心理学
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Detecting association changes in intensive longitudinal data in real time: An exponentially weighted moving average procedure
作者Evelien Schat; Sarah Schrevens; Francis Tuerlinckx; Eva Ceulemans
作者单位1. Quantitative Psychology and Individual Differences, Faculty of Psychology and Educational Sciences KU Leuven Leuven Belgium
Comparing training window selection methods for prediction in non‐stationary time series
作者Fridtjof Petersen; Jonas M. B. Haslbeck; Jorge N. Tendeiro; Anna M. Langener; Martien J. H. Kas; Dimitris Rizopoulos; Laura F. Bringmann
作者单位1. Department of Psychometrics and Statistics, Faculty of Behavioural and Social Sciences University of Groningen Groningen The Netherlands; 2. Psychological Methods Group University of Amsterdam Amsterdam The Netherlands; 3. Department of Clinical Psychological Science University of Maastricht Maastricht The Netherlands; 4. Graduate School of Advanced Science and Engineering Hiroshima University Higashihiroshima Japan; 5. Department of Biomedical Data Science Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth Lebanon New Hampshire USA; 6. Groningen Institute for Evolutionary Life Sciences University of Groningen Groningen The Netherlands; 7. Department of Biostatistics Erasmus University Medical Center Rotterdam The Netherlands; 8. Department of Epidemiology Erasmus University Medical Center Rotterdam The Netherlands
Simultaneous detection of gradual and abrupt structural changes in Bayesian longitudinal modelling using entropy and model fit measures
作者Yanling Li; Xiaoyue Xiong; Zita Oravecz; Sy‐Miin Chow
作者单位1. Department of Human Development and Family Studies Pennsylvania State University University Park Pennsylvania USA; 2. Social Science Research Institute Pennsylvania State University University Park Pennsylvania USA; 3. Institute for Computational and Data Sciences Pennsylvania State University University Park Pennsylvania USA
A multilevel Ornstein–Uhlenbeck process with individual‐ and variable‐specific estimates as random effects
作者José Ángel Martínez‐Huertas; Emilio Ferrer
作者单位1. Department of Methodology of Behavioral Sciences National Distance Education University Madrid Spain; 2. Department of Psychology University of California Davis Davis California USA
An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models
作者Yong Zhang; Anja F. Ernst; Ginette Lafit; Ward B. Eiling; Laura F. Bringmann
作者单位1. Department of Psychometrics and Statistics University of Groningen Groningen the Netherlands; 2. Methodology of Educational Sciences Research Group Faculty of Psychology and Educational Sciences, KU Leuven Leuven Belgium; 3. Department of Methodology and Statistics Faculty of Social and Behavioural Sciences, Utrecht University Utrecht the Netherlands
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters
作者Meng Chen; Michael D. Hunter; Sy‐Miin Chow
作者单位1. Department of Psychology University of Southern California Los Angeles California USA; 2. Department of Human Development and Family Studies The Pennsylvania State University University Park Pennsylvania USA
Reduced rank regression for mixed predictor and response variables
作者Mark de Rooij; Lorenza Cotugno; Roberta Siciliano
作者单位1. Methodology and Statistics Department Leiden University Leiden The Netherlands; 2. Department of Physics University of Naples Federico II Naples Italy; 3. Department of Electrical Engineering and Information Technology University of Naples Federico II Naples Italy
Joint analysis of dispersed count‐time data using a bivariate latent factor model
作者Cornelis J. Potgieter; Akihito Kamata; Yusuf Kara; Xin Qiao
作者单位1. Texas Christian University Fort Worth Texas USA; 2. University of Johannesburg Auckland Park South Africa; 3. Southern Methodist University Dallas Texas USA; 4. University of Miami Miami Florida USA; 5. University of Southern Florida Tampa Florida USA
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