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Incorporating Parameter Estimability Into Model Selection
2019
Frontiers in Ecology and Evolution
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for both the number of parameters and their informational complexity. ...
performance was evaluated using the frequency of selecting the generating model, the frequency of selecting the model with the best predictive ability, and the frequency of selecting the model with the minimum Kullback-Leibler ...
Boik, Mark Greenwood, Steve Cherry, Subhash Lele, Jose Ponciano, Taal Levi, Kristen Sauby, and Robert Holt for comments on earlier drafts of this work. ...
doi:10.3389/fevo.2019.00427
fatcat:chnrsncronfq5jwlzrktzdixsi
Low Vitamin D Status and Influenza Vaccination Rates are Positive Predictors of Early Covid-19 Related Deaths in Europe – A Modeling Approach
2021
Zenodo
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using generalized linear models: Percent test-standardized number of SARS-CoV-2-cases, population size, life expectancy, severity of governmental responses, influenza-vaccination coverage and vitamin ...
Conclusion: Adequate vitamin D levels are important, while − contrary to current opinion − flu-vaccination in the elderly is a putative aggravating factor of Covid-19 related deaths. ...
Model adequacy was measured by R 2 , the proportion of variance explained by the predictors; for the GLMs a Kullback-Leibler divergence-based R 2 measure was used 13 . ...
doi:10.5281/zenodo.4680691
fatcat:ol4pqlm2onek7ekwzorroz4rma
Temporal association of neuropsychological test performance using unsupervised learning reveals a distinct signature of Alzheimer's disease status
2019
Alzheimer s & Dementia Translational Research & Clinical Interventions
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This approach could be a viable option for early AD screening in clinical practice and clinical trials. ...
Neuropsychological (NP) testing is an attractive modality for screening early evidence of AD. ...
Kullback-Leibler (KL) divergence distribution plots on (A) FHS and (B) NACC data sets. ...
doi:10.1016/j.trci.2019.11.006
pmid:31921970
pmcid:PMC6944730
fatcat:5in2hkgeijcs5lhn5lmydijw7u
1 Generalities
[chapter]
2019
Non-Extensive Entropy Econometrics for Low Frequency Series
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On one side, Shannon-Jaynes-Kullback-Leibler-based approaches are currently used for modelling economic phenomena competitively with classical econometrics. ...
Following what has been said above, this monograph targets developing a robust approach generalizing Kullback-Leibler-Shannon entropy for solving inverse problems related to national account models in ...
doi:10.1515/9783110605914-003
fatcat:iqhlhaasnfbr5c52k7kemju544
Fast identification of optimal fascicle configurations from standard clinical diffusion MRI using Akaike information criterion
2014
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
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Starting from a set of fitted models with increasing number of fascicles, we use Akaike information criterion to estimate the probability of each candidate model to be the best Kullback-Leibler model. ...
In this paper, we aim at proposing a novel approach to identify such a configuration from clinical diffusion MRI where only few diffusion images can be acquired and time is of the essence. ...
Starting with a candidate set, we search for the best Kullback-Leibler (KL) MCM (i.e., at minimal KL divergence to the true unknown diffusion model) as a combination of the candidate models. ...
doi:10.1109/isbi.2014.6867853
dblp:conf/isbi/StammCPB14
fatcat:hnxigoe2yjherlqnqlhm2f6udm
Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications
[article]
2018
arXiv
pre-print
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In this paper, we derive guarantees for MRLEs in Kullback-Leibler divergence, a general measure of prediction accuracy. ...
We assume only that the densities have a convex parametrization and that the regularization is definite and positive homogenous. ...
We also thank Jacob Bien, Roy Han, Joseph Salmon, Noah Simon, and Yizhe Zhu for valuable input. ...
arXiv:1710.02950v2
fatcat:rs3xsgcgzjezjbkxx7kgexfdsi
Developing a Thermal Comfort Index for Vegetated Open Spaces in Cities of Arid Zones
2014
Energy Procedia
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The theory of Akaike's information is used as criterion to model selection. ...
For this, there were campaigns monitoring of microclimatic parameters and field surveys about the real sensation of the people on a pedestrian street of Mendoza Metropolitan Area (MMA) in both winter and ...
., Kullback-Leibler information) [26] . The AIC is not a test in any sense: no single hypothesis is made to be the null, no arbitrary a level is set, and no notion of significance is needed. ...
doi:10.1016/j.egypro.2015.06.056
fatcat:pb7dhtdannadpidseecqajbifa
Segmenting accelerometer data from daily life with unsupervised machine learning
2019
PLoS ONE
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To address these limitations, we present a data-driven approach for segmenting and clustering the accelerometer data using unsupervised machine learning. ...
that can be gained for a variety of raw data metrics. ...
