Results 241 to 250 of about 704,599 (275)
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Biometrika, 1992
Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
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Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
openaire +2 more sources
WIREs Cognitive Science, 2010
AbstractChildren use syntax to guide verb learning in a process known as syntactic bootstrapping. Recent work explores how syntactic bootstrapping works—how it begins, and how it interacts with progress in syntax acquisition. We review evidence for three claims about the mechanisms and representations underlying syntactic bootstrapping: (1) Learners ...
Cynthia, Fisher +3 more
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AbstractChildren use syntax to guide verb learning in a process known as syntactic bootstrapping. Recent work explores how syntactic bootstrapping works—how it begins, and how it interacts with progress in syntax acquisition. We review evidence for three claims about the mechanisms and representations underlying syntactic bootstrapping: (1) Learners ...
Cynthia, Fisher +3 more
openaire +2 more sources
IEEE Transactions on Automatic Control, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aronsson, M. +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aronsson, M. +4 more
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Infection Control & Hospital Epidemiology, 1994
Two questions confront data analysts: What's going on in the data? And how certain are the conclusions? One must deal with both questions to make rational decisions. John Tukey has called the two aspects of analysis exploratory and confirmatory. Consider, for example, a study in which patient data are analyzed for patterns that might identify causative
openaire +2 more sources
Two questions confront data analysts: What's going on in the data? And how certain are the conclusions? One must deal with both questions to make rational decisions. John Tukey has called the two aspects of analysis exploratory and confirmatory. Consider, for example, a study in which patient data are analyzed for patterns that might identify causative
openaire +2 more sources