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Market simulation using a probabilistic ideal vector model for conjoint data
Baier, Daniel; Gaul, Wolfgang - In: Conjoint measurement : methods and applications, (pp. 47-65). 2007
Persistent link: https://www.econbiz.de/10003544577
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Market simulation using a probabilistic ideal vector model for conjoint data
Baier, Daniel; Gaul, Wolfgang - In: Conjoint measurement : methods and applications, (pp. 97-120). 1999
Persistent link: https://www.econbiz.de/10001444668
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Conjoint analysis of option and volatility models : empirical evidence from recent financial upheavals in India
Singh, Vipul Kumar - In: Journal of emerging market finance 14 (2015) 3, pp. 258-289
Persistent link: https://www.econbiz.de/10011430608
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On the approximation of random variables by stochastic integrals with respect to semimartingales
Christopeit, Norbert - 1994
Persistent link: https://www.econbiz.de/10000891108
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The correlation integral and the independence of Gaussian and related processes
Dechert, W. Davis - 1994 - Rev
Persistent link: https://www.econbiz.de/10000896409
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Short-term demographic interactions in pre-census England : a stochastic differential equations approach
Bailey, Roy E.; Chambers, Marcus J. - 1993 - Rev
Persistent link: https://www.econbiz.de/10000859986
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Sharing stochastic trends
Pellegrini, Guido - 1992 - Rev
Persistent link: https://www.econbiz.de/10000861948
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The econometrics of stochastic volatility
Harvey, Andrew C.; Shephard, Neil G. - 1993
Persistent link: https://www.econbiz.de/10000865088
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Stochastic energy demand and the stabilization value of energy storage
Tsur, Yaʿaḳov; Zemel, Amos - 1993
Persistent link: https://www.econbiz.de/10000865880
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A time series model with periodic stochastic regime switching
Ghysels, Eric - 1993
Persistent link: https://www.econbiz.de/10000865918