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Original Articles

High-order extensions of the Double Chain Markov Model

Pages 193-227 | Received 02 Jul 2000, Accepted 01 Dec 2001, Published online: 15 Feb 2007

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Petter Arnesen, Tracy Holsclaw & Padhraic Smyth. (2016) Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences. Technometrics 58:2, pages 205-213.
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Articles from other publishers (21)

Aly R. Seadawy, Sarfaraz Ahmed, Syed T.R. Rizvi & Kashif Ali. (2022) Lumps, breathers, interactions and rogue wave solutions for a stochastic gene evolution in double chain deoxyribonucleic acid system. Chaos, Solitons & Fractals 161, pages 112307.
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André Berchtold, Ogier Maitre & Kevin Emery. (2020) Optimization of the Mixture Transition Distribution Model Using the March Package for R. Symmetry 12:12, pages 2031.
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André Berchtold. (2020) Confidence Intervals for the Mixture Transition Distribution (MTD) Model and Other Markovian Models. Symmetry 12:3, pages 351.
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Sapphire Yu Han, Aart C. Liefbroer & Cees H. Elzinga. (2020) Mechanisms of family formation: an application of Hidden Markov Models to a life course process. Advances in Life Course Research 43, pages 100265.
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André Berchtold. 2019. Encyclopedia of Animal Behavior. Encyclopedia of Animal Behavior 506 517 .
Alejandro Martín, Víctor Rodríguez-Fernández & David Camacho. (2018) CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains. Engineering Applications of Artificial Intelligence 74, pages 121-133.
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Sónia Gouveia, Tobias A. Möller, Christian H. Weiß & Manuel G. Scotto. (2018) A full ARMA model for counts with bounded support and its application to rainy-days time series. Stochastic Environmental Research and Risk Assessment 32:9, pages 2495-2514.
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André Berchtold, Joan-Carles Surís, Thomas Meyer & Zhivko Taushanov. (2018) Development of Somatic Complaints Among Adolescents and Young Adults in Switzerland. Swiss Journal of Sociology 44:2, pages 239-258.
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Christian Weiß. 2018. An Introduction to Discrete-Valued Time Series. An Introduction to Discrete-Valued Time Series 257 274 .
Victor Rodriguez-Fernandez, Antonio Gonzalez-Pardo & David Camacho. (2017) Modelling Behaviour in UAV Operations Using Higher Order Double Chain Markov Models. IEEE Computational Intelligence Magazine 12:4, pages 28-37.
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Юрий Семенович Харин & Yurii Semenovich Kharin. (2016) Экономные модели цепей Маркова высокого порядка для оценивания криптографических генераторовParsimonious models of high-order Markov chains for evaluation of cryptographic generators. Математические вопросы криптографии Matematicheskie Voprosy Kriptografii [Mathematical Aspects of Cryptography] 7:2, pages 131-142.
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Danilo Bolano & André Berchtold. (2016) General framework and model building in the class of Hidden Mixture Transition Distribution models. Computational Statistics & Data Analysis 93, pages 131-145.
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Irene L. Hudson, Shalem Y. Leemaqz, Susan W. Kim, David Darwent, Greg Roach & Drew Dawson. 2016. Artificial Neural Network Modelling. Artificial Neural Network Modelling 235 279 .
Gianbiagio Curato & Fabrizio Lillo. (2015) Modeling the coupled return-spread high frequency dynamics of large tick assets. Journal of Statistical Mechanics: Theory and Experiment 2015:1, pages P01028.
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Matthew Fitzpatrick & Dobrin Marchev. (2012) Efficient Bayesian estimation of the multivariate Double Chain Markov Model. Statistics and Computing 23:4, pages 467-480.
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H.A. Engelbrecht & J.A. du Preez. (2010) Efficient backward decoding of high-order hidden Markov models. Pattern Recognition 43:1, pages 99-112.
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A. Berchtold. 2010. Encyclopedia of Animal Behavior. Encyclopedia of Animal Behavior 139 145 .
Vincent Chariatte, André Berchtold, Christina Akré, Pierre-André Michaud & Joan-Carles Suris. (2008) Missed Appointments in an Outpatient Clinic for Adolescents, an Approach to Predict the Risk of Missing. Journal of Adolescent Health 43:1, pages 38-45.
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Gilbert Ritschard & Michel Oris. (2005) Life Course Data In Demography And Social Sciences: Statistical And Data-Mining Approaches. Advances in Life Course Research 10, pages 283-314.
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André Berchtold & Gene Sackett. (2002) Markovian models for the developmental study of social behavior. American Journal of Primatology 58:3, pages 149-167.
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André Berchtold & Adrian Raftery. (2002) The Mixture Transition Distribution Model for High-Order Markov Chains and Non-Gaussian Time Series. Statistical Science 17:3.
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