Skip to main navigation
Skip to search
Skip to main content
Universidad Adolfo Ibáñez Home
English
Español
Home
Profiles
Research units
Projects
Research output
Search by expertise, name or affiliation
Traditional versus novel forecasting techniques: How much do we gain?
Viviana Fernandez
Business School
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Traditional versus novel forecasting techniques: How much do we gain?'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Support Vector Machine
73%
Forecasting
67%
Unobserved Components
65%
Wavelets
52%
Moving Average
46%
Artificial Neural Network
25%
Forecast
23%
Manufacturing
21%
Finance
20%
Time series
17%
Economics
17%
Multiplicative
16%
Methodology
14%
Alternatives
12%
Business & Economics
Support Vector Machine
100%
Unobserved Components
85%
Wavelets
68%
Autoregressive Integrated Moving Average
49%
Forecasting Accuracy
22%
Artificial Neural Network
20%
Finance
19%
Encompassing
19%
Manufacturing
18%
Economics
10%
Methodology
9%
Alternatives
9%
United States of America
7%
Engineering & Materials Science
Support vector machines
47%
Finance
22%
Time series
16%
Economics
12%
Neural networks
11%