Prediction and interpolation of time series by state space models

Prediction and interpolation of time series by state space models

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A large amount of data collected today is in the form of a time series. In order to make realistic inferences based on time series forecasts, in addition to point predictions, prediction intervals or other measures of uncertainty should be presented. Multiple sources of uncertainty are often igno...

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Bibliographic Details
Main Author: Helske, Jouni
Other Authors: Faculty of Mathematics and Science, Matemaattis-luonnontieteellinen tiedekunta, Matematiikan ja tilastotieteen laitos, Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylän yliopisto
Format: Doctoral dissertation
Language:eng
Published: 2015
Subjects:
Time-series analysis
Prediction theory
Interpolation
tila-avaruusmallit
time series
prediction
forecasting
uncertainty
state space models
Tilastotiede
aikasarja-analyysi
aikasarjat
mallintaminen
ennusteet
epävarmuus
R-kieli
Online Access: https://jyx.jyu.fi/handle/123456789/49043

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