Proceedings of the 2003 American Medical Informatics Association Annual Symposium

brewerobstructionΤεχνίτη Νοημοσύνη και Ρομποτική

7 Νοε 2013 (πριν από 3 χρόνια και 9 μήνες)

70 εμφανίσεις

Aliferis, C. F., Tsamardinos, I., & Statnikov, A. (2003). HITON: A Novel Markov
Blanket Algorithm for Optimal Variable Selection. In
Proceedings of the 2003
American Medical Informatics Association Annual Symposium

(pp. 21
-
25).
Washington, DC:.

Andersson, S. A., Madigan, D., & Perlman, M. D. (1997). A characterization of Markov
equivalence classes for acyclic digraphs.
Ann Stat
,
25
(2), 505
-
541.

Arntzenius, F. (1997). Transition Chances and Causation.
Pacific Philosophical
Quarterly
.

Arntzenius,
F. (1993). The common cause principle”,.
Philosophy of Science Association
,
2
, 227

237.

Bessler, David A. and N. Loper. (2001) “Economic Development: Evidence from
Directed Acyclical Graphs”
Manchester School

69(4), 457
-
476.

Chickering, D. M. (2002). Optim
al Structure Identification with Greedy Search.
Journal
of Machine Learning Research
,
3
, 507
-
554.

Chu, Tianjaio, Glymour C., Scheines, R., & Spirtes, P, (2002). A Statistical Problem for
Inference to Regulatory Structure from Associations of Gene Expressi
on
Measurement with Microarrays.
Bioinformatics
, 19: 1147
-
1152.

Demiralp, Sel
va and Kevin D. Hoover. (2003)
Searching for the Causal Structure of a
Vector Autoregression,"
Oxford Bulletin of Economics and Statistics

65(supplement), pp. 745
-
767

Demiralp, S.
, Hoover, K., & Perez, S. A Bootstrap Method for Identifying and
Evaluating a Structural Vector Autoregression
Oxford Bulletin of Economics and
Statistics
, 2008, 70, (4), 509
-
533

Eberhardt, F., and Scheines R., (2007).“Interventions and Causal Inference”,

in PSA
-
2006,
Proceedings of the 20th biennial meeting of the Philosophy of Science
Associatio
n 2006

Glymour
, C.,

and G. Cooper

(editors)

(1999).
Computation, Causation, & Discovery
,
MIT Press

Haigh, M.S., N.K. Nomikos, and D.A. Bessler

(2004) “Integration and Causality in
International Freight Markets: Modeling with Error Correction and Directed
Acyclical Graphs,”
Southern Economic Journal
71(1), 145
-
162.

Harwood, S., & Scheines, R. (2002). Genetic algorithm search over causal models.
p
hil.cmu.edu
.

Hoyer, P. O., Janzing, D., Mooij, J. M., Peters, J., & Scholkopf, B. (2009).
Nonlinear
causal discovery with additive noise models
. Proceedings from Advances in Neural
Information Processing Systems 21.

Hoyer, P. O., Hyvärinen, A., Scheines,

R., Spirtes, P., Ramsey, J., Lacerda, G. et al.
(2008).
Causal discovery of linear acyclic models with arbitrary distributions
.
Proceedings from Proceedings of the Twentyfourth Annual Conference on
Uncertainty in Artificial Intelligence.

Hyvärinen, A., K
arhunen, J., & Oja, E. (2001).
Independent Component Analysis

(1 ed.).
Wiley
-
Interscience.

Jackson, A., and Scheines, R., (2005). Single Mothers' Self
-
Efficacy, Parenting in the
Home Environment, and Children's Development in a Two
-
Wave Study,
Social
Work
Research

, 29, 1, pp. 7
-
20.


Lacerda, G., Spirtes, P., Ramsey, J., & Hoyer, P. O. (2008).
Discovering Cyclic Causal
Models by Independent Component Analysis
. Proceedings from Conference on
Uncertainty In Artificial Intelligence.

Lauritzen, S. L., Dawid, A. P., Larsen, B. N., & Leimer, H. G. (1990). Independence
properties of directed Markov fields.
Networks
,
20
, 491
-
505.

