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40 153 (0,141s)

Result

Robustness of MDE under adaptive nonparametric density estimates

Minimum distance estimators are considered with respect to relative efficiency and robustness. Nonparametric density estimates such as histogram and kernel density estimates are presented. Stochastically equivalent...

BB - Aplikovaná statistika, operační výzkum

  • 2013
  • D
Result

Robust Histogram Estimation Under Gaussian Noise

histogram insensitive with respect to an additive Gaussian noise in the image. The proposed quantities, although calculated from the histogram of the noisy image, represent the histogram of the original clear image. Noise ...

Computer hardware and architecture

  • 2019
  • D
  • Link
Result

An Adaptive Histogram Estimator for the Mutual Information.

Annotation not available...

BD - Teorie informace

  • 1996
  • Vx
Result

Analysis of Some New Histogram Based Estimators.

Annotation not available...

BD - Teorie informace

  • 1998
  • Vx
Result

Asymptotics for generalized piecewise linear histograms.

In a recent paper we have extended the concept of piecewise linear histogram (PLH) introduced by Beirlant, Berlinet and Gyorfi. The disadvantage of the PLH is that, in many models with probability closed to 1, it takes on negative values, th...

BB - Aplikovaná statistika, operační výzkum

  • 2002
  • Jx
Result

Asymptotics of f-divergence errors of some histogram-based density estimates

We are interested in the asymptotic properties of the Barron estimator if its error is measured by f-divergences with the true density for a general class of functions f. In quantized models leading to reduced f-divergences we prove the cons...

BA - Obecná matematika

  • 2004
  • D
Result

Estimation and Visualization of Minor File Probability by means of a Limit Average Histogram

JC - Počítačový hardware a software

  • 1995
  • X
Result

An Adaptive Histogram Estimator for the Mutual Information. (Extended Version).

Annotation not available...

BD - Teorie informace

  • 1998
  • Vx
Result

Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms

tasks by employing the probability integral transform (PIT) histogram to diagnose miscalibration. PIT histograms are often difficult to interpret, and therefore we present an approach to an automatic interpretation of PIT histo...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification

) approximates the FL by estimating its features from a limited number of random solution samples. Such ELA features help in estimating the properties of the FL and ultimately characteristics. This paper proposes using a normalized ...

Computer and information sciences

  • 2024
  • D
  • Link
  • 1 - 10 out of 40 153