteroskedastic Models

SSRN Electronic Journal, 2008
It is well known that volatility asymmetry exists in financial markets. This paper reviews and investigates recently developed techniques for Bayesian estimation and model selection applied to a large group of modern asymmetric heteroskedastic models.
Chen, Cathy W.S., Gerlach, Richard H., So, Mike K.P.   +2 more
openaire   +1 more source

Bayesian Model Selection and Model Averaging

Journal of Mathematical Psychology, 2000
This paper reviews the Bayesian approach to model selection and model averaging. In this review, I emphasize objective Bayesian methods based on noninformative priors. I will also discuss implementation details, approximations, and relationships to other methods. Copyright 2000 Academic Press.
openaire   +3 more sources

A Selecting-the-Best Method for Budgeted Model Selection

2011
The paper focuses on budgeted model selection, that is the selection between a set of alternative models when the ratio between the number of model assessments and the number of alternatives, though bigger than one, is low. We propose an approach based on the notion of probability of correct selection, a notion borrowed from the domain of Monte Carlo ...
Gianluca Bontempi, Olivier Caelen
openaire   +2 more sources

Cross validation for model selection: A review with examples from ecology

Ecological Monographs, 2023
Luke A Yates, Zach Aandahl, Shane A RichardS   +2 more
exaly  

Model selection in acoustic modeling

6th European Conference on Speech Communication and Technology, 1999
Scott Saobing Chen, Ramesh A. Gopinath
openaire   +1 more source

Model Selection and Inference

Technometrics, 2000
Surekha Mudivarthy, M. Bhaskara Rao
openaire   +1 more source

Post-model-selection inference in linear regression models: An integrated review

Statistics Surveys, 2022
Abbas Khalili, Masoud Asgharian
exaly