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247 534 (0,281s)

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Mixture failure rate: A study based on cross-entropy and MCMC method

Chain Monte Carlo (MCMC) method and maximum likelihood estimation via cross-entropy method for parameter estimation, MCMC has recently emerged as a good alternative. The most popular MCMC method, called t...

Statistics and probability

  • 2017
  • D
  • Link
Result

Estimations based on cross-entropy

The minimization of the sampling equivalent of the cross-entropy leads to maximal likelihood estimations. This work concerns about different kinds of estimations with pre-defined constraints and investigates the discrete distributio...

BB - Aplikovaná statistika, operační výzkum

  • 2007
  • D
Result

Cross-Entropy Method for Laser Defense Applications

WTA problem is solved by a Cross-Entropy (CE) method in number of realistic air...

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

  • 2025
  • Jimp
  • Link
Result

Disaggregating input-output tables by the multidimensional RAS method: a case study of the Czech Republic

Main topics of the document: input-Output Analysis; disaggregation of input-output tables; RAS method; cross-entropy model......

Statistics and probability

  • 2023
  • Jimp
  • Link
Result

Semantic Space Transformations for Cross-Lingual Document Classification

with a standard maximum entropy classifier. The proposed methods are evaluated on fourThis paper deals with cross-lingual document classification. Cross-linguality is achieved by training monolingual semantic spac...

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

  • 2018
  • D
  • Link
Result

Hamiltonian Monte Carlo Method for Parameter estimation of the Additive Weibull distribution

. In this study, we exploit the Hamiltonian Monte Carlo and cross-entropy methods in order to reinforce and strengthen the traditional methods of statistical estimation. Our results show the superiority of the reco...

Statistics and probability

  • 2019
  • D
  • Link
Result

Non-linear failure rate: A Bayes study using Hamiltonian Monte Carlo simulation

A non-linear failure ratemodel is introduced, analyzed, and applied to real data sets for both censored and uncensored data. The Hamiltonian Monte Carlo and cross-entropy methods have been exploited to empower the tradition...

Statistics and probability

  • 2020
  • Jimp
  • Link
Result

Dynamic parameter estimation based on minimum cross-entropy method for combining information sources

with two problems: which combining method to choose (linear combination, geometric mean to them. Inspired by [Sečkárová, 2013] we introduce a method which overcomes such shortcomings. Proposed method, based on minimization...

BB - Aplikovaná statistika, operační výzkum

  • 2015
  • Jx
Result

Weighted Probabilistic Opinion Pooling Based on Cross-Entropy

In this work we focus on opinion pooling in the finite group of sources introduced in [Seckarova, 2015]. This approach, heavily exploiting Kullback-Leibler divergence (also known as cross-entropy), allows us to combine sources? opin...

BC - Teorie a systémy řízení

  • 2015
  • D
  • Link
Result

Reliability-Based Control System Optimization in Uncertain Conditions

This paper presents an automated control system tuning approach with emphasis on reliability with respect to vehicle's Operational Design Domain (ODD). A joined approach based on Cross-Entropy Method (CEM) and Polynomial Ch...

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

  • 2024
  • D
  • Link
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