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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
Forecast
90%
Forecasting
87%
Time Series Models
86%
Testing
54%
Multiple Tests
13%
Guidance
11%
Gauge
10%
Hypothesis Testing
9%
Model Selection
9%
Null
8%
Model-based
8%
Evidence
7%
Unstable
7%
Model
3%
Business & Economics
Time Series Models
80%
Testing
64%
Forecast Combining
45%
Model Selection
19%
Combining Forecasts
18%
Forecasting Accuracy
14%
Forecast Accuracy
14%
Hypothesis Testing
13%
Empirical Evidence
12%
Guidance
11%
Social Sciences
testing procedure
100%
time series
80%
hypothesis testing
17%
candidacy
11%
evidence
6%
literature
6%