To evaluate that a subsample can generalize to a larger population we tested the reproducibility. ...
doi:10.1371/journal.pone.0208692
pmid:30625153
pmcid:PMC6326431
fatcat:b5cboupmrbd2zocye6qr6ws75u
BIITE: A Tool to Determine HLA Class II Epitopes from T Cell ELISpot Data
2016
PLoS Computational Biology
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We present a Bayesian approach to solve this problem and have implemented it for use with the statistical language R under the BIITE moniker. ...
Furthermore, users can enter additional information they might have (from literature or other experiments) in the form of prior information. ...
Acknowledgments We have used the high performance cluster at Imperial College for this project. ...
doi:10.1371/journal.pcbi.1004796
pmid:26953935
pmcid:PMC4783075
fatcat:ulquq42rfvbphkjzqq33ksz5gm
Segmenting accelerometer data from daily life with unsupervised machine learning
[article]
2018
biorxiv/medrxiv
pre-print
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information that can be gained for a variety of raw data metrics. ...
A cut-points approach was used as comparison. ...
To evaluate that a subsample can generalize to a larger population we tested the reproducibility. ...
doi:10.1101/263046
fatcat:3kzqerr5bzbxpgu27rdaq74p3y
A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors
2001
Artificial Life
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In this article we study a model for the evolution of the spectral sensitivity of visual receptors for agents in a continuous virtual environment. ...
The properties of the evolved sensors are analyzed for different scenarios. ...
Thus the resulting sampling error for the experimental distribution p ev causes the significant outliers in the value for the Kullback-Leibler distance. ...
doi:10.1162/106454601753138961
pmid:11580876
fatcat:q5x7odgrufcojc7xmsvdfyxrla
A brief introduction to mixed effects modelling and multi-model inference in ecology
2018
PeerJ
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Whilst LMMs offer a flexible approach to modelling a broad range of data types, ecological data are often complex and require complex model structures, and the fitting and interpretation of such models ...
We offer practical solutions and direct the reader to key references that provide further technical detail for those seeking a deeper understanding. ...
ACKNOWLEDGEMENTS This paper is the result of a University of Exeter workshop on best practice for the application of mixed effects models and model selection in ecological studies. ...
doi:10.7717/peerj.4794
pmid:29844961
pmcid:PMC5970551
fatcat:6de6rwt5sfbd3c2o7wojglaa3m
INFORMATION THEORETIC REGRESSION METHODS
[chapter]
1997
Advances in Econometrics
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Pesaran (1987) showed a similar result for the case when the distribution of y under M k is lognormal.
33
MDI Tests Information theoretic testing of linear hypotheses regarding a regression coefficient ...
Discrimination Information The most widely known information theoretic measure of discrepancy between two distributions is the Kullback-Leibler discrimination information function = -H[f(x) ] -E f {log ...
GENERAL INSTRUCTIONS FOR COMPLETING SF 298 The ReDOrt Documentation Page (RDP) is used in announcing and cataloging reports. ...
doi:10.1108/s0731-9053(1997)0000012004
fatcat:ansgqbrkw5aazawl2hcv3ciz5i
Diffusion Tensor Field Registration in the Presence of Uncertainty
[chapter]
2009
Lecture Notes in Computer Science
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The dissimilarity between distributions of tensors in two different voxels is computed using the Kullback-Leibler divergence to drive a deformable registration process, which is not only affected by principal ...
We propose a novel method for deformable tensor-to-tensor registration of Diffusion Tensor Imaging (DTI) data. ...
Registration Framework The Kullback-Leibler (KL) divergence dissimilarity for tensor-variate Gaussian distributions is used as a voxelwise dissimilarity metric in a hierarchical regis tration framework ...
doi:10.1007/978-3-642-04268-3_23
fatcat:hzfxac3pajak3cllfnbjezal7q
Performance of variable selection methods in predicting language proficiency using language learning proficiency
2015
Applied Mathematical Sciences
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sat for the Malaysian English University Test (MUET). ...
Two hundred thirty pre-university students of UMS participated by answering a self-report questionnaire called the Strategy Inventory for Language Learning (SILL), a background questionnaire, and then ...
Introduced by Hirotugu Akaike [6] , it was based on Kullback-Leibler information [7, 8] where Akaike discovered a valid connection between Kullback-Leibler information and likelihood theory. ...
doi:10.12988/ams.2015.411989
fatcat:4a4sczyrxjc3bd2dajk5zmou7y
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