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» Causal Search in Structural Vector Autoregressive Models
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JMLR
2011
187views more  JMLR 2011»
13 years 21 days ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
CVPR
2003
IEEE
14 years 7 months ago
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
Sanjiv Kumar, Martial Hebert
JMLR
2008
144views more  JMLR 2008»
13 years 5 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
JMLR
2006
113views more  JMLR 2006»
13 years 5 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
MA
2011
Springer
204views Communications» more  MA 2011»
13 years 21 days ago
Estimating structural VARMA models with uncorrelated but non-independent error terms
The asymptotic properties of the quasi-maximum likelihood estimator (QMLE) of vector autoregressive moving-average (VARMA) models are derived under the assumption that the errors ...
Y. Boubacar Mainassara, Christian Francq