
Modeling and Stochastic Learning for Forecasting in High Dimensions
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Persons
Content
1 Short Term Load Forecasting in the Industry for Establishing Consumption Baselines: A French Case.- 2 Confidence intervals and tests for high-dimensional models: a compact review.- 3 Modelling and forecasting daily electricity load via curve linear regression.- 4 Constructing Graphical Models via the Focused Information Criterion.- 5 Nonparametric short term Forecasting electricity consumption with IBR.- 6 Forecasting the electricity consumption by aggregating experts.- 7 Flexible and dynamic modeling of dependencies via copulas.- 8 Operational and online residential baseline estimation.- 9 Forecasting intra day load curves using sparse functional regression.- 10 Modelling and Prediction of Time Series Arising on a Graph.- 11 GAM model based large scale electrical load simulation for smart grids.- 12 Spot volatility estimation for high-frequency data: adaptive estimation in practice.- 13 Time series prediction via aggregation: an oracle bound including numerical cost.- 14 Space-time trajectories of wind power generation: Parametrized precision matrices under a Gaussian copula approach.- 15 Game-theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts.- 16 The BAGIDIS distance: about a fractal topology, with applications to functional classification and prediction.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.