Results 1 to 10 of about 169 (169)
Uncertain Identification [PDF]
SSRN Electronic Journal, 2017 Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical practice. This paper considers uncertainty over models that impose different identifying assumptions, which can lead to a mix of point‐ and set‐identified models.
Raffaella Giacomini +2 more
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Trends in Cognitive Sciences, 1998 Everyday experience involves the continuous integration of information from multiple sensory inputs. Such crossmodal interactions are advantageous since the combined action of different sensory cues can provide information unavailable from their individual operation, reducing perceptual ambiguity and enhancing responsiveness.
Calvert, G, Brammer, M, Iversen, S
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Identification of probabilities [PDF]
Journal of Mathematical Psychology, 2017 Within psychology, neuroscience and artificial intelligence, there has been increasing interest in the proposal that the brain builds probabilistic models of sensory and linguistic input: that is, to infer a probabilistic model from a sample.
Vitányi, Paul M.B., Chater, Nick
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Forgiveness and Identification [PDF]
Philosophia, 2016 Philosophical discussion of forgiveness has mainly focused on cases in which victims and offenders are known to each other. But it commonly happens that a victim brings an offender under a definite description (e.g. 'the boy who kicked his football through my window') but does not know to which individual this applies.
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Discrete Applied Mathematics, 2014 We present an algorithm for detecting long similar fragments occurring at least twice in a set of biological sequences. The problem becomes computationally challenging when the frequency of a repeat is allowed to increase and when a non-negligible number of insertions, deletions and substitutions are allowed.
Federico, Maria +3 more
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COMPLEMENTARITY AND IDENTIFICATION [PDF]
Econometric Theory, 2016 This paper examines the identification power of assumptions that formalize the notion of complementarity in the context of a nonparametric bounds analysis of treatment response. I extend the literature on partial identification via shape restrictions by exploiting cross-dimensional restrictions on treatment response when treatments are multidimensional;
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