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Time series models for forecasting: Testing or combining?
Zhuo Chen
, Yuhong Yang
Research output
:
Journal Publication
›
Article
›
peer-review
7
Citations (Scopus)
Overview
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Dive into the research topics of 'Time series models for forecasting: Testing or combining?'. Together they form a unique fingerprint.
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Mathematics
Evidence
7%
Forecast
90%
Forecasting
87%
Gauge
10%
Guidance
11%
Hypothesis Testing
9%
Model
3%
Model Selection
9%
Model-based
8%
Multiple Tests
13%
Null
8%
Testing
54%
Time Series Models
86%
Unstable
7%
Business & Economics
Combining Forecasts
18%
Empirical Evidence
12%
Forecast Accuracy
14%
Forecast Combining
45%
Forecasting Accuracy
14%
Guidance
11%
Hypothesis Testing
13%
Model Selection
19%
Testing
64%
Time Series Models
80%
Social Sciences
candidacy
11%
evidence
6%
hypothesis testing
17%
literature
6%
testing procedure
100%
time series
80%