A k-means method for trends of time series: An application to time series of COVID-19 cases in Japan. [PDF]
Jpn J Stat Data Sci, 2022 Watanabe N.
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Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes. [PDF]
Biotechnol Rep (Amst), 2021 Smiatek J +8 more
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ZOTMPo-INAR(1) Process: Entropy and Modeling of Epidemiological Count Time Series Data. [PDF]
Entropy (Basel)Awale M +5 more
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Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine. [PDF]
Entropy (Basel), 2022 Zavala-Díaz JC +4 more
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The Wold Isomorphism for Cyclostationary Sequences
, 1997 In 1948 H. Wold introduced an isometric isomorphism between a Hilbert (linear) space formed from the weighted shifts of a numerical sequence and a suitable Hilbert space of values of a second order stochastic sequence. Recently W.A.
Timo Koski, Harry Hurd
core
Modeling multivariate ordinal time series. [PDF]
J Appl StatJahn M, Weiß CH.
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Efficient estimation in Markov chain models: an introduction
, 2007 We outline the theory of efficient estimation for semiparametric Markov chain models, and illustrate in a number of simple cases how the theory can be used to determine lower bounds for the asymptotic variance of estimators and to construct efficient ...
Wolfgang Wefelmeyer
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Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi-Varying Coefficient Models With Structure Identification. [PDF]
J Time Ser AnalGu Z, Li X, Wang G, Wang L.
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X Chromosome Evolution in Cetartiodactyla. [PDF]
Genes (Basel), 2017 Proskuryakova AA +14 more
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