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20140310151446.0 |
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110517s2011 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781441996343 |
|
978-1-4419-9634-3 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA276-280 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.5 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
New York, NY : |
| -- |
Springer New York : |
| -- |
Imprint: Springer, |
| -- |
2011. |
| 912 ## - |
|---|
| -- |
ZDB-2-SMA |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
DasGupta, Anirban. |
| Relator term |
author. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Probability for Statistics and Machine Learning |
| Medium |
[electronic resource] : |
| Remainder of title |
Fundamentals and Advanced Topics / |
| Statement of responsibility, etc |
by Anirban DasGupta. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XX, 784 p. |
| Other physical details |
online resource. |
| 440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Springer Texts in Statistics, |
| International Standard Serial Number |
1431-875X |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1. Review of Univariate Probability -- Chapter 2. Multivariate Discrete Distributions -- Chapter 3. Multidimensional Densities -- Chapter 4. Advance Distribution Theory -- Chapter 5. Multivariate Normal and Related Distributions -- Chapter 6. Finite Sample Theory of Order Statistics and Extremes -- Chapter 7. Essential Asymptotics and Applications -- Chapter 8. Characteristic Functions and Applications -- Chapter 9. Asymptotics of Extremes and Order Statistics -- Chapter 10. Markov Chains and Applications -- Chapter 11. Random Walks -- Chapter 12. Brownian Motion and Gaussian Processes -- Chapter 13. Posson Processes and Applications -- Chapter 14. Discrete Time Martingales and Concentration Inequalities -- Chapter 15. Probability Metrics -- Chapter 16. Empirical Processes and VC Theory -- Chapter 17. Large Deviations -- Chapter 18. The Exponential Family and Statistical Applications -- Chapter 19. Simulation and Markov Chain Monte Carlo -- Chapter 20. Useful Tools for Statistics and Machine Learning -- Appendix A. Symbols, Useful Formulas, and Normal Table. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistics. |
|
|---|
| Topical term or geographic name as entry element |
Computer simulation. |
|
|---|
| Topical term or geographic name as entry element |
Bioinformatics. |
|
|---|
| Topical term or geographic name as entry element |
Distribution (Probability theory). |
|
|---|
| Topical term or geographic name as entry element |
Mathematical statistics. |
|
|---|
| Topical term or geographic name as entry element |
Statistics. |
|
|---|
| Topical term or geographic name as entry element |
Statistical Theory and Methods. |
|
|---|
| Topical term or geographic name as entry element |
Probability Theory and Stochastic Processes. |
|
|---|
| Topical term or geographic name as entry element |
Simulation and Modeling. |
|
|---|
| Topical term or geographic name as entry element |
Bioinformatics. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9781441996336 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-1-4419-9634-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
