Computer Intensive Methods in Statistics
Autor Silvelyn Zwanzig, Behrang Mahjanien Limba Engleză Paperback – 2 dec 2019
Features
- Presents the main ideas of computer-intensive statistical methods
- Gives the algorithms for all the methods
- Uses various plots and illustrations for explaining the main ideas
- Features the theoretical backgrounds of the main methods.
- Includes R codes for the methods and examples
Behrang Mahjani is a postdoctoral fellow with a Ph.D. in Scientific Computing with a focus on Computational Statistics, from Uppsala University, Sweden. He joined the Seaver Autism Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, in September 2017 and was formerly a postdoctoral fellow at the Karolinska Institutet, Stockholm, Sweden. His research is focused on solving large-scale problems through statistical and computational methods.
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Specificații
ISBN-13: 9780367194239
ISBN-10: 0367194236
Pagini: 226
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.37 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 0367194236
Pagini: 226
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.37 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Cuprins
Introduction. 1. Randfom Variable Generation. 2. Monte Carlo Methods. 3. Bootstrap. 4. Simulation based Methods. 5. Density Estimation. 6. Nonparametric Regression.
Notă biografică
Silvelyn Zwanzig is an Associate Professor for Mathematical Statistics at Uppsala University. She studied Mathematics at the Humboldt- University in Berlin. Before coming to Sweden, she was Assistant Professor at the University of Hamburg in Germany. She received her Ph.D. in Mathematics at the Academy of Sciences of the GDR. Since 1991, she has taught Statistics for undergraduate and graduate students. Her research interests have moved from theoretical statistics to computer intensive statistics.
Behrang Mahjani is a postdoctoral fellow with a Ph.D. in Scientific Computing with a focus on Computational Statistics, from Uppsala University, Sweden. He joined the Seaver Autism Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, in September 2017 and was formerly a postdoctoral fellow at the Karolinska Institutet, Stockholm, Sweden. His research is focused on solving large-scale problems through statistical and computational methods.
Behrang Mahjani is a postdoctoral fellow with a Ph.D. in Scientific Computing with a focus on Computational Statistics, from Uppsala University, Sweden. He joined the Seaver Autism Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, in September 2017 and was formerly a postdoctoral fellow at the Karolinska Institutet, Stockholm, Sweden. His research is focused on solving large-scale problems through statistical and computational methods.
Recenzii
"...The book is rich in content, excellent in coverage, highly informative, extremely reader friendly in style, and full of cartoon illustrations. The reader will find this book as a collection of the most important ideas and tools that are used in computer intensive methods for statistical analysis and data analytic investigations...The book can be used by upper undergraduate and graduate students as well as researchers and practitioners in statistics, data science, and users of all disciplines. The good news is that it is available in paperback.
- Subir Ghosh, Technometrics, Volume 62
'After finishing the book, I feel that Computer Intensive Methods in Statistics is written for students at the graduate level and that it could also be used by practitioners, owing to its pure speech communication by leading experts engaged in applications in the real world (with inclusion of many examples). The book presents data and programs to replicate the models developed and offers new methods that are ready to use. In my opinion, the book is a must-have for the interested biostatistician since it reflects the rapid advances in technologies that have led to significant revolution.'
- Luca Bertolaccini, International Society for Clinical Biostatistics, 71, 2021
- Subir Ghosh, Technometrics, Volume 62
'After finishing the book, I feel that Computer Intensive Methods in Statistics is written for students at the graduate level and that it could also be used by practitioners, owing to its pure speech communication by leading experts engaged in applications in the real world (with inclusion of many examples). The book presents data and programs to replicate the models developed and offers new methods that are ready to use. In my opinion, the book is a must-have for the interested biostatistician since it reflects the rapid advances in technologies that have led to significant revolution.'
- Luca Bertolaccini, International Society for Clinical Biostatistics, 71, 2021
Descriere
This book gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, wavelet estimators, splines, and model assessment