Peter Spirtes

2008
19	EE	Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph Ramsey, Gustavo Lacerda, Shohei Shimizu: Causal discovery of linear acyclic models with arbitrary distributions. UAI 2008: 282-289
18	EE	Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Patrik O. Hoyer: Discovering Cyclic Causal Models by Independent Components Analysis. UAI 2008: 366-374
17	EE	Xue Bai, Rema Padman, Joseph Ramsey, Peter Spirtes: Tabu Search-Enhanced Graphical Models for Classification in High Dimensions. INFORMS Journal on Computing 20(3): 423-437 (2008)
2006
16	EE	Alessio Moneta, Peter Spirtes: Graphical Models for the Identification of Causal Structures in Multivariate Time Series Models. JCIS 2006
15	EE	Subramani Mani, Gregory F. Cooper, Peter Spirtes: A Theoretical Study of Y Structures for Causal Discovery. UAI 2006
14	EE	Joseph Ramsey, Jiji Zhang, Peter Spirtes: Adjacency-Faithfulness and Conservative Causal Inference. UAI 2006
13	EE	Ricardo Silva, Richard Scheines, Clark Glymour, Peter Spirtes: Learning the Structure of Linear Latent Variable Models. Journal of Machine Learning Research 7: 191-246 (2006)
2005
12	EE	Ayesha R. Ali, Thomas Richardson, Peter Spirtes, Jiji Zhang: Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. UAI 2005: 10-17
11	EE	Jiji Zhang, Peter Spirtes: A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables. UAI 2005: 667-674
2003
10		Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes: Learning Measurement Models for Unobserved Variables. UAI 2003: 543-550
9		Jiji Zhang, Peter Spirtes: Strong Faithfulness and Uniform Consistency in Causal Inference. UAI 2003: 632-639
8		Tianjiao Chu, Clark Glymour, Richard Scheines, Peter Spirtes: A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays. Bioinformatics 19(9): 1147-1152 (2003)
2002
7		Joseph Ramsey, Paul Gazis, Ted Roush, Peter Spirtes, Clark Glymour: Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition. Data Min. Knowl. Discov. 6(3): 277-293 (2002)
2001
6	EE	Tianjiao Chu, Richard Scheines, Peter Spirtes: Semi-Instrumental Variables: A Test for Instrument Admissibility. UAI 2001: 83-90
1997
5		Gregory F. Cooper, Constantin F. Aliferis, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)
1995
4		Peter Spirtes, Christopher Meek: Learning Bayesian Networks with Discrete Variables from Data. KDD 1995: 294-299
3	EE	Peter Spirtes: Directed Cyclic Graphical Representations of Feedback Models. UAI 1995: 491-498
2	EE	Peter Spirtes, Christopher Meek, Thomas Richardson: Causal Inference in the Presence of Latent Variables and Selection Bias. UAI 1995: 499-506
1991
1	EE	Peter Spirtes: Detecting Causal Relations in the Presence of Unmeasured Variables. UAI 1991: 392-397

Coauthor Index

1	Ayesha R. Ali	[12]
2	Constantin F. Aliferis	[5]
3	R. Ambrosino	[5]
4	John M. Aronis	[5]
5	Xue Bai	[17]
6	Bruce G. Buchanan	[5]
7	Rich Caruana	[5]
8	Tianjiao Chu	[6] [8]
9	Gregory F. Cooper	[5] [15]
10	Michael J. Fine	[5]
11	Paul Gazis	[7]
12	Clark Glymour	[5] [7] [8] [10] [13]
13	G. Gordon	[5]
14	B. H. Hanusa	[5]
15	Patrik O. Hoyer	[18] [19]
16	Aapo Hyvärinen	[19]
17	Janine E. Janosky	[5]
18	Gustavo Lacerda	[18] [19]
19	Subramani Mani	[15]
20	Christopher Meek	[2] [4] [5]
21	Tom M. Mitchell	[5]
22	Alessio Moneta	[16]
23	Rema Padman	[17]
24	Joseph Ramsey	[7] [14] [17] [18] [19]
25	Thomas Richardson	[2] [5] [12]
26	Ted Roush	[7]
27	Richard Scheines	[6] [8] [10] [13] [19]
28	Shohei Shimizu	[19]
29	Ricardo Silva	[13]
30	Ricardo Bezerra de Andrade e Silva	[10]
31	Jiji Zhang	[9] [11] [12] [14]

Colors in the list of coauthors