Bayesian Econometric Modelling for Big Data - Hang Qian
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This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques. The book is an essential resource for graduate students, early-career statisticians, data analysts, and statistical software users and developers.
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Aprašymas
This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques. The book is an essential resource for graduate students, early-career statisticians, data analysts, and statistical software users and developers.
Vairāk informācijas
| Autors | Hang Qian |
|---|---|
| Izdevējs | Taylor & Francis Ltd |
| Izlaides gads | 2025 |
| Vāka tips | Cietais vāks |
| EAN | 9781032915258 |