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Estimating Ergodic Process Driven by Non-Gaussian Noise
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- Masuda Hiroki
- 九州大学 マス・フォア・インダストリ研究所,CREST/JST
Bibliographic Information
- Other Title
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- 非正規ノイズ型エルゴード過程の推定
- 日本統計学会研究業績賞受賞者特別寄稿論文 非正規ノイズ型エルゴート過程の推定
- ニホン トウケイ ガッカイ ケンキュウ ギョウセキショウ ジュショウシャ トクベツ キコウ ロンブン ヒセイキ ノイズガタ エルゴート カテイ ノ スイテイ
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Description
Concerning a stochastic differential equation driven by a non-Gaussian Lévy process, we outline construction and asymptotic behavior of the Gaussian quasi-maximum-likelihood estimator and self-normalized-residual based test statistics for noise-normality and diffusion-coefficient misspecification.
Journal
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- Journal of the Japan Statistical Society, Japanese Issue
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Journal of the Japan Statistical Society, Japanese Issue 44 (2), 471-495, 2015
Japan Statistical Society
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Details 詳細情報について
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- CRID
- 1390001204436717312
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- NII Article ID
- 110009930639
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- NII Book ID
- AA11989749
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- ISSN
- 21891478
- 03895602
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- NDL BIB ID
- 026281777
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- NDL Digital Collections (NII-ELS)
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed