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Modelling persistent stationary processes in continuous time
Jeong, Minsoo - In: Economic modelling 109 (2022), pp. 1-12
Persistent link: https://www.econbiz.de/10013348235
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Markov risk mappings and risk-sensitive optimal prediction
Kosmala, Tomasz; Martyr, Randall; Moriarty, John - In: Mathematical methods of operations research : ZOR 97 (2023) 1, pp. 91-116
Persistent link: https://www.econbiz.de/10014227386
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Predicting the time of the ultimate maximum for Brownian motion with drift
Du Toit, Jacques; Peskir, Goran - In: Mathematical control theory and finance, (pp. 95-112). 2008
Persistent link: https://www.econbiz.de/10003755583
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Prediction of protein interdomain linker regions by a nonstationary hidden Markov model
Bae, Kyounghwa; Mallick, Bani K.; Elsik, Christine G. - In: Journal of the American Statistical Association : JASA 103 (2008) 483, pp. 1085-1099
Persistent link: https://www.econbiz.de/10003773096
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On the forecasting of economic time series : structural versus data-based approaches
Wang, Mu-Chun - 2009 - 1. ed.
Persistent link: https://www.econbiz.de/10003868101
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l 1 - penalized likelihood smoothing of volatility processes allowing for abrupt changes
Neto, David; Sardy, Sylvain; Tseng, Paul - 2009
Persistent link: https://www.econbiz.de/10003926975
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Bayesian inference for a periodic stochastic volatility model of intraday electricity prices
Smith, Michael Stanley - In: Statistical modelling and regression structures : …, (pp. 353-376). 2010
Persistent link: https://www.econbiz.de/10003964500
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Examining realized volatility regimes under a threshold stochastic volatility model
Xu, Dinghai - In: International journal of finance & economics : IJFE 17 (2012) 4, pp. 373-389
Persistent link: https://www.econbiz.de/10009689475
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Scientific stochastic volatility models for the European carbon markets : forecasting and extracting conditional moments
Solibakke, Per Bjarte - In: International journal of business 19 (2014) 1, pp. 63-98
Persistent link: https://www.econbiz.de/10010344777
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Hidden Markov model for municipal waste generation forecasting under uncertainties
Jiang, P.; Liu, X. - In: European journal of operational research : EJOR 250 (2016) 2, pp. 639-651
Persistent link: https://www.econbiz.de/10011441731