Continuous time state space modeling of panel data by means of sem

By Johan H. L. Oud, R. Jansen. 2000

172 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3a69f785041e861a72e2abefe96723e316a9ab6d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Moon-ho Ringo Ho
2. Lourens J. Waldorp
3. Sacha Epskamp
4. Conor V. Dolan
5. Denny Borsboom
6. Sy-Miin Chow
7. R. Mõttus
8. E. Hamaker

In Economics and Econometrics

1. Moon-ho Ringo Ho
2. Lourens J. Waldorp
3. Sacha Epskamp
4. Conor V. Dolan
5. Denny Borsboom
6. Sy-Miin Chow
7. R. Mõttus
8. E. Hamaker

In Management Science and Operations Research

1. Sacha Epskamp
2. Lourens J. Waldorp
3. E. Hamaker
4. Denny Borsboom
5. Moon-ho Ringo Ho
6. Conor V. Dolan
7. Sy-Miin Chow
8. R. Mõttus

Citations in the corpus

• Equivalence and Differences Between Structural Equation Modeling and State-Space Modeling Techniques (2010, methodology): “They were originally developed as single–subject time series estimation tools (e.g., Kalman, 1960), and have later been adapted for use with panel data (e.g., Oud & Jansen, 2000; Singer, 1998) and multiple-subject repeated measures data (e.g., Dolan, 2002).”
• The Gaussian Graphical Model in Cross-Sectional and Time-Series Data (2016, background): “Promising work is being done in this area where VAR networks can be estimated on nonequidistant data sets (Driver, Oud, & Voelkle, 2017; Oravecz, Tuerlinckx, & Vandekerckhove,2009; Oud & Jansen, 2000).”