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13 231 (0,135s)

Result

Quantification of prior information revised.

Quantification of prior information about possibly high-dimensional unknown parameters of dynamic probabilistic models is adressed. Their prior probability density function (pdf) is chosen in conjugate form. Individual piec...

BC - Teorie a systémy řízení

  • 2001
  • Jx
Result

Bayesian estimation in exponential competing risks model

The paper deals with the competing risks model with independent exponential distibutions of risks, conjugate priors are considered for parameters of the model. Bayes estimators under quadratic loss are explored, the stress is put on...

BA - Obecná matematika

  • 2001
  • D
Result

Diffusion Estimation Of State-Space Models: Bayesian Formulation

model is rewritten into the exponential family form and a conjugate prior describesThe paper studies the problem of decentralized distributed estimation of the state-space models from the Bayesian viewpoint. The adopted d...

Statistics and probability

  • 2014
  • D
  • Link
Result

Sequential Estimation of Mixtures in Diffusion Networks

with unknown component parameters and weights. Moreover, if conjugate priors are usedThe letter studies the problem of sequential estimation of mixtures in diffusion networks whose nodes communicate only with their adjacent neighbo...

BB - Aplikovaná statistika, operační výzkum

  • 2015
  • Jx
  • Link
Result

Marginalized Particle Filters for Bayesian Estimation of Gaussian Noise Parameters

and analytically using the concept of conjugate prior distributions. The resulting marginalized...

BC - Teorie a systémy řízení

  • 2010
  • D
Result

Weak asymptonic of the Bayes estimator of the reliability function in the Koziol-Green model

The Bayesian estimator (assuming conjugate prior density) of the reliability function in the Koziol-Green model with exponential distribution is considered, and the weak convergence of the estimator process to the Gaussian ...

BA - Obecná matematika

  • 2001
  • Jx
Result

Forecasting Czech GDP using Bayesian Dynamic Model Averaging

Main topics of the document: Bayesian dynamic model averaging; Minnesota prior; Bayesian Vector Autoregressive model; GDP forecasting......

Statistics and probability

  • 2018
  • Jost
  • Link
Result

Bayesian Inference of Total Least-Squares With Known Precision

density function, conjugate prior probability-density function, and the posteriorThis paper provides a Bayesian analysis of the total least-squares problem. The resulting Bayesian inference expands on available me...

Automation and control systems

  • 2022
  • D
  • Link
Result

Hierarchical Modelling of Industrial System Reliability with Probabilistic Logic

The use of Bayesian methods in dynamic assessment of system reliability is inevitably limited by compu- tational dif?culties arising from non-conjugate prior distributions. This contribution proposes an alternative framewor...

BB - Aplikovaná statistika, operační výzkum

  • 2014
  • D
Result

Bayesian estimates: tool for processing prior information

This paper considers some fundamental statistical models and investigates whether Bayesian estimates of their parameters correspond to intuition in the situation, when observed data are combined with results of previous (prior) meas...

Statistics and probability

  • 2021
  • Jost
  • Link
  • 1 - 10 out of 13 231