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1
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
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What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?

Computational statistics, 2021-09, Vol.36 (3), p.2009-2031 [Peer Reviewed Journal]

This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 ;This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020. ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-020-00999-9

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2
Goodness-of-fit indices for partial least squares path modeling
Goodness-of-fit indices for partial least squares path modeling
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Goodness-of-fit indices for partial least squares path modeling

Computational statistics, 2013-04, Vol.28 (2), p.565-580 [Peer Reviewed Journal]

The Author(s) 2012 ;Springer-Verlag Berlin Heidelberg 2013 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-012-0317-1

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3
Discrete cuckoo search algorithm for the travelling salesman problem
Discrete cuckoo search algorithm for the travelling salesman problem
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Discrete cuckoo search algorithm for the travelling salesman problem

Neural computing & applications, 2014-06, Vol.24 (7-8), p.1659-1669 [Peer Reviewed Journal]

Springer-Verlag London 2013 ;2015 INIST-CNRS ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-013-1402-2

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4
ClustGeo: an R package for hierarchical clustering with spatial constraints
ClustGeo: an R package for hierarchical clustering with spatial constraints
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ClustGeo: an R package for hierarchical clustering with spatial constraints

Computational statistics, 2018-12, Vol.33 (4), p.1799-1822 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Computational Statistics is a copyright of Springer, (2018). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-018-0791-1

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5
Detection and estimation of additive outliers in seasonal time series
Detection and estimation of additive outliers in seasonal time series
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Detection and estimation of additive outliers in seasonal time series

Computational statistics, 2020-09, Vol.35 (3), p.1393-1409 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-019-00928-5

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6
maxLik: A package for maximum likelihood estimation in R
maxLik: A package for maximum likelihood estimation in R
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maxLik: A package for maximum likelihood estimation in R

Computational statistics, 2011-09, Vol.26 (3), p.443-458 [Peer Reviewed Journal]

Springer-Verlag 2010 ;Springer-Verlag 2011 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-010-0217-1

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7
Correction to: Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution
Correction to: Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution
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Correction to: Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution

Computational statistics, 2024-02, Vol.39 (1), p.159-159 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-022-01313-5

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8
Correction to: Bootstrapping binary GEV regressions for imbalanced datasets
Correction to: Bootstrapping binary GEV regressions for imbalanced datasets
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Correction to: Bootstrapping binary GEV regressions for imbalanced datasets

Computational statistics, 2024-02, Vol.39 (1), p.215-215 [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-023-01365-1

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9
Applied Probability
Applied Probability
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Applied Probability

Springer Science+Business Media, LLC 2010 ;ISSN: 1431-875X ;ISBN: 9781441971654 ;ISBN: 1441971653 ;ISBN: 9781441971647 ;ISBN: 1441971645 ;EISBN: 9781441971654 ;EISBN: 1441971653 ;DOI: 10.1007/978-1-4419-7165-4 ;OCLC: 900604373 ;OCLC: 1097102927

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10
Modelling rankings in R: the PlackettLuce package
Modelling rankings in R: the PlackettLuce package
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Modelling rankings in R: the PlackettLuce package

Computational statistics, 2020-09, Vol.35 (3), p.1027-1057 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-020-00959-3

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11
Clustering multivariate functional data in group-specific functional subspaces
Clustering multivariate functional data in group-specific functional subspaces
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Clustering multivariate functional data in group-specific functional subspaces

Computational statistics, 2020-09, Vol.35 (3), p.1101-1131 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-020-00958-4

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12
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models
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Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models

Computational statistics, 2023-09, Vol.38 (3), p.1425-1425 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2023 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-022-01321-5

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13
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
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Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

Computational statistics, 2022-11, Vol.37 (5), p.2671-2692 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-022-01207-6

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14
The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition
The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition
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The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition

Computational statistics, 2023-03, Vol.38 (1), p.25-51 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-022-01215-6

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15
Poisson Point Processes: Imaging, Tracking, and Sensing
Poisson Point Processes: Imaging, Tracking, and Sensing
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Poisson Point Processes: Imaging, Tracking, and Sensing

Springer Science + Business Media 2010 ;ISBN: 1441969225 ;ISBN: 9781441969224 ;ISBN: 9781489994493 ;ISBN: 1489994491 ;EISBN: 1441969233 ;EISBN: 9781441969231 ;DOI: 10.1007/978-1-4419-6923-1 ;OCLC: 676697701

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16
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
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Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization

Computational statistics, 2023-03, Vol.38 (1), p.77-78 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-022-01274-9

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17
Analysis of progressive type-II censored gamma distribution
Analysis of progressive type-II censored gamma distribution
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Analysis of progressive type-II censored gamma distribution

Computational statistics, 2023-03, Vol.38 (1), p.481-508 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-022-01239-y

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18
The odd log-logistic Lindley-G family of distributions: properties, Bayesian and non-Bayesian estimation with applications
The odd log-logistic Lindley-G family of distributions: properties, Bayesian and non-Bayesian estimation with applications
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The odd log-logistic Lindley-G family of distributions: properties, Bayesian and non-Bayesian estimation with applications

Computational statistics, 2020-03, Vol.35 (1), p.281-308 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Computational Statistics is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-019-00932-9

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19
Model-based boosting in R: a hands-on tutorial using the R package mboost
Model-based boosting in R: a hands-on tutorial using the R package mboost
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Model-based boosting in R: a hands-on tutorial using the R package mboost

Computational statistics, 2014-02, Vol.29 (1-2), p.3-35 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2012 ;Springer-Verlag Berlin Heidelberg 2014 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-012-0382-5

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20
Computing electricity spot price prediction intervals using quantile regression and forecast averaging
Computing electricity spot price prediction intervals using quantile regression and forecast averaging
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Article 		Add to My Research

Computing electricity spot price prediction intervals using quantile regression and forecast averaging

Computational statistics, 2015-09, Vol.30 (3), p.791-803 [Peer Reviewed Journal]

The Author(s) 2014 ;Springer-Verlag Berlin Heidelberg 2015 ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-014-0523-0

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