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4 votes
2 answers
57 views

Forecasting a series that comes with uncertainty

I have a time series resulting from a spatiotemporal aggregation on the spatial domain. As a result, I have a central measurement (let's say mean average) and a dispersion (let's say standard ...
Ricardo Barros Lourenço's user avatar
1 vote
1 answer
83 views

How can I use functional time series or functional principal component regression for forecasting this type of data?

Lets say I have this type of data. For one of the series, I observed data until day 300. Can I use functional principal component regression to forecast next 50 observations? What is the best way to ...
MSKO's user avatar
  • 71
1 vote
0 answers
67 views

Forecasting using functional data analysis with parametric models for the functions

I have collected data at regularly spaced time intervals, and at each time, the observed data is commonly fit by a simple parametric functional form involving several parameters. A naive approach to ...
Barry's user avatar
  • 261
2 votes
2 answers
525 views

Forecasting ranges for multiple observations with quarterly data

I have 90 markets with quarterly results, with data from 2014 Q1 to 2016 Q2. I'd like to predict 2016 Q4 results. With a time-series in R, as I understand, you need a single observation over multiple ...
pedram's user avatar
  • 192
10 votes
3 answers
1k views

Forecasting of density function

I am doing some research about forecasting time series of probability density functions. We are aiming to forecast a PDF given historically observed (usually, estimated) PDF. The forecasting method we ...
yuanyang's user avatar
  • 101