Moneta,
A.,
and P. Spirtes “Graphical Models for the Identification of Causal Structures
in Multivariate Time S
eries Model”,
Proceedings of the 2006 Joint Conference on
Information Sciences
, JCIS 2006, Kaohsiung, Taiwan, ROC, October 8
-
11,2006,
Atlantis Press, 2006.

Pearl, J. (1988).
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible
Inference.

Morgan Kaufmann.

Ramsey, J., Spirtes, P., & Zhang, J. (2006).
Adjacency
-
Faithfulness and Conservative
Causal Inference
. Proceedings from 22nd Conference on Uncertainty in Artificial
Intelligence, Cambridge, MA.

Scheines
, R. (2000). Estimating Latent Causal Influences: TETRAD III Variable
Selection and Bayesian Parameter Estimation: the effect of Lead on IQ,
Handbook
of Data Mining
, Pat Hayes, editor, Oxford University Press

Shimizu, S., Hoyer, P. O., Hyvärinen, A., & Ke
rminen, A. (2006). A Linear Non
-
Gaussian Acyclic Model for Causal Discovery.
Journal of Machine Learning
Research
,
7
, 2003
-
2030.

Shipley, B. Exploring hypothesis space: examples from organismal biology.
Computation, Causation and Discovery
. C. Glymour and
G. Cooper. Cambridge,
MA, MIT Press

Silva, R., Scheines, R., Glymour, C., & Spirtes, P. (2006). Learning the structure of linear
latent variable models.
J Mach Learn Res
,
7
, 191
-
246.

Spirtes, P., Meek, C., & Richardson, T. S. (1995).
Causal inference in t
he presence of
latent variables and selection bias
. Proceedings from Eleventh Conference on
Uncertainty in Artificial Intelligence, San Francisco, CA.

Spirtes, P., Scheines, R., & Glymour, C. (1990). Simulation Studies of the Reliability of
Computer
-
Aided
Model Specification Using the TETRAD II, EQS and LISREL VI
Programs.
Sociological Methods & Research,

3
-
66.

Spirtes, P., G
lymour, C., & Scheines, R. (2000
).
Causation, Prediction, and Search,
Second Edition (Adaptive Computation and Machine Learning).

The
MIT Press.

Swanson, Norman R. and Clive W.J. Granger. (1997). ‘Impulse response functions based
on a causal approach to residual orthogonalization in vector autoregressions’,
Journal of the American Statistical Association
, Vol. 92, pp. 357
-
67.


Tillman, R
., & Spirtes, P. (2009).
Nonparametric structure learning with RKHS
conditional independence and additive noise
. Proceedings from Advances in Neural
Processing Information Systems 22, Vancouver, BC.

Timberlake, M. and Williams, K. (1984). Dependence, polit
ical exclusion, and
government repression: Some cross
-
national evidence.
American Sociological
Review

49, 141
-
146

Verma, T. S., & Pearl, J. (1990). Equivalence and Synthesis of Causal Models. In P.
Bonissone, M. Henrion, L. Kanal, & J. Lemmer (Eds.),
Proc
eedings of the 6th
Conference on Uncertainty in Artificial Intelligence

(pp. 220
-
227).

Ye, S.

, Cai, H., & Sun, R.


(2008).
An Algorithm for Bayesian Networks Structure
Learning Based on Simulated Annealing with MDL Restriction
. Proceedings from
Proceedi
ng ICNC '08 Proceedings of the 2008 Fourth International Conference on
Natural Computation.

Zhang, J., & Spirtes, P. (2007). Detection of Unfaithfulness and Robust Causal Inference.
philsci
-
archive.pitt.edu
.

Zhang, J., & Spirtes, P. (2011). Intervention,

Determinism, and the Causal Minimality
Condition.
Synthese
,
182
(13), 335
-
347.

Zhang, J., & Spirtes, P. (2008). Detection of Unfaithfulness and Robust Causal Inference.
Minds and Machines
,
18
(2), 239
-
271.

Zhang, J., & Spirtes, P. (2003). Strong Faithfulnes
s and Uniform Consistency in Causal
Inference. In
Proceedings of the 19th Annual Conference on Uncertainty in
Artificial Intelligence

(pp. 632
-
639). San Francisco, CA: Morgan Kaufmann.