Nonparametric seemingly unrelated regression
By M. S. Smith, Robert Kohn. 2000
114 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ef73860a1c807028079434b14aee71f041fc1b0c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Thomas Kneib
- N. Klein
- Stefan Lang
- Bani K. Mallick
- Christopher C. Holmes
- Stephan Klasen
- Tomohiro Ando
- Andreas Brezger
In Statistics and Probability
- N. Klein
- Thomas Kneib
- Stefan Lang
- Bani K. Mallick
- Stephan Klasen
- Christopher C. Holmes
- Tomohiro Ando
- Ludwig Fahrmeir
Citations in the corpus
- A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model (2010, background): “Smith and Kohn (2000) and in recent Bayesian econometric and statistics texts.”
- Generalized Nonlinear Modeling With Multivariate Free-Knot Regression Splines (2003, methodology): “Model choice in nonparametricSUR for Gaussian response data has been considered by Holmes, Denison and, Mallick (1999) and Smith and Kohn (2000).”
- Bayesian structured additive distributional regression for multivariate responses (2015, background): “Smith and Kohn (2000) for example showed in simulation studies that estimates can become inefficient and that non-linear effects can be biased when applying univariate regressions instead of a multivariate model.”