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Local independence

Local independence is the underlying assumption of latent variable models.The observed items are conditionally independent of each other given an… 
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Related topics

Related topics

4 relations
Item response theoryLatent class modelLatent variableLatent variable model

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
A Bayesian Beta-Mixture Model for Nonparametric IRT (BBM-IRT)
Item response models typically assume that the item characteristic (step) curves follow a logistic or normal cumulative… 
2013
2013
Minimum Discrepancy Estimation in Probabilistic Knowledge Structures
2012
2012
On the unidentifiability of a certain class of skill multi map based probabilistic knowledge structures
2009
2009
Duty cycle tolerant binary gratings for fabricable short period phase masks
Wavelength scale 1D binary gratings of rectangular corrugation profile are often used as diffractive elements acting on incident… 
2001
2001
A Bayesian Multiresolution Independence Test for Continuous Variables
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous… 
2001
2001
Sufficiency, Separability and Temporal Probabilistic Models
Suppose we are given the conditional probability of one variable given some other variables. Normally the full joint distribution… 
1996
1996
Assembling tests for the measurement of multiple traits.
For the measurement of multiple traits, this paper pro poses assembling tests based on the targets for the (as ymptotic) variance… 
1995
1995
Library strategic alliances and the digital library in the 1990s: The OhioLINK experience
Highly Cited
1992
Highly Cited
1992
Poverty and policy in Tudor and Stuart England
1987
1987
The Robustness of LOGIST and BILOG IRT Estimation Programs to Violations of Local Independence.
One of the important underlying assumptions of all item response theory models is that of local independence. This assumption… 
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