Results 261 to 270 of about 66,452 (307)

THE ROLE OF CONDITIONAL INFERENCE

Australian Journal of Statistics, 1988
summaryThe fact that unconditional sampling theoretic inference is sometimes misleading is illustrated with some examples. Each of these examples involves a sequential sampling procedure and it is suggested here that meaningful inferences can be obtained in these examples by viewing the sequential components of the experiment as though they are ...
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Inference of helicopter airframe condition

2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2013
The goal of this paper is to model normal airframe conditions for helicopters in order to detect changes. This is done by inferring the flying state using a selection of sensors and frequency bands that are best for discriminating between different states. We used non-linear state-space models (NLSSM) for modelling flight conditions based on short-time
Waljinder S. Gill, Ian T. Nabney, Daniel Wells   +2 more
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Conditional inference for predictive agreement

Statistics in Medicine, 1999
We introduce the concept, and a measure of predictive agreement, tau, for two raters classifying items into q categories. The measure is based on the linear combination of log odds ratios from 2 x 2 subtables of a q x q cross-classification table. We show that analysis procedures for this measure, and transforms of it, can be based on conditional ...
V T, Farewell, D A, Sprott
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Conditional Inference is not Inefficient

1977
A paper of Welch (1939) is often referred to as demonstrating the inefficiency of conditional confidence intervals. It is the object of this note to show that such a notion arises from a misunderstanding.
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Algorithms for approximate conditional inference

Statistics and Computing, 2003
This paper presents a method for listing the sample space for a conditional distribution in a discrete generalized linear model. This tabulation is used in conjunction with saddlepoint methods to approximate the associated conditional probabilities. These probabilities are used to calculate conditional p-values.
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Plausible inference for default conditionals

2005
This paper presents a monotonic core logic for default conditionals and \u000Ainvestigates possible nonmonotonic extensions. First, we introduce a possible \u000Aworlds semantics characterizing HRC0, a strong logic for non‐nested normal \u000Aimplication.
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Racing for Conditional Independence Inference

2005
In this article, we consider the computational aspects of deciding whether a conditional independence statement t is implied by a list of conditional independence statements L using the implication related to the method of structural imsets. We present two methods which have the interesting complementary properties that one method performs well to ...
Remco R. Bouckaert, Milan Studený
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ON THE IMPLEMENTATION OF APPROXIMATE CONDITIONAL INFERENCE [PDF]

, 1999
The extension of exact conditional inference to include so-called approximate conditional methods has rapidly developed in the last two decades. However, these methods are still under-used in practice, the main problem being the lack of suitable software. Several attempts have been made to implement the methods, using either computer algebra systems or
Ruggero Bellio, BRAZZALE, ALESSANDRA ROSALBA   +1 more
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Drawing Inferences from Conditionals

1997
This paper compares three accounts of what can be inferred from a knowledge base that contains conditionals: Lehmann and Magidor’s Rational Entailment; Pearl’s System Z, later extended and refined in collaboration with Goldszmidt; and the present author’s Nonmonotonic conditional logic for belief revision.
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Inference and Conditional Knowledge

Dialogue, 1981
It is often said that knowledge is justified true belief. But when is a belief justified? Again, it is often said, that belief is justified when it is entailed by something I know. As a definition of knowledge, this account is circular and generates a regress. So much then for justified true belief. Still, knowledge must certainly be true and believed,
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