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Sampling hierarchies of discrete random structures
Lijoi, Antonio; Prünster, Igor; Rigon, Tommaso - 2020
Persistent link: https://www.econbiz.de/10012512412
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Testing for self-excitation in jumps
Boswijk, Herman Peter; Laeven, Roger J. A.; Yang, Xiye - In: Journal of econometrics 203 (2018) 2, pp. 256-266
Persistent link: https://www.econbiz.de/10011974668
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Improving MCMC Using Efficient Importance Sampling
Liesenfeld, Roman; Richard, Jean-Francois - 2006
This paper develops a systematic Markov Chain Monte Carlo (MCMC) framework based upon Efficient Importance Sampling … solution. EIS is a simple, generic and yet accurate Monte-Carlo integration procedure based on sampling densities which are … MCMC components such as auxiliary sampling densities, normalizing constants and starting values. The potential of this …
Persistent link: https://www.econbiz.de/10014058202
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Nonparametric inference of discretely sampled stable Lévy processes
Zhao, Zhibiao; Wu, Wei Biao - In: Journal of econometrics 153 (2009) 1, pp. 83-92
Persistent link: https://www.econbiz.de/10003892656
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Inference for best linear approximations to set identified functions
Chandrasekhar, Arun; Chernozhukov, Victor; Molinari, … - 2012
region of the parameters of the best linear approximation is characterized via its support function, and limit theory is …
Persistent link: https://www.econbiz.de/10009692055
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Efficient asymptotic variance reduction when estimating volatility in high frequency data
Clinet, Simon; Potiron, Yoann - In: Journal of econometrics 206 (2018) 1, pp. 103-142
Persistent link: https://www.econbiz.de/10012110370
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Stochastic billiards for sampling from the boundary of a convex set
Dieker, A. B.; Vempala, Santosh S. - In: Mathematics of operations research 40 (2015) 4, pp. 888-901
Persistent link: https://www.econbiz.de/10011408940
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Improving MCMC using efficient importance sampling
Liesenfeld, Roman (contributor);  … - 2006
This paper develops a systematic Markov Chain Monte Carlo (MCMC) framework based upon Efficient Importance Sampling … solution. EIS is a simple, generic and yet accurate Monte-Carlo integration procedure based on sampling densities which are … MCMC components such as auxiliary sampling densities, normalizing constants and starting values. The potential of this …
Persistent link: https://www.econbiz.de/10003327173
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Stochastische Überlagerung mit Hilfe der Mischungsverteilung : Schätzung linearer (Panel-)Modelle auf Basis anonymisierter Daten
Ronning, Gerd - 2009
Die Arbeit betrachtet die Auswirkungen von additiver und multiplikativer Überlagerung mit Messfehlern auf die Schätzung linearer Modelle. Dabei erfolgt diese Überlagerung geplant mit dem Ziel der Anonymsierung von Mikrodaten. Im Mittelpunkt steht die Überlagerung mittels einer (bimodalen)...
Persistent link: https://www.econbiz.de/10003867598
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GLS-detrending and regime-wise stationarity testing in small samples
Lopez, Claude - In: Economics letters 104 (2009) 2, pp. 99-101
Persistent link: https://www.econbiz.de/10003870503