Results 231 to 240 of about 235,966 (268)
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Improving Stochastic Model Checking with Stochastic Bounds
2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 2006Stochastic model checking requires the computation of steady-state or transient distribution for finite or infinite Markov chains for the evaluation of some formulas implying probabilities. However the numerical analysis of Markov chains is much less efficient than the sophisticated algorithmic techniques such as MTBDD developed for the deterministic ...
Fourneau, Jean-Michel +2 more
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A Stochastic Simulation Approach to Model Selection for Stochastic Volatility Models
Communications in Statistics - Simulation and Computation, 2011Stochastic volatility models have been widely appreciated in empirical finance such as option pricing, risk management, etc. Recent advances of Markov chain Monte Carlo (MCMC) techniques made it possible to fit all kinds of stochastic volatility models of increasing complexity within Bayesian framework.
Yong Li, Zhong-Xin Ni, Jin-Guan Lin
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On calibration of stochastic and fractional stochastic volatility models
European Journal of Operational Research, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Milan Mrázek +2 more
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The Journal of the Acoustical Society of America, 2001
This study presents stochastic models of jitter. Jitter designates small, random, involuntary perturbations of the glottal cycle lengths. Jitter is a base-line phenomenon that may be observed in all voiced speech sounds. Knowledge of its properties is therefore relevant to the acoustic modeling, analysis, and synthesis of voice quality. Also, models of
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This study presents stochastic models of jitter. Jitter designates small, random, involuntary perturbations of the glottal cycle lengths. Jitter is a base-line phenomenon that may be observed in all voiced speech sounds. Knowledge of its properties is therefore relevant to the acoustic modeling, analysis, and synthesis of voice quality. Also, models of
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A Stochastic Programming Model
Econometrica, 1963zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On stochastic compartmental models
Journal of Mathematical Biology, 1989The statistical averaging of compartmental models with parameters being random processes is derived for the case of vanishing input and uniformly bounded input. The difference of resulting models is discussed.
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Stochastic Model Checking of the Stochastic Quality Calculus
2015The Quality Calculus uses quality binders for input to express strategies for continuing the computation even when the desired input has not been received. The Stochastic Quality Calculus adds generally distributed delays for output actions and real-time constraints on the quality binders for input.
Flemming Nielson +2 more
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2000
Summary: A stochastic epidemic model of SIS type has been investigated. For this, the corresponding Fokker-Planck equation has been solved for stationary or equilibrium transition probabilities. The spatial patterns of spread for the infectives for different transition stationary state probabilities have been obtained.
DAS, P., DE, S.
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Summary: A stochastic epidemic model of SIS type has been investigated. For this, the corresponding Fokker-Planck equation has been solved for stationary or equilibrium transition probabilities. The spatial patterns of spread for the infectives for different transition stationary state probabilities have been obtained.
DAS, P., DE, S.
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Delayed hepatitis B epidemic model with stochastic analysis
Chaos, Solitons and Fractals, 2021Abdullahi Yusuf +2 more
exaly
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay
Computers in Biology and Medicine, 2022Amir Khan +2 more
exaly