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The Resource Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components, by Ivan Nagy, Evgenia Suzdaleva, (electronic resource)

Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components, by Ivan Nagy, Evgenia Suzdaleva, (electronic resource)

Label
Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components
Title
Algorithms and Programs of Dynamic Mixture Estimation
Title remainder
Unified Approach to Different Types of Components
Statement of responsibility
by Ivan Nagy, Evgenia Suzdaleva
Creator
Contributor
Author
Subject
Language
eng
Summary
This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics. It offers the recursive estimation of dynamic mixtures, which are free of iterative processes and close to analytical solutions as much as possible. In addition, these methods can be used online and simultaneously perform learning, which improves their efficiency during estimation. The book includes detailed program codes for solving the presented theoretical tasks. Codes are implemented in the open source platform for engineering computations. The program codes given serve to illustrate the theory and demonstrate the work of the included algorithms.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Nagy, Ivan
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Suzdaleva, Evgenia.
Series statement
  • Springer eBooks
  • SpringerBriefs in Statistics,
http://library.link/vocab/subjectName
  • Mathematics
  • Computer simulation
  • System theory
  • Algorithms
  • Probabilities
  • Statistics
Label
Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components, by Ivan Nagy, Evgenia Suzdaleva, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-64671-8
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Basic Models -- Statistical Analysis of Dynamic Mixtures -- Dynamic Mixture Estimation -- Program Codes -- Experiments -- Appendices
Control code
978-3-319-64671-8
Dimensions
unknown
Extent
1 online resource (IX, 113 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319646718
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-64671-8
Other physical details
27 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1001368259
Label
Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components, by Ivan Nagy, Evgenia Suzdaleva, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-64671-8
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Basic Models -- Statistical Analysis of Dynamic Mixtures -- Dynamic Mixture Estimation -- Program Codes -- Experiments -- Appendices
Control code
978-3-319-64671-8
Dimensions
unknown
Extent
1 online resource (IX, 113 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319646718
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-64671-8
Other physical details
27 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1001368259

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