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0111 · Jun 201819922001200920172026
4 results for resampling-free

A new particle filter avoids resampling to improve state estimation in high dimensions.

problem Particle deprivation in high-dimensional state spaces.
method A resampling-free particle filter designed to mitigate particle deprivation.
result The filter offers a near-accurate representation of the posterior distribution in high-dimensional contexts.

MULTIFIT tests independence between two random vectors using multiscale Fisher's test.

problem Detecting local dependence between two random vectors.
method MULTIFIT uses a resampling-free approach to test independence.
result MULTIFIT can easily handle large sample sizes and interpret dependency nature.

Identifying dependency in multivariate data is a common inference task that arises in numerous applications. However, existing nonparametric independence tests typically require computation that scales at least quadratically with the sample size, making it difficult to apply them to massive data. Moreover, resampling i…

2018-06-18abs ↗pdf ↗