Henrik Nyman
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View article: Assessing reliability and factorial validity of the Swedish version of the recovery experience questionnaire adapted for at-work recovery
Assessing reliability and factorial validity of the Swedish version of the recovery experience questionnaire adapted for at-work recovery Open
Recovery from work stress is crucial for health and well-being. While research has strongly focused on recovery processes after the workday, there is increasing recognition of the importance of such processes during work. A challenge in in…
View article: Successful projects or success in project management - are projects dependent on a methodology?
Successful projects or success in project management - are projects dependent on a methodology? Open
The purpose of this paper is to bridge two seemingly disparate views of project management: proponents of project management methodologies promote a view where a standard set of predefined project practices guarantee project success, while…
View article: Structure Learning of Contextual Markov Networks using Marginal Pseudo‐likelihood
Structure Learning of Contextual Markov Networks using Marginal Pseudo‐likelihood Open
Markov networks are popular models for discrete multivariate systems where the dependence structure of the variables is specified by an undirected graph. To allow for more expressive dependence structures, several generalizations of Markov…
View article: Marginal Pseudo-Likelihood Learning of Discrete Markov Network Structures
Marginal Pseudo-Likelihood Learning of Discrete Markov Network Structures Open
Markov networks are a popular tool for modeling multivariate distributions over a set of discrete variables. The core of the Markov network representation is an undirected graph which elegantly captures the dependence structure over the va…
View article: Stratified Gaussian graphical models
Stratified Gaussian graphical models Open
Gaussian graphical models represent the backbone of the statistical toolbox for analyzing continuous multivariate systems. However, due to the intrinsic properties of the multivariate normal distribution, use of this model family may hide …
View article: Stratified Gaussian graphical models
Stratified Gaussian graphical models Open
Gaussian graphical models represent the backbone of the statistical toolbox for analyzing continuous multivariate systems. However, due to the intrinsic properties of the multivariate normal distribution, use of this model family may hide …
View article: Stratified Gaussian Graphical Models
Stratified Gaussian Graphical Models Open
Gaussian graphical models represent the backbone of the statistical toolbox for analyzing continuous multivariate systems. However, due to the intrinsic properties of the multivariate normal distribution, use of this model family may hide …