Results 11 to 20 of about 6,487,763 (293)
Interval Selection in the Streaming Model [PDF]
Theoretical Computer Science, 2015 A set of intervals is independent when the intervals are pairwise disjoint. In the interval selection problem we are given a set $\mathbb{I}$ of intervals and we want to find an independent subset of intervals of largest cardinality.
AW Kolen +9 more
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Selecting a Model for Forecasting [PDF]
Econometrics, 2021 We investigate forecasting in models that condition on variables for which future values are unknown. We consider the role of the significance level because it guides the binary decisions whether to include or exclude variables. The analysis is extended by allowing for a structural break, either in the first forecast period or just before.
Jennifer L. Castle +2 more
openaire +3 more sources
Journal of Classification, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paolo Giudici, Emanuela Raffinetti
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On model selection in cosmology [PDF]
SciPost Physics Lecture Notes, 2019 We review some of the common methods for model selection: the goodness of fit, the likelihood ratio test, Bayesian model selection using Bayes factors, and the classical as well as the Bayesian information theoretic approaches. We illustrate these different approaches by comparing models for the expansion history of the Universe.
Kerscher, Martin, Weller, Jochen
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Model Fit and Model Selection [PDF]
Review, 2007 This paper uses an example to show that a model that fits the available data perfectly may pro vide worse answers to policy questions than an alternative, imperfectly fitting model. The author argues that, in the context of Bayesian estimation, this result can be interpreted as being due to the use of an inappropriate prior over the parameters of shock
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On Zero-Inflated Alternative Hyper-Poisson Distribution
Statistica, 2022 Here we develop a zero-inflated version of the alternative hyper-Poisson distribution and discuss its important statistical properties such as probability generating function, expressions for mean, variance, factorial moments, skewness, kurtosis ...
Satheesh Kumar, Rakhi Ramachandran
doaj +1 more source
Making predictive modelling ART: accurate, reliable, and transparent
Ecosphere, 2020 Models are increasingly being used for prediction in ecological research. The ability to generate accurate and robust predictions is necessary to help respond to ecosystem change and to further scientific research.
Korryn Bodner +2 more
doaj +1 more source
On the Selection of Forecasting Models [PDF]
SSRN Electronic Journal, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Inoue, Atsushi, Kilian, Lutz
openaire +4 more sources
Model Selection in Threshold Models [PDF]
Journal of Time Series Analysis, 2001 This paper considers information criteria as model evaluation tools for nonlinear threshold models. Results concerning the consistency of information criteria in selecting the lag order of linear autoregressive models are extended to nonlinear autoregressive threshold models.
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Adaptive Covariance Estimation with model selection [PDF]
, 2012 We provide in this paper a fully adaptive penalized procedure to select a covariance among a collection of models observing i.i.d replications of the process at fixed observation points. For this we generalize previous results of Bigot and al.
A. G. Journel +12 more
core +4 more sources