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نمایش تعداد 1-10 از 218
Density estimates of low bias
ناشر: Springer
سال: 2013
Nonparametric ridge estimation
ناشر: The Institute of Mathematical Statistics
سال: 2014
Confidence sets for persistence diagrams
ناشر: The Institute of Mathematical Statistics
سال: 2014
nonparametric Estimation of Partial Derivatives of a Multivariate Probability
سال: 2009
خلاصه:
are strongly mixing with exponential mixing
coefficients. The problem of density estimation from dependent samples is often
considered. For instance quadratic losses were considered by several authors . We
investigate the variance...
Multivariate density estimation under sup norm loss: Oracle approach, adaptation and independence structure
ناشر: The Institute of Mathematical Statistics
سال: 2013
A semiparametric approach to source separation using independent component analysis
ناشر: Elsevier Science
سال: 2013
Ensemble Gaussian mixture models for probability density estimation
ناشر: Springer-Verlag
سال: 2013
Nonparametric density estimation based on the truncated mean
ناشر: Elsevier Science
سال: 2013
Bias and bandwidth for local likelihood density estimation
ناشر: Elsevier Science
سال: 2013