Výsledky vyhledávání - "mixture transition distribution"

The energy produced by a wind farm in a given location and its associated income depends both on the wind characteristics in that location—i.e., speed and direction—and the dynamics of the electricity spot price. Because of the evidence of cross-

Externí odkaz: https://doaj.org/article/69b09ea0afa64129bbeba4b237bd876d

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Akademický článek

The Use of a Hidden Mixture Transition Distribution Model in Clustering Few but Long Continuous Sequences: An Illustration with Cognitive Skills Data

Autor: Zhivko Taushanov, Paolo Ghisletta

Publikováno v: Symmetry, Vol 12, Iss 10, p 1618 (2020)

In accordance with the theme of this special issue, we present a model that indirectly discovers symmetries and asymmetries between past and present assessments within continuous sequences. More specifically, we present an alternative use of a latent

Externí odkaz: https://doaj.org/article/3ea803ccd292462e9b5672be5938b3ea

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Akademický článek

Modeling Marked Point Processes via Bivariate Mixture Transition Distribution Models

Autor: Hassan, Mohamed Yusuf, Lii, Keh-Shin

Publikováno v: Journal of the American Statistical Association, 2006 Sep 01. 101(475), 1241-1252.

Externí odkaz: https://www.jstor.org/stable/27590798

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Generalized multivariate Markov chains : estimation, inference and implementation in R

Autor: Vasconcelos, Carolina Micael de Abreu e

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Mestrado Bolonha em Econometria Aplicada e Previsão Este trabalho propõe uma nova generalização do modelo de Cadeias de Markov Multivariadas. Tipicamente, uma cadeia de Markov é descrita pelos valores passados do pro- cesso, a generalização pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1be1eacfdb9ca01b989e266c0e5a45a1

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A Direct Local Search Method and its Application to a Markovian Model

Autor: André Berchtold, Zhivko Taushanov

Publikováno v: Statistics, Optimization and Information Computing, Vol 5, Iss 1, Pp 19-34 (2017)

While the hidden mixture transition distribution (HMTD) model is a powerful framework for the description, analysis, and classification of longitudinal sequences of continuous data, it is notoriously difficult to estimate because of the complexity of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc63fd66547f7e60607deaae5b19695d
http://www.iapress.org/index.php/soic/article/view/253

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