Search

Your search keyword '"Waldorp, Lourens J"' showing total 11 results
Start Over Author "Waldorp, Lourens J" Publisher springer science and business media llc
11 results on '"Waldorp, Lourens J"'

1. Reply to ‘Critiques of network analysis of multivariate data in psychological science’

Author

Borsboom, Denny, primary, Deserno, Marie K., additional, Rhemtulla, Mijke, additional, Epskamp, Sacha, additional, Fried, Eiko I., additional, McNally, Richard J., additional, Robinaugh, Donald J., additional, Perugini, Marco, additional, Dalege, Jonas, additional, Costantini, Giulio, additional, Isvoranu, Adela-Maria, additional, Wysocki, Anna C., additional, van Borkulo, Claudia D., additional, van Bork, Riet, additional, and Waldorp, Lourens J., additional

Published
2022
Full Text
View/download PDF

3. Author Correction: Network analysis of multivariate data in psychological science

Author

Borsboom, Denny, primary, Deserno, Marie K., additional, Rhemtulla, Mijke, additional, Epskamp, Sacha, additional, Fried, Eiko I., additional, McNally, Richard J., additional, Robinaugh, Donald J., additional, Perugini, Marco, additional, Dalege, Jonas, additional, Constantini, Giulio, additional, Isvoranu, Adela-Maria, additional, Wysocki, Anna C., additional, van Borkulo, Claudia D., additional, van Bork, Riet, additional, and Waldorp, Lourens J., additional

Published
2022
Full Text
View/download PDF

4. Network analysis of multivariate data in psychological science

Author

Borsboom, Denny, primary, Deserno, Marie K., additional, Rhemtulla, Mijke, additional, Epskamp, Sacha, additional, Fried, Eiko I., additional, McNally, Richard J., additional, Robinaugh, Donald J., additional, Perugini, Marco, additional, Dalege, Jonas, additional, Costantini, Giulio, additional, Isvoranu, Adela-Maria, additional, Wysocki, Anna C., additional, van Borkulo, Claudia D., additional, van Bork, Riet, additional, and Waldorp, Lourens J., additional

Published
2021
Full Text
View/download PDF

9. A focused information criterion for graphical models

Author

KU Leuven - ORSTAT, UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles, Pircalabelu, Eugen, Claeskens, Gerda, Waldorp, Lourens J, KU Leuven - ORSTAT, UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles, Pircalabelu, Eugen, Claeskens, Gerda, and Waldorp, Lourens J

Abstract

A new method for model selection for Gaussian Bayesian networks and Markov networks, with extensions towards ancestral graphs, is constructed to have good mean squared error properties. The method is based on the focused information criterion, and offers the possibility of fitting individual-tailored models. The focus of the research, that is, the purpose of the model, directs the selection. It is shown that using the focused information criterion leads to a graph with small mean squared error. The low mean squared error ensures accurate estimation using a graphical model; here estimation rather than explanation is the main objective. Two situations that commonly occur in practice are treated: a data-driven estimation of a graphical model and the improvement of an already pre-specified feasible model. The search algorithms are illustrated by means of data examples and are compared with existing methods in a simulation study.

Published
2015

Catalog

Books, media, physical & digital resources
See catalog results