A New Inferential Test for Path Models Based on Directed Acyclic Graphs

By Bill Shipley. 2000

424 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/23e529d073a66c314f19900e5e1e7fc510453812

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In Artificial Intelligence

In Management Science and Operations Research

Citations in the corpus

Indirect effects of habitat loss via habitat fragmentation: A cross-taxa analysis of forest-dependent species (2020, methodology): “The global fit of each structural equation model was evaluated with Fisher's C statistic, which is adequate for mixed-effect models (Shipley, 2000, 2009).”
piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics (2015, background): “In simplest terms, conditional independence implies that there are no missing relationships among unconnected variables (Shipley 2000a).”
Guidelines for a graph-theoretic implementation of structural equation modeling (2012, methodology): “Many of these ideas have yet to be incorporated into general SEM practice, though a few have (Shipley 2000 b , 2003, 2009).”
Spatially explicit structural equation modeling (2014, methodology): “An alternative approach that could be used to test the spatial causal hypotheses in the path diagram for each lag distance bin is the dseparation (d-sep) test (Shipley 2000a, b, 2012).”
Functional linkages between leaf traits and net photosynthetic rate: reconciling empirical and mechanistic models (2005, background): “These constraints, which follow necessarily from the topology of the direct and indirect links that form the hypothesized causal network, can be tested statistically irrespective of the functional form or the distribution of each variable (Shipley 2000a, 2000b, 2003).”
Soil microbial community structure and diversity are largely influenced by soil pH and nutrient quality in 78-year-old tree plantations (2017, background): “These coefficients indicate by how many standard deviations the effect variable would change if the causal variable was changed by one standard deviation (Shipley, 2000).”
Correlation and Causation in the Study of Personality (2012, background): “Thus, to test a given DAG, we simply list the point predictions implied by a causal model and examine each one for its numerical closeness to the actual data (Shipley, 2000).”