Extended Conditional Independence and Applications in Causal Inference
暂无分享,去创建一个
[1] Sufficient Covariate, Propensity Variable and Doubly Robust Estimation , 2015, 1501.07761.
[2] A. Dawid,et al. Statistical Causality from a Decision-Theoretic Perspective , 2014, 1405.2292.
[3] A. Dawid,et al. A Formal Treatment of Sequential Ignorability , 2013, Statistics in biosciences.
[4] J. Norris. Appendix: probability and measure , 1997 .
[5] V. Didelez,et al. Assessing dynamic treatment strategies , 2012 .
[6] P. Dawid. The Decision‐Theoretic Approach to Causal Inference , 2012 .
[7] A. Dawid,et al. Defining and Identifying the Effect of Treatment on the Treated , 2011 .
[8] D. Basu. Recovery of Ancillary Information , 2011 .
[9] A. Philip Dawid,et al. Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview , 2010, ArXiv.
[10] Hui Guo,et al. Sufficient covariates and linear propensity analysis , 2010, AISTATS.
[11] Malay Ghosh,et al. ANCILLARY STATISTICS: A REVIEW , 2010 .
[12] David J. Spiegelhalter,et al. Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks , 1999, Information Science and Statistics.
[13] A. Philip Dawid,et al. Direct and Indirect Effects of Sequential Treatments , 2006, UAI.
[14] A. Philip Dawid,et al. Separoids: A Mathematical Framework for Conditional Independence and Irrelevance , 2001, Annals of Mathematics and Artificial Intelligence.
[15] Ap Dawid,et al. Causal inference using influence diagrams: The problem of partial compliance (with Discussion) , 2003 .
[16] A. Dawid. Influence Diagrams for Causal Modelling and Inference , 2002 .
[17] A. Philip Dawid,et al. Some variations on variation independence , 2001, AISTATS.
[18] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[19] S. Resnick. A Probability Path , 1999 .
[20] Milan Studený,et al. Conditional products: An alternative approach to conditional independence , 1999, AISTATS.
[21] A. Dawid,et al. Forensic identification with imperfect evidence , 1998 .
[22] A. Dawid. Conditional Independence , 1997 .
[23] A. P. Dawid,et al. Coherent Analysis of Forensic Identification Evidence , 1996 .
[24] Wolfgang Spohn,et al. On the Properties of Conditional Independence , 1994 .
[25] A. Dawid,et al. Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models , 1993 .
[26] H. Kyburg. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference by Judea Pearl , 1991 .
[27] R. Durrett. Probability: Theory and Examples , 1993 .
[28] Steffen L. Lauritzen,et al. Independence properties of directed markov fields , 1990, Networks.
[29] Dan Geiger,et al. Identifying independence in bayesian networks , 1990, Networks.
[30] G. Casella,et al. Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.
[31] A. P. Dawid,et al. Independence properties of directed Markov fields. Networks, 20, 491-505 , 1990 .
[32] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[33] J. Robins. Addendum to “a new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect” , 1987 .
[34] Judea Pearl,et al. GRAPHOIDS: Graph-Based Logic for Reasoning about Relevance Relations OrWhen Would x Tell You More about y If You Already Know z? , 1986, ECAI.
[35] J. Robins. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect , 1986 .
[36] A. Dawid,et al. Invariance and independence in multivariate distribution theory , 1985 .
[37] A. Dawid. Conditional Independence for Statistical Operations , 1980 .
[38] A. Dawid. A Bayesian look at nuisance parameters , 1980 .
[39] O. Barndorff-Nielsen. Information and Exponential Families in Statistical Theory , 1980 .
[40] A. Dawid. Conditional Independence in Statistical Theory , 1979 .
[41] A. Dawid. Some Misleading Arguments Involving Conditional Independence , 1979 .
[42] A. P. Dawid,et al. Likelihood and Bayesian Inference from Selectively Reported Data , 1977 .
[43] A P Dawid,et al. Properties of diagnostic data distributions. , 1976, Biometrics.
[44] A. Dawid. On the Concepts of Sufficiency and Ancillarity in the Presence of Nuisance Parameters , 1975 .
[45] L. J. Savage,et al. Application of the Radon-Nikodym Theorem to the Theory of Sufficient Statistics , 1949 .
[46] Rory A. Fisher,et al. Theory of Statistical Estimation , 1925, Mathematical Proceedings of the Cambridge Philosophical Society.