Coverart for item
The Resource Probability for statistics and machine learning : fundamentals and advanced topics, Anirban DasGupta

Probability for statistics and machine learning : fundamentals and advanced topics, Anirban DasGupta

Label
Probability for statistics and machine learning : fundamentals and advanced topics
Title
Probability for statistics and machine learning
Title remainder
fundamentals and advanced topics
Statement of responsibility
Anirban DasGupta
Creator
Subject
Language
eng
Member of
Cataloging source
YDXCP
http://library.link/vocab/creatorName
DasGupta, Anirban
Illustrations
illustrations
Index
index present
LC call number
QA274
LC item number
.D28 2011
Literary form
non fiction
Nature of contents
bibliography
Series statement
Springer texts in statistics
http://library.link/vocab/subjectName
  • Probabilities
  • Stochastic processes
  • Mathematical statistics
  • Machine learning
Target audience
adult
Label
Probability for statistics and machine learning : fundamentals and advanced topics, Anirban DasGupta
Instantiates
Publication
Bibliography note
Includes bibliographical references and indexes
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Review of univariate probability -- Multivariate discrete distributions -- Multidimensional densities -- Advanced distribution theory -- Multivariate normal and related distributions -- Finite sample theory of order statistics and extremes -- Essential asymptotics and applications -- Characteristics functions and applications -- Asymptotoics of extremes and order statistics -- Markov chains and application -- Random walks -- Brownian motion and Gaussian processes -- Poisson processes and applications -- Discrete time martingales and concentration inequalities -- Probability metrics -- Empirical processes and VC theory -- Large deviations -- The exponential family and statistical applications -- Simulation and Markov chain Monte Carlo -- Useful tools for statistics and machine learning
Control code
706920643
Dimensions
24 cm
Extent
xix, 782 pages
Isbn
9781441996336
Lccn
2011924777
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)706920643
Label
Probability for statistics and machine learning : fundamentals and advanced topics, Anirban DasGupta
Publication
Bibliography note
Includes bibliographical references and indexes
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Review of univariate probability -- Multivariate discrete distributions -- Multidimensional densities -- Advanced distribution theory -- Multivariate normal and related distributions -- Finite sample theory of order statistics and extremes -- Essential asymptotics and applications -- Characteristics functions and applications -- Asymptotoics of extremes and order statistics -- Markov chains and application -- Random walks -- Brownian motion and Gaussian processes -- Poisson processes and applications -- Discrete time martingales and concentration inequalities -- Probability metrics -- Empirical processes and VC theory -- Large deviations -- The exponential family and statistical applications -- Simulation and Markov chain Monte Carlo -- Useful tools for statistics and machine learning
Control code
706920643
Dimensions
24 cm
Extent
xix, 782 pages
Isbn
9781441996336
Lccn
2011924777
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)706920643

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
Processing Feedback ...