• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Uncertainty Principle for Time Series

Uncertainty Principle for Time Series

Hardcover

Probability & Statistics

Currently unavailable to order

ISBN10: 1785481746
ISBN13: 9781785481741
Publisher: Iste Pr Elsevier
Published: Dec 15 2018
Pages: 150
Language: English

Uncertainty Principle for Time Series is devoted to a model-free approach that bypasses most of the existing shortcomings; the proof of the existence of a trend is a key ingredient. Although time series is a classic object of study in many branches of applied sciences (econometrics, financial engineering, weather forecast, neurosciences, etc.), most of the existing settings are assuming the knowledge of a model and of the probabilistic nature of the uncertainties. Those assumptions are almost always impossible to fulfill. Moreover a complete and elegant mathematical treatment exists only in the case of stationary processes, which almost never occur in practice. All those points explain the difficulty of applying the existing approaches in concrete situations.

Also in

Probability & Statistics