↓ Skip to main content
Altmetric
What is this page?
Embed badge
Share
Share on Twitter
Share on Facebook
Share by email
Handbook of Computational Statistics : Concepts and Methods
Overview of attention for book
Table of Contents
Altmetric Badge
Book Overview
Altmetric Badge
Chapter 1
How Computational Statistics Became the Backbone of Modern Data Science
Altmetric Badge
Chapter 2
Basic Computational Algorithms
Altmetric Badge
Chapter 3
Random Number Generation
Altmetric Badge
Chapter 4
Markov Chain Monte Carlo Technology
Altmetric Badge
Chapter 5
Numerical Linear Algebra
Altmetric Badge
Chapter 6
The EM Algorithm
Altmetric Badge
Chapter 7
Stochastic Optimization
Altmetric Badge
Chapter 8
Transforms in Statistics
Altmetric Badge
Chapter 9
Parallel Computing Techniques
Altmetric Badge
Chapter 10
Statistical Databases
Altmetric Badge
Chapter 11
Discovering and Visualizing Relations in High Dimensional Data
Altmetric Badge
Chapter 12
Interactive and Dynamic Graphics
Altmetric Badge
Chapter 13
The Grammar of Graphics
Altmetric Badge
Chapter 14
Statistical User Interfaces
Altmetric Badge
Chapter 15
Object Oriented Computing
Altmetric Badge
Chapter 16
Model Selection
Altmetric Badge
Chapter 17
Bootstrap and Resampling
Altmetric Badge
Chapter 18
Design and Analysis of Monte Carlo Experiments
Altmetric Badge
Chapter 19
Multivariate Density Estimation and Visualization
Altmetric Badge
Chapter 20
Smoothing: Local Regression Techniques
Altmetric Badge
Chapter 21
Semiparametric Models
Altmetric Badge
Chapter 22
Dimension Reduction Methods
Altmetric Badge
Chapter 23
(Non) Linear Regression Modeling
Altmetric Badge
Chapter 24
Generalized Linear Models
Altmetric Badge
Chapter 25
Robust Statistics
Altmetric Badge
Chapter 26
Bayesian Computational Methods
Altmetric Badge
Chapter 27
Computational Methods in Survival Analysis
Altmetric Badge
Chapter 28
Data and Knowledge Mining
Altmetric Badge
Chapter 29
Recursive Partitioning and Tree-based Methods
Altmetric Badge
Chapter 30
Support Vector Machines
Altmetric Badge
Chapter 31
Learning Under Non-stationarity: Covariate Shift Adaptation by Importance Weighting
Altmetric Badge
Chapter 32
Saddlepoint Approximations: A Review and Some New Applications
Altmetric Badge
Chapter 33
Bagging, Boosting and Ensemble Methods
Altmetric Badge
Chapter 34
Heavy-Tailed Distributions in VaR Calculations
Altmetric Badge
Chapter 35
Econometrics
Altmetric Badge
Chapter 36
Statistical and Computational Geometry of Biomolecular Structure
Altmetric Badge
Chapter 37
Functional Magnetic Resonance Imaging
Altmetric Badge
Chapter 38
Network Intrusion Detection
Overall attention for this book and its chapters
Altmetric Badge
Mentioned by
twitter
1
X user
syllabi
1
institution with syllabi
wikipedia
8
Wikipedia pages
q&a
1
Q&A thread
Citations
dimensions_citation
93
Dimensions
Readers on
mendeley
208
Mendeley
Book overview
1. How Computational Statistics Became the Backbone of Modern Data Science
2. Basic Computational Algorithms
3. Random Number Generation
4. Markov Chain Monte Carlo Technology
5. Numerical Linear Algebra
6. The EM Algorithm
7. Stochastic Optimization
8. Transforms in Statistics
9. Parallel Computing Techniques
10. Statistical Databases
11. Discovering and Visualizing Relations in High Dimensional Data
12. Interactive and Dynamic Graphics
13. The Grammar of Graphics
14. Statistical User Interfaces
15. Object Oriented Computing
16. Model Selection
17. Bootstrap and Resampling
18. Design and Analysis of Monte Carlo Experiments
19. Multivariate Density Estimation and Visualization
20. Smoothing: Local Regression Techniques
21. Semiparametric Models
22. Dimension Reduction Methods
23. (Non) Linear Regression Modeling
24. Generalized Linear Models
25. Robust Statistics
26. Bayesian Computational Methods
27. Computational Methods in Survival Analysis
28. Data and Knowledge Mining
29. Recursive Partitioning and Tree-based Methods
30. Support Vector Machines
31. Learning Under Non-stationarity: Covariate Shift Adaptation by Importance Weighting
32. Saddlepoint Approximations: A Review and Some New Applications
33. Bagging, Boosting and Ensemble Methods
34. Heavy-Tailed Distributions in VaR Calculations
35. Econometrics
36. Statistical and Computational Geometry of Biomolecular Structure
37. Functional Magnetic Resonance Imaging
38. Network Intrusion Detection
Summary
X
Syllabi
Wikipedia
Q&A
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
2
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Unknown
2
Business, Engineering, Biology, History, Law