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This paper presents new characterizations of decomposable models in terms of independence relationships, which are obtained by adding a single axiom to the well-known set characterizing dependency models ... Decomposable dependency models possess a number of interesting and useful properties. ... I am particularly grateful to the reviewer who pointed out to me the existence of Lauritzen's characterization of chordal graphs. ...doi:10.1613/jair.329 fatcat:obru4xr3zjd6raer7idivw73uu
This paper presents new characterizations of decomposable models in terms of independence relationships, which are obtained by adding a single axiom to the well-known set characterizing dependency models ... Decomposable dependency models possess a number of interesting and useful properties. ... I am particularly grateful to the reviewer who pointed out to me the existence of Lauritzen's characterization of chordal graphs. ...arXiv:cs/9612103v1 fatcat:6cqxwtbijvcarjvrcyljw6hf54
On the basis of two characterizations of decomposable models in terms of independence relationships, we develop an exact algorithm for recovering the chordal graphical representation of any given decomposable ... Decomposable dependency models and their graphical counterparts, i.e., chordal graphs, possess a number of interesting and useful properties. ... CHARACTERIZATIONS OF DECOMPOSABLE MODELS Recently, two characterizations of decomposable mod els (or equivalently, of chordal graphs) have been es tablished (de Campos 1996) . ...arXiv:1302.1524v1 fatcat:d3mczewzejdo5g2lxruf4bmuye
For a class of Bardeen-Cooper-Schrieffer (BCS)-models, with complex, weakly momentum dependent interaction coefficients, the representation dependent effective Hamiltonians and their spectra are reconsidered ... The decomposing orthogonal measure is transferred to the infinite product space of quasi-particle occupation numbers and its support is characterized in terms of 0-1-laws leading to an asymptotic ratio ... The decomposing orthogonal measure is transferred to the infinite product space of quasi-particle occupation numbers and its support is characterized in terms of 0-1-laws leading to an asymptotic ratio ...doi:10.1515/zna-2005-0506 fatcat:pqc6v4xmcfa5jaa6srairhncsi
As a consequence each decomposable model can be interpreted either in terms of interdependencies only or as a particular kind of dependence structure, as a recursive system or path analysis model. ... Each model is fully characterized by a set of conditional independence restrictions, and can be visualized with an undirected as well as a special type of a directed graph. ... characterize non-decomposable models. ...doi:10.1207/s15327906mbr1804_2 pmid:26781727 fatcat:mjsxlqh6kjcglp7rdbwbv5uahq
We exploit performance function decomposability to address the combinatorial explosion challenge. ... We present a new approach to estimate speed, area, and power of a parameterizable, soft IP. ... Furthermore, the component function that depends only on technology dependent variables is decomposed using operator % into a set of functions, each of which depends only on one variable. ...doi:10.1145/378239.378259 dblp:conf/dac/SanghaviW01 fatcat:ta2cda4ezbhthhj6fjrzvoqvdm
An extended version of the discrete self-decomposability is defined and related characterizations of the geometric and negative binomial distributions are obtained. ... Beta type self-decomposability and related characterizations. (English summary) Braz. J. Probab. Stat. 14 (2000), no. 2, 123-140. ...
2011 IEEE Statistical Signal Processing Workshop (SSP)
Here, we propose to combine a wavelet decomposition and a graphical Gaussian model approach relying on decomposable graphs. ... This paper deals with the analysis of brain functional network using fMRI data. It recapitulates the concept of decomposable connectivity graph. ... attempt to model and characterize brain functional connectivity networks. ...doi:10.1109/ssp.2011.5967830 fatcat:m54rikn6kfbflemhobqlte4tda
A recent trend in the literature has been to characterize healthcare activities in terms of complex systems theory. ... We also describe, with relevant caveats, how complex healthcare systems are generally decomposable, rendering them more tractable for further study. ... We would like to thank Joanna Abraham for her thoughtful comments on earlier versions of this paper. ...doi:10.1016/j.jbi.2011.06.006 pmid:21763459 fatcat:4wworv5ofngo5gro6bvvqjeoce
Continuously-harvested systems sustain N harvest at steady-state under net mineralization conditions, which depends on the C:N ratio and respiration rate of decomposers. ... We analyze these dynamics and characterize the impact of biomass harvest and N fertilization on soil biogeochemistry and ecosystem yield with an ecosystem model of intermediate complexity that couples ... We acknowledge the thoughtful comments of two anonymous reviewers. ...doi:10.1016/j.ecolmodel.2016.03.003 fatcat:ffqygoz6sraktm453tl3ztp4zq
This paper proposes a novel representation of decomposable graphs based on semi-latent tree-dependent bipartite graphs. The novel representation has two main benefits. ... The proposed sampler also benefits from the computational efficiency of junction-tree-based samplers of decomposable graphs. ... This work is also focused on decomposable structures, where we propose an alternative characterization of decomposable graphs based on bipartite graphs. ...arXiv:1712.01231v1 fatcat:zb4st5hb3nh5bllnbdvtvv4vau
The Journal of Ecology
For each plot, we characterized the macroclimate using field data and a terrain model. Micro- climate variables were extracted from remote-sensing and ground surveys. ... Decomposers are respon- tain groups of these organisms. ...
The authors then characterize the unique eigen- value A of nonpositive type in C+ UR of A by means of this canoni- cal model. ... For a special family As of such operators they also con- sider the dependence of the eigenvalue \ on the parameter 6. ...
We present here a more efficient yet simpler algorithm for the basic model, as well as very efficient algorithms for the conditional model, which until now was not investigated under the umbrella of decomposable ... Additionally, we provide an algorithm for the conditional model that handles a much larger class of properties. ... A property C of distributions is L-decomposable if every distribution µ ∈ C is L-decomposable (L is allowed to depend on n). ...doi:10.1007/s00453-019-00598-1 fatcat:oonydsur4rh3tgqvvwpzmivrby
Rather than using the terms causation or transformation, we feel that a more apt description is decomposition, seeing as the multiplicative models decompose the data as a product of parameters. ... A final statement on attempts to introduce nonstationarity is that most of the effort has been on characterizing change rather than forecasting future matrices. ...
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