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pro vyhledávání: '"Haslbeck, J.M.B."'
Publikováno v:
In Schizophrenia Research August 2024 270:465-475
Akademický článek
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Autor:
Haslbeck, J.M.B., Ryan, O., van der Maas, H.L.J., Waldorp, L.J., Isvoranu, A.-M., Epskamp, S., Waldrop, L., Borsboom, D.
Publikováno v:
Network Psychometrics with R ISBN: 9781003111238
Network Psychometrics with R: A Guide for Behavioral and Social Scientists, 193-209
STARTPAGE=193;ENDPAGE=209;TITLE=Network Psychometrics with R
Network Psychometrics with R: A Guide for Behavioral and Social Scientists, 193-209
STARTPAGE=193;ENDPAGE=209;TITLE=Network Psychometrics with R
This chapter discusses time-varying network models, which allow for network models with parameters that change across time. These models are relevant when one is interested in how individuals change across time. The chapter introduces the reader to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4c94efde4b924f0b422312b4ce85c04
https://doi.org/10.4324/9781003111238-14
https://doi.org/10.4324/9781003111238-14
Autor:
Haslbeck, J.M.B., Ryan, O.
Publikováno v:
Multivariate Behavioral Research, 57(5), 735-766. Psychology Press Ltd
Idiographic modeling is rapidly gaining popularity, promising to tap into the within-person dynamics underlying psychological phenomena. To gain theoretical understanding of these dynamics, we need to make inferences from time series models about the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::53ef2fab6f50625081b783d5400ef886
https://dare.uva.nl/personal/pure/en/publications/recovering-withinperson-dynamics-from-psychological-time-series(41d44255-eedf-4724-8b55-60c2b8bf7056).html
https://dare.uva.nl/personal/pure/en/publications/recovering-withinperson-dynamics-from-psychological-time-series(41d44255-eedf-4724-8b55-60c2b8bf7056).html
Autor:
Dalege, J., Haslbeck, J.M.B., Marsman, M., Isvoranu, A.-M., Epskamp, S., Waldrop, L., Borsboom, D.
Publikováno v:
Network Psychometrics with R: A Guide for Behavioral and Social Scientists, 233-245
STARTPAGE=233;ENDPAGE=245;TITLE=Network Psychometrics with R
Network Psychometrics with R ISBN: 9781003111238
STARTPAGE=233;ENDPAGE=245;TITLE=Network Psychometrics with R
Network Psychometrics with R ISBN: 9781003111238
This chapter introduces the reader to studying psychological dynamics operating on network models. The chapter will illustrate such dynamics using the Ising model, an undirected network model for binary variables in which nodes mutually influence one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6aa44e9471e1ea0e51b9c42588b6adb
https://doi.org/10.4324/9781003111238-17
https://doi.org/10.4324/9781003111238-17
Autor:
Epskamp, S., Haslbeck, J.M.B., Isvoranu, A.-M., van Borkulo, C.D., Waldrop, L.J., Borsboom, D.
Publikováno v:
Network Psychometrics with R: A Guide for Behavioral and Social Scientists, 93-110
STARTPAGE=93;ENDPAGE=110;TITLE=Network Psychometrics with R
Network Psychometrics with R ISBN: 9781003111238
STARTPAGE=93;ENDPAGE=110;TITLE=Network Psychometrics with R
Network Psychometrics with R ISBN: 9781003111238
This chapter introduces pairwise Markov random fields (PMRFs), a class of models of which the parameters can be represented as an undirected network. In this undirected network nodes represent variables and edges represent the strength of association
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ecc20113e1c389feab8028ed0adedf
https://doi.org/10.4324/9781003111238-8
https://doi.org/10.4324/9781003111238-8
Akademický článek
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Akademický článek
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Autor:
Haslbeck, J.M.B., Wulff, D.U.
Publikováno v:
Computational Statistics, 35(4). Springer Verlag
We improve instability-based methods for the selection of the number of clusters k in cluster analysis by developing a corrected clustering distance that corrects for the unwanted influence of the distribution of cluster sizes on cluster instability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::aae88e714c085aab49b907b7033b99b0
https://dare.uva.nl/personal/pure/en/publications/estimating-the-number-of-clusters-via-normalized-cluster-instability(e86ed22f-ab36-42d1-9281-60851933874d).html
https://dare.uva.nl/personal/pure/en/publications/estimating-the-number-of-clusters-via-normalized-cluster-instability(e86ed22f-ab36-42d1-9281-60851933874d).html
Autor:
Haslbeck, J.M.B.
This dissertation deals with the problem of modeling psychopathology. Its first part focuses on statistical (data) models and introduces a number of models for cross-sectional and time series data that can be visualized as a network. This includes Mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::ea59dbd1e6389ad704db8f61669921c9
https://dare.uva.nl/personal/pure/en/publications/modeling-psychopathology(878fd1a0-2932-4114-9950-d783abfbbd10).html
https://dare.uva.nl/personal/pure/en/publications/modeling-psychopathology(878fd1a0-2932-4114-9950-d783abfbbd10).html