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167 845 (0,313s)

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Fuzzy vs. Probabilistic Techniques in Time Series Analysis

of time series and what is their outcome in comparison with the probabilisticIn this paper, we discuss the difference between probabilistic and fuzzy techniques used in time series analysis. Firs...

Statistics and probability

  • 2018
  • D
  • Link
Result

Quantum Approach into Probabilistic Binary Modeling

The paper presents the theory of wave probabilistic models together with their important features like inclusion-exclusion rule, product rule, complementary principle and entanglement. These features are mathematically described and the illu...

BD - Teorie informace

  • 2009
  • D
Result

Quasi-Non-Ergodic Probabilistic Systems and Wave Probabilistic Functions

This paper presents models of quasi-non-ergodic probabilistic systems that are defined through the theory of wave probabilistic functions presented in [10-16]. First of all we show the new methodology oil a binary non-ergodic ti...

BD - Teorie informace

  • 2009
  • Jx
Result

Tensor Rank-One Decomposition of Probability Tables

the space and time requirements in probabilistic inference. Weprovide a closed form decomposition. The basic idea is to decompose a probability table into a series of tables, such that the table that is the sum of the ...

BA - Obecná matematika

  • 2006
  • D
Result

Complementary variables and its application in statistics

application in the area of applied probabilistic modeling. By introduction of complementarity's principle between x-representation (random time series, random process) and p-representation or k-representation (rate of chan...

JO - Pozemní dopravní systémy a zařízení

  • 2007
  • Jx
Result

Wave Probabilistic Models

information about the changes of time series or random processes. Next feature of wave probabilistic models is the quantization principle or definition of probabilistic inclusionThe paper presents the basic theory...

JO - Pozemní dopravní systémy a zařízení

  • 2007
  • Jx
Result

Exploiting Tensor Rank-One Decomposition in Probabilistic Inference

to reduce the space and time requirements in probabilistic inference. We provide decomposition. The basic idea is to decompose a probability table into a series of tables, such that the table that is the sum of the ser...

BD - Teorie informace

  • 2007
  • Jx
Result

RE-SAMPLING ESTIMATION IN TIME SERIES

Many probabilistic models are used to analyse the time series. Two different methods for bootstrapping time series are described in the paper. The simplest model ? a first order autoregressive scheme is de...

BB - Aplikovaná statistika, operační výzkum

  • 2007
  • D
Result

Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge

The paper is focused on semi-probabilistic assessment of existing prestressed concrete bridge using Taylor series expansion. Probabilistic assessment of existing demanding and thus semi-probabilistic approach gets ...

Construction engineering, Municipal and structural engineering

  • 2021
  • D
  • Link
Result

Analysis of Wind Speed and Power Time Series Preceding Wind Ramp Events

amethodology for parametric analysis of time series preceding wind ramp events. The presented methodology is based on probabilistic data analysis. Sensitivity prediction methods derive future ramp estimates from power fore...

JE - Nejaderná energetika, spotřeba a užití energie

  • 2014
  • D
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