Výsledky vyhledávání - "Abad, Zahra S. H."

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Clustering sequence data with mixture Markov chains with covariates using multiple simplex constrained optimization routine (MSiCOR)

Autor: Das, Priyam, Sen, Deborshee, De, Debsurya, Hou, Jue, Abad, Zahra S. H., Kim, Nicole, Xia, Zongqi, Cai, Tianxi

Mixture Markov Model (MMM) is a widely used tool to cluster sequences of events coming from a finite state-space. However the MMM likelihood being multi-modal, the challenge remains in its maximization. Although Expectation-Maximization (EM) algorith

Externí odkaz: http://arxiv.org/abs/1609.02249

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Akademický článek

Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR).

Autor: Das, Priyam, Sen, Deborshee, De, Debsurya, Hou, Jue, Abad, Zahra S. H., Kim, Nicole, Xia, Zongqi, Cai, Tianxi

Publikováno v: Journal of Computational & Graphical Statistics; Apr-Jun2024, Vol. 33 Issue 2, p379-392, 14p

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Akademický článek

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Clustering Multiple Sclerosis Medication Sequence Data with Mixture Markov Chain Analysis with covariates using Multiple Simplex Constrained Optimization Routine (MSiCOR)

Autor: Das, Priyam, Sen, Deborshee, De, Debsurya, Hou, Jue, Abad, Zahra S. H., Kim, Nicole, Xia, Zongqi, Cai, Tianxi

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system that causes neurodegeneration. While disease-modifying therapies (DMTs) reduce inflammatory disease activity and delay worsening disability in MS, there are significantly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01a362fe3b3a54861d409490f886e8b0

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