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Markov switching model (in Russian) [PDF]
Quantile, 2013 We discuss the Markov switching model, one of most popular nonlinear time series models. This model involves switching between multiple structures that characterize different time series behaviors in different regimes, the switching mechanism being controlled by an unobservable variable that follows a Markov chain process.
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Trend in Markov Switching VAR Models
We consider deterministic time trends in Markov Switching Vector Autoregressive processes, and propose estimation of the parameters by using a modified Expectation-Maximization (EM) algorithm. Then we derive consistency and the asymptotic distribution of the obtained estimators.openaire +2 more sources
Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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Finite Mixture and Markov Switching Models
2006The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling.
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
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the Multi-State Markov Switching Model [PDF]
, 2003 In many real phenomena the behaviour of a certain variable, subjected to different regimes, depends on the state of other variables or the same variable observed in other subjects, so the knowledge of the state of the latter could be important to forecast the state of the former.
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The biofilm life cycle: expanding the conceptual model of biofilm formation
Nature Reviews Microbiology, 2022Karin Sauer +2 more
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Self-management: Enabling and empowering patients living with cancer as a chronic illness
Ca-A Cancer Journal for Clinicians, 2011Ruth McCorkle +2 more
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