Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach

Huang, Mian; Huang, Yue; Yao, Weixin

doi:10.1007/s11425-020-1913-7

Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach

Journal Article · 22 November 2022 · Science China Mathematics

DOI:https://doi.org/10.1007/s11425-020-1913-7· OSTI ID:2418642

Huang, Mian ^[1]; Huang, Yue; Yao, Weixin

OSTI

Not provided.

Research Organization:: Electric Power Research Inst. (EPRI), Palo Alto, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: EE0008574

OSTI ID:: 2418642

Journal Information:: Science China Mathematics, Journal Name: Science China Mathematics Journal Issue: 3 Vol. 66; ISSN 1674-7283

Publisher:: Science China Press - Springer

Country of Publication:: United States

Language:: English

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