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Mixture and hidden Markov models with R

Mixture and hidden Markov models with R

Material type
단행본
Personal Author
Visser, Ingmar. Speekenbrink, Maarten.
Title Statement
Mixture and hidden Markov models with R / Ingmar Visser, Maarten Speekenbrink.
Publication, Distribution, etc
Cham :   Springer,   2022.  
Physical Medium
xvi, 267 p. : ill. ; 25 cm.
Series Statement
Use R!
ISBN
9783031014383
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Markov processes. R (Computer program language).
000 00000nam u2200205 a 4500
001 000046140141
005 20230130130422
008 230130s2022 sz a b 001 0 eng d
020 ▼a 9783031014383
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QA274.7
082 0 4 ▼a 519.2/33 ▼2 23
084 ▼a 519.233 ▼2 DDCK
090 ▼a 519.233 ▼b V834m
100 1 ▼a Visser, Ingmar.
245 1 0 ▼a Mixture and hidden Markov models with R / ▼c Ingmar Visser, Maarten Speekenbrink.
260 ▼a Cham : ▼b Springer, ▼c 2022.
300 ▼a xvi, 267 p. : ▼b ill. ; ▼c 25 cm.
490 1 ▼a Use R!
504 ▼a Includes bibliographical references and index.
650 0 ▼a Markov processes.
650 0 ▼a R (Computer program language).
700 1 ▼a Speekenbrink, Maarten.
830 0 ▼a Use R!.
945 ▼a ITMT

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 519.233 V834m Accession No. 121261969 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Preface.- Introduction & preliminaries.- 2 Mixture and latent class models.- 3 Mixture and latent class models: Applications.- 4 Hidden Markov model.- 5 Univariate hidden Markov models.- 6 Multivariate hidden Markov models.- 7 Extensions.- References.- Index.- Epilogue.

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