Ana Colubi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ana Colubi has a total of 22 co-authors. Here are the top co-authors by number of shared publications:
- Erricos John Kontoghiorghes
Cyprus University of Technology
5 shared publications - Gil González-Rodríguez
European Center for Soft Computing
5 shared publications Gil González-Rodríguez
Universidad de Oviedo
3 shared publications- Angela Blanco-Fernández
University of Oviedo
2 shared publications - Gil González-Rodríguez
University of Oviedo
2 shared publications - Manuel Montenegro
Universidad de Oviedo
2 shared publications
Latest Publications
- 1 March 2018
- Published by Springer Nature
- p. 101-108
The Spiking Problem in the Context of the Isotonic Regression
- 1 March 2018
- Published by Springer Nature
- p. 101-108
The Spiking Problem in the Context of the Isotonic Regression
- 2 February 2018
- Published by Springer Nature in Computational Statistics
- Vol. 33 (2) , 639-658
New designs to consistently estimate the isotonic regression
- 2 February 2018
- Published by Springer Nature in Computational Statistics
- Vol. 33 (2) , 639-658
New designs to consistently estimate the isotonic regression
- 1 January 2017
- Published by Elsevier in Econometrics and Statistics
- Vol. 1
Econometrics and Statistics
- 1 January 2017
- Published by Elsevier in Econometrics and Statistics
- Vol. 1
Econometrics and Statistics
- 1 January 2017
- Published by Elsevier in Econometrics and Statistics
- Vol. 1, 118-127
On the consistency of bootstrap methods in separable Hilbert spaces
- 1 January 2017
- Published by Elsevier in Econometrics and Statistics
- Vol. 1, 118-127
On the consistency of bootstrap methods in separable Hilbert spaces
- 30 July 2016
- Published by Springer Nature in Advances in Intelligent Systems and Computing
- p. 135-140
On Some Functional Characterizations of (Fuzzy) Set-Valued Random Elements
- 30 July 2016
- Published by Springer Nature in Advances in Intelligent Systems and Computing
- p. 135-140
On Some Functional Characterizations of (Fuzzy) Set-Valued Random Elements
- Open Access
Lasso Estimation of an Interval-Valued Multiple Regression Model
A multiple interval-valued linear regression model considering all the cross-relationships between the mids and spreads of the intervals has been introduced recently. A least-squares estimation of the regression parameters has been carried out by transforming a quadratic optimization problem with inequality constraints into a linear complementary problem and using Lemke's algorithm to solve it. Due to the irrelevance of certain cross-relationships, an alternative estimation process, the LASSO (Least Absolut Shrinkage and Selection Operator), is developed. A comparative study showing the differences between the proposed estimators is provided.
Open AccessLasso Estimation of an Interval-Valued Multiple Regression Model
A multiple interval-valued linear regression model considering all the cross-relationships between the mids and spreads of the intervals has been introduced recently. A least-squares estimation of the regression parameters has been carried out by transforming a quadratic optimization problem with inequality constraints into a linear complementary problem and using Lemke's algorithm to solve it. Due to the irrelevance of certain cross-relationships, an alternative estimation process, the LASSO (Least Absolut Shrinkage and Selection Operator), is developed. A comparative study showing the differences between the proposed estimators is provided.
- 1 January 2015
- Published by Springer Nature
- p. 185-191
Lasso Estimation of an Interval-Valued Multiple Regression Model
- 1 January 2015
- Published by Springer Nature
- p. 185-191
Lasso Estimation of an Interval-Valued Multiple Regression Model
- 11 July 2014
- Published by Taylor & Francis in International Journal of Computer Mathematics
- Vol. 93 (4) , 627
Special issue on computational statistics
- 11 July 2014
- Published by Taylor & Francis in International Journal of Computer Mathematics
- Vol. 93 (4) , 627
Special issue on computational statistics
- 1 January 2013
- Published by Springer Nature
- p. 43-52
On the Estimation of the Regression Model M for Interval Data
- 1 January 2013
- Published by Springer Nature
- p. 43-52
On the Estimation of the Regression Model M for Interval Data
- 1 January 2013
- Published by Springer Nature
- p. 19-31
Linear Regression Analysis for Interval-valued Data Based on Set Arithmetic: A Review
- 1 January 2013
- Published by Springer Nature
- p. 19-31
Linear Regression Analysis for Interval-valued Data Based on Set Arithmetic: A Review