Results 11 to 20 of about 2,501,945 (313)

Spherical Minimum Description Length

Entropy, 2018
We consider the problem of model selection using the Minimum Description Length (MDL) criterion for distributions with parameters on the hypersphere.
Trevor Herntier, Koffi Eddy Ihou, Anthony Smith, Anand Rangarajan, Adrian Peter   +4 more
doaj   +1 more source

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, Marie‐Josée Fortin, Péter K. Molnár   +2 more
doaj   +1 more source

Data transformation and model selection in bivariate allometry [PDF]

Biology Open
Gary C. Packard
doaj   +2 more sources

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.
openaire   +2 more sources

Variable selection for the single index model [PDF]

, 2007
We consider variable selection in the single-index model. We prove that the popular leave-m-out crossvalidation method has different behaviour in the single-index model from that in linear regression models or nonparametric regression models.
Yingcun Xia, Xia, Y., Kong, Efang, Kong, E., Efang Kong, Xia, Yingcun   +5 more
core   +1 more source

Should Selection of the Optimum Stochastic Mortality Model Be Based on the Original or the Logarithmic Scale of the Mortality Rate?

Risks, 2023
Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models—in terms, that is,
Miguel Santolino
doaj   +1 more source

COSMOLOGICAL MODEL SELECTION [PDF]

International Journal of Modern Physics A, 2008
We give an overview of the recent progress in the field of cosmological model selection. Model selection statistics, such as those based on information theory and on Bayesian statistics are introduced and discussed. In the Bayesian framework, the marginalised model likelihood, or evidence, is the primary model selection statistic.
Mukherjee, Pia, Parkinson, David
openaire   +3 more sources

Computational Nosology and Precision Psychiatry [PDF]

Computational Psychiatry, 2017
This article provides an illustrative treatment of psychiatric morbidity that offers an alternative to the standard nosological model in psychiatry. It considers what would happen if we treated diagnostic categories not as causes of signs and symptoms ...
Karl J. Friston, A. David Redish, Joshua A. Gordon   +2 more
doaj   +3 more sources