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Modeling US house prices by spatial dynamic structural equation models
house prices Bayesian inference dynamic factor models spatio-temporal models cointegration lattice data
2013/4/27
This article proposes a spatial dynamic structural equation model for the analysis of housing prices at the State level in the USA. The study contributes to the existing literature by extending the us...
Causal Inference on Time Series using Structural Equation Models
Causal Inference Time Series Structural Equation Models
2012/9/19
Causal inference uses observations to infer the causal structure of the data generating system.We study a class of functional models that we call Time Series Models with Independent Noise (TiMINo). Th...
Half-trek criterion for generic identifiability of linear structural equation models
Covariance matrix Gaussian distribution graphical model multivariate normal distribution parameter identification
2011/9/22
Abstract: A linear structural equation model relates random variables of interest and corresponding Gaussian noise terms via a linear equation system. Each such model can be represented by a mixed gra...
Global identifiability of linear structural equation models
Covariance matrix Gaussian distribution graphical model multivari-ate normal distribution parameter identification structural equation model
2010/3/11
Structural equation models are multivariate statistical models that
are defined by specifying noisy functional relationships among random vari-
ables. We consider the classical case of linear relati...
Gaussian Process Structural Equation Models with Latent Variables
Gaussian Process Structural Equation Models Latent Variables
2010/3/11
In a variety of disciplines such as social sciences,
psychology, medicine and economics, the
recorded data are considered to be noisy measurements
of latent variables connected by some
causal stru...