Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Dawid Philip"'
Autor:
Dawid Philip
Publikováno v:
Journal of Causal Inference, Vol 12, Iss 1, Pp 20220012-77 (2024)
I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.
Externí odkaz:
https://doaj.org/article/857784d2401042879b5df7073255008e
Autor:
Dawid Philip
Publikováno v:
Journal of Causal Inference, Vol 10, Iss 1, Pp 296-299 (2022)
I thank Judea Pearl for his discussion of my paper and respond to the points he raises. In particular, his attachment to unaugmented directed acyclic graphs has led to a misapprehension of my own proposals. I also discuss the possibilities for develo
Externí odkaz:
https://doaj.org/article/4a672562872f44f9b5aa5adb4c600b9c
Autor:
Dawid Philip
Publikováno v:
Journal of Causal Inference, Vol 10, Iss 1, Pp 217-220 (2022)
I thank Ilya Shpitser for his comments on my article, and discuss the use of models with restricted interventions.
Externí odkaz:
https://doaj.org/article/f65eb6a1bdfa438cb6a6b7cbb8d9e6f1
Autor:
Dawid Philip
Publikováno v:
Journal of Causal Inference, Vol 9, Iss 1, Pp 39-77 (2021)
We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic (DT) statistical causality, which is a straightforward way of representing and addressing causal questions. DT reframes causal inference as “assisted d
Externí odkaz:
https://doaj.org/article/dfc7f667e7f64043862eb009ae58c588
Autor:
Dawid, Philip
This article surveys the variety of ways in which a directed acyclic graph (DAG) can be used to represent a problem of probabilistic causality. For each of these we describe the relevant formal or informal semantics governing that representation. It
Externí odkaz:
http://arxiv.org/abs/2402.09429
Autor:
Musio, Monica, Dawid, Philip
We consider the problem of assessing whether, in an individual case, there is a causal relationship between an observed exposure and a response variable. When data are available on similar individuals we may be able to estimate prospective probabilit
Externí odkaz:
http://arxiv.org/abs/2311.08242
Autor:
Dawid, Philip
Publikováno v:
In Handbook of Bayesian, Fiducial and Frequentist Inference, J. Berger, X-L Meng, N. Reid and M-G Xie, Eds. Boca Raton: Chapman and Hall/CRC (2024), 83-105
We conduct a review of the fiducial approach to statistical inference, following its journey from its initiation by R. A. Fisher, through various problems and criticisms, on to its general neglect, and then to its more recent resurgence. Emphasis is
Externí odkaz:
http://arxiv.org/abs/2012.10689
Suppose X and Y are binary exposure and outcome variables, and we have full knowledge of the distribution of Y, given application of X. From this we know the average causal effect of X on Y. We are now interested in assessing, for a case that was exp
Externí odkaz:
http://arxiv.org/abs/1907.00399
Autor:
Swallow, Ben, Birrell, Paul, Blake, Joshua, Burgman, Mark, Challenor, Peter, Coffeng, Luc E., Dawid, Philip, De Angelis, Daniela, Goldstein, Michael, Hemming, Victoria, Marion, Glenn, McKinley, Trevelyan J., Overton, Christopher E., Panovska-Griffiths, Jasmina, Pellis, Lorenzo, Probert, Will, Shea, Katriona, Villela, Daniel, Vernon, Ian
Publikováno v:
In Epidemics March 2022 38
Publikováno v:
Law, Probability and Risk (2017) 16, 163-179
Many legal cases require decisions about causality, responsibility or blame, and these may be based on statistical data. However, causal inferences from such data are beset by subtle conceptual and practical difficulties, and in general it is, at bes
Externí odkaz:
http://arxiv.org/abs/1706.05566