Add to ORKGWe thank the Comment's authors for their considered critique of our paper. We respond to their main criticisms and hope that this discussion motivates further consideration of communication strategies for event attribution analyses
The explanation of the suppression of Modus Ponens inferences within the framework of linguistic pra...
Given the prevalence of statistical techniques that use probability to quantify uncertainty, the aim...
In his comment on our paper, John H. Herbert brings out an important issue: [N]o one (except KSS, as...
Abstract We thank the Comment's authors for their considered critique of our paper. We respond to th...
Abstract In a recent issue of Earth's Future (vol. 7, pp. 1020–1026), S. C. Lewis et al. (2019, http...
International audienceDo individuals unfamiliar with probability and statistics need a specific type...
On November 23, 2021, Dr. David Mandel presented Communicating Uncertainty in Warning Intelligence a...
Across a wide range of domains, experts make probabilistic judgments under conditions of uncertainty...
Difficulties in interpreting probabilities can impede the progress of risk analyses and impair the c...
notoriously difficult for laypeople to solve using base rates, hit rates, and false-alarm rates, bec...
Life in an increasingly information-rich but highly uncertain world calls for an effective means of ...
Intelligence analysis is fundamentally an exercise in expert judgment made under conditions of uncer...
Abstract. Reasoning within such domains as engineering, science, management, or medicine is traditio...
Crupi et al. ([2008]) propose a generalization of Bayesian confirmation theory that they claim to ad...
Experts' and laypeople's reasoning in Bayesian-type problems can be improved by representing informa...
The explanation of the suppression of Modus Ponens inferences within the framework of linguistic pra...
Given the prevalence of statistical techniques that use probability to quantify uncertainty, the aim...
In his comment on our paper, John H. Herbert brings out an important issue: [N]o one (except KSS, as...
Abstract We thank the Comment's authors for their considered critique of our paper. We respond to th...
Abstract In a recent issue of Earth's Future (vol. 7, pp. 1020–1026), S. C. Lewis et al. (2019, http...
International audienceDo individuals unfamiliar with probability and statistics need a specific type...
On November 23, 2021, Dr. David Mandel presented Communicating Uncertainty in Warning Intelligence a...
Across a wide range of domains, experts make probabilistic judgments under conditions of uncertainty...
Difficulties in interpreting probabilities can impede the progress of risk analyses and impair the c...
notoriously difficult for laypeople to solve using base rates, hit rates, and false-alarm rates, bec...
Life in an increasingly information-rich but highly uncertain world calls for an effective means of ...
Intelligence analysis is fundamentally an exercise in expert judgment made under conditions of uncer...
Abstract. Reasoning within such domains as engineering, science, management, or medicine is traditio...
Crupi et al. ([2008]) propose a generalization of Bayesian confirmation theory that they claim to ad...
Experts' and laypeople's reasoning in Bayesian-type problems can be improved by representing informa...
The explanation of the suppression of Modus Ponens inferences within the framework of linguistic pra...
Given the prevalence of statistical techniques that use probability to quantify uncertainty, the aim...
In his comment on our paper, John H. Herbert brings out an important issue: [N]o one (except KSS, as...