Introduction

You Will Know

• topic1

Why Should You Learn These

• Deep Learning 이전의 idea들을 확인
• Linear 보다 적은 parameter를 사용해도 예측력이 높음

Contents

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1. State Space Model (상태 공간 모형)

2. Simple Exponential Smoothing (지수평활법)

3. ETS (Error / Trend / Seasonal) Algorithm

4. Local Level Model (로컬레벨 모형)

5. Local Linear Level Model (로컬선형레벨 모형)

6. Structural Model (구조화 모형)

Conclusions

References

• link1

Further Readings

• a further reading for topic 1

Note