Handling Missing Entries in Monitoring a Woman’s Monthly Cycle and Controlling Fertility
References
- Colombo, B., & Masarotto, G. (2000). Daily Fecundability: First Results from a New Data Base. Demographic Research, 3:5. doi: 10.4054/DemRes.2000.3.510.4054/DemRes.2000.3.5
- Cooper, G. F. (1990). The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. Artificial Intelligence, 42(2–3), 393–405.10.1016/0004-3702(90)90060-D
- Daly, R., Edwards, K. D., O’Neill, J. S., Aitken, S., Millar, A. J., & Girolami, M. (2009). Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana. In V. Kadirkamanathan, G. Sanguinetti, M. Girolami, M. Niranjan & J. Noirel (Eds.), Pattern Recognition in Bioinformatics (pp. 67–78). PRIB 2009. Lecture Notes in Computer Science: Vol. 5780. Springer, Berlin, Heidelberg.10.1007/978-3-642-04031-3_7
- Dean, T., & Kanazawa, K. (1989). A Model for Reasoning About Persistence and Causation. Computational Intelligence, 5(2), 142–150.10.1111/j.1467-8640.1989.tb00324.x
- Dunson, D. B., Sinai, I., & Colombo, B. (2001). The Relationship between Cervical Secretions and the Daily Probabilities of Pregnancy Effectiveness of the TwoDay Algorithm. Human Reproduction, 16(11), 2278–2282.10.1093/humrep/16.11.2278
- Friedman, N., Murphy, K., & Russell, S. (1998). Learning the Structure of Dynamic Probabilistic Networks. In G. F. Cooper & S. Moral (Eds.), Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence (pp. 139–147). Morgan Kaufmann Publishers.
- Ghahramani, Z. (1998). Learning Dynamic Bayesian Networks. In C. L. Giles & M. Gori (Eds.), Adaptive Processing of Sequences and Data Structures (pp. 168–197). Lecture Notes in Computer Science: Vol. 1387. Springer, Berlin, Heidelberg.10.1007/BFb0053999
- Kippley, J., & Kippley, S. (1996). The art of natural family planning (4th edition). Cincinnati: The Couple to Couple League.
- Lauritzen, S. L. (1995). The EM Algorithm for Graphical Association Models with Missing Data. Computational Statistics and Data Analysis, 19(2), 191–201.10.1016/0167-9473(93)E0056-A
- Little, R. J. A., & Rubin, D. B. (2002). Statistical Analysis with Missing Data (second edition). Chichester: Wiley.
- Łupińska-Dubicka, A, & Drużdżel, M. J. (2011). Modeling dynamic systems with memory: What is the right time-order? In The 8th Bayesian Modelling Applications Workshop (pp. 75–82). Barcelona, Spain.
- Łupińska-Dubicka, A., & Drużdżel, M. J. (2015). Modeling Dynamic Processes with Memory by Higher Order Temporal Models. In A. Hommersom & P. Lucas (Eds.), Foundations of Biomedical Knowledge Representation (pp. 219–232). Lecture Notes in Artificial Intelligence: Vol. 9521. Springer International Publishing.
- McNaught, K. R., & Zagorecki, A. (2009). Using Dynamic Bayesian Networks for Prognostic Modelling to Inform Maintenance Decision Making. In Proceedings of Industrial Engineering and Engineering Management, IEEE 2009 (pp. 1155–1159). Hong Kong, China.
- Mihajlovic, V., & Petkovic, M. (2001, October). Dynamic Bayesian Networks: A State of the Art (Technical Report No. TR-CTIT-01-34). Enschede: Centre for Telematics and Information Technology, University of Twente.
- Murphy, K. P. (2002). Dynamic Bayesian Networks: Representation, Inference and Learning (PhD Dissertation). University of California Berkeley, Computer Science Division.
- Neapolitan, R. E. (2003). Learning Bayesian Networks. Prentice Hall.
- Onisko, A., Druzdzel, M. J., & Austin, R. M. (2009). Application of Dynamic Bayesian Networks to Cervical Cancer Screening. In Proceedings on XI International Conference on Artificial Intelligence, Al-24’2009 (pp. 5–14). Siedlce, Poland: Publishing House of the University of Podlasie.
- World Health Organization (1983). A Prospective Multicentre Trial of the Ovulation Method of Natural Family Planning. III. Characteristics of the Menstrual Cycle and of the Fertile Phase. Fertility and Sterility, 40(6), 773–778.
- Pearl, J. (1986). Fusion, Propagation, and Structuring in Belief Networks. Artificial Intelligence, 29(3), 241–288.10.1016/0004-3702(86)90072-X
- Perrin, B.-E., Ralaivola, L., Mazurie, A., Bottani, S., Mallet, J., & Buc, D. F. (2003). Gene Network Inference Using Dynamic Bayesian Networks. Bioinformatics, 19(Suppl. 2), ii138–ii148.
- Potter, R. (1961). Length of the Fertile Period. Milbank Quarterly, 39, 132–162.
- Ramoni, M., & Sebastiani, P. (1999). Learning Conditional Probabilities from Incomplete Data: An Experimental Comparison. In Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics (pp. 260–265). Morgan Kaufmann, San Mateo, CA.
- Robinson, J. W., & Hartemink, A. J. (2008). Non-stationary dynamic Bayesian networks. In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.), Advances in Neural Information Processing Systems 21, NIPS 2008 (pp. 1369–1376). Curran Associates, Inc.
- Rötzer, J. (1968). Supplemented Basal Body Temperature and Regulation of Conception. Archives of Gynecology and Obstetrics, 206(2), 195–214.
- Royston, J. P. (1982). Basal Body Temperature, Ovulation and the Risk of Conception, with Special Reference to the Lifetimes of Sperm and Egg. Biometrics, 38(2), 397–406.10.2307/2530453
- Szymański, Z. (2004). Płodność i Planowanie Rodziny. Wydawnictwo Pomorskiej Akademii Medycznej.
- Weschler, T. (2006). Taking Charge of Your Fertility: The Definitive Guide to Natural Birth Control, Pregnancy Achievement, and Reproductive Health. Collins.
- Wilcox, A. J., Weinberg, C. R., & Baird, D. D. (1995). Timing of Sexual Intercourse in Relation to Ovulation. Effects on the Probability of Conception, Survival of the Pregnancy, and Sex of the Baby. New England Journal of Medicine, 333(23), 1517–1521.
- Yi, W., & Li, Z. (2011). Processing of Missing Values Using Gibbs Sampling. In Proceedings of the 2011 Third International Conference on Measuring Technology and Mechatronics Automation, Vol. 2 (pp. 927–930). Shangshai, China.
Language: English
Page range: 75 - 90
Published on: Mar 16, 2019
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