Basic Elements of Computational Statistics by Yarema Okhrin
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.-
Introductory Statistics with R
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R for SAS and SPSS Users
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Mixed-Effects Models in S and S-PLUS
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The Grammar of Graphics
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An Introduction to Statistics with Python
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Developing Statistical Software in Fortran 95
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Software for Data Analysis
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Modern Applied Statistics with S-PLUS
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Modern Applied Statistics with S
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SAS for Data Analysis
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Visualizing Time
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Evolutionary Statistical Procedures
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XploRe: An Interactive Statistical Computing Environment
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Computer Intensive Methods in Statistics
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Local Regression and Likelihood
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Numerical Analysis for Statisticians
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Numerical Linear Algebra for Applications in Statistics
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Automatic Nonuniform Random Variate Generation
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Elements of Network Science
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Independent Random Sampling Methods
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Graphics of Large Datasets
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S Programming
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Computational Statistics
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Branch-and-Bound Applications in Combinatorial Data Analysis
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The R Software
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Random Number Generation and Monte Carlo Methods
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Elements of Computational Statistics
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A SAS/IML Companion for Linear Models
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Applied Quantitative Finance
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Visualization and Imputation of Missing Values
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Fundamentals of Supervised Machine Learning
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Variowin
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Numerical Bayesian Methods Applied to Signal Processing
“The book deals with different tools and concepts regarding statistical analysis. … The book is intended for advanced undergraduate and even MSc students, as well as PhD student, working with different statistical techniques.” (Florin Gorunescu, zbMATH 1392.62001, 2018)
Wolfgang Karl Härdle is the Ladislaus von Bortkiewicz Professor of Statistics at the Humboldt-Universität zu Berlin and Director of C.A.S.E. (Center for Applied Statistics and Economics), Director of the CRC-649 (Collaborative Research Center) “Economic Risk” as well as Director of the IRTG 1792 “High Dimensional Non-stationary Time Series”. He teaches quantitative finance and semi-parametric statistics. His research focuses on dynamic factor models, multivariate statistics, tail event curves in finance and computational statistics. He is an elected member of the ISI (International Statistical Institute) and foreign expert professor at Xiamen University, China, and a senior fellow of Sim Kee Boon Institute of Financial Economics at the Singapore Management University.
Ostap Okhrin is Professor of Econometrics and Statistics, especially in Transportation at the Dresden University of Technology. He worked at the European University Viadrin
a and later was an Assistant and then Associate Professor for Statistics of Financial Markets at the Humboldt University of Berlin and one of the principal investigators of the CRC-649 (Collaborative Research Center) „Economic Risk". He teaches multivariate and mathematical statistics. His research focuses on multivariate models in particular copulas and financial econometrics.
Yarema Okhrin is Professor of Statistics at the University of Augsburg. He teaches financial econometrics and multivariate data analysis. His research focuses on multivariate statistics and econometrics with applications to finance, statistical surveillance and computational statistics. He previously worked as Assistant Professor of Econometrics at the University of Bern and at the European University Viadrina.
| SKU | Unavailable |
| ISBN 13 | 9783319553351 |
| ISBN 10 | 3319553356 |
| Title | Basic Elements of Computational Statistics |
| Author | Yarema Okhrin |
| Series | Statistics And Computing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2017-10-10 |
| Number of pages | 305 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |