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The normal approximation rate for the drift estimator of multidimensional diffusions
Bianchi, Annamaria - In: Statistical Inference for Stochastic Processes 12 (2009) 3, pp. 251-268
Persistent link: https://www.econbiz.de/10008491580
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Penalized maximum likelihood estimation for a function of the intensity of a Poisson point process
Dias, Ronaldo; Ferreira, Clécio; Garcia, Nancy - In: Statistical Inference for Stochastic Processes 11 (2008) 1, pp. 11-34
Persistent link: https://www.econbiz.de/10005184568
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Nonparametric Estimation of Regression Functions in Point Process Models
Döhler, Sebastian; Rüschendorf, Ludger - In: Statistical Inference for Stochastic Processes 6 (2003) 3, pp. 291-307
Persistent link: https://www.econbiz.de/10005184580
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Estimating the Diffusion Coefficient for Diffusions Driven by fBm
León, José; Ludeña, Carenne - In: Statistical Inference for Stochastic Processes 3 (2000) 1, pp. 183-192
Persistent link: https://www.econbiz.de/10005184587
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A Nonparametric Estimation Problem From Indirect Observations
Lababidi, Samir - In: Statistical Inference for Stochastic Processes 6 (2003) 1, pp. 15-24
Persistent link: https://www.econbiz.de/10005184597
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Efficient Density Estimation for Ergodic Diffusion Processes
Kutoyants, Yu. - In: Statistical Inference for Stochastic Processes 1 (1998) 2, pp. 131-155
Persistent link: https://www.econbiz.de/10005391490
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Nonparametric Inference for a Class of Stochastic Partial Differential Equations II
Rao, B. - In: Statistical Inference for Stochastic Processes 4 (2001) 1, pp. 41-52
Persistent link: https://www.econbiz.de/10005391491
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Can We Estimate the Density's Derivative with Suroptimal Rate?
Lucas, A. - In: Statistical Inference for Stochastic Processes 1 (1998) 1, pp. 29-41
Persistent link: https://www.econbiz.de/10005391494
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On Estimating a Dynamic Function of a Stochastic System with Averaging
Liptser, R.; Spokoiny, V. - In: Statistical Inference for Stochastic Processes 3 (2000) 3, pp. 225-249
Persistent link: https://www.econbiz.de/10005391507
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Nonparametric Estimation for Gibbs Random Fields Specified Through One‐Point Systems
Dachian, S. - In: Statistical Inference for Stochastic Processes 1 (1998) 3, pp. 245-264
Persistent link: https://www.econbiz.de/10005169117