Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics
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Published By Springer New York

9780387985909, 9781461217183

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The local time density estimator

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_7 ◽

1998 ◽

pp. 145-167

Author(s):

D. Bosq

Keyword(s):

Local Time ◽

Density Estimator ◽

Time Density

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Synopsis

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_1 ◽

1998 ◽

pp. 1-15 ◽

Cited By ~ 3

Author(s):

D. Bosq

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Regression estimation and prediction for discrete time processes

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_4 ◽

1998 ◽

pp. 67-87 ◽

Cited By ~ 7

Author(s):

D. Bosq

Keyword(s):

Discrete Time ◽

Regression Estimation ◽

Estimation And Prediction

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Density estimation for discrete time processes

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_3 ◽

1998 ◽

pp. 41-65 ◽

Cited By ~ 1

Author(s):

D. Bosq

Keyword(s):

Density Estimation ◽

Discrete Time

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Inequalities for mixing processes

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_2 ◽

1998 ◽

pp. 17-39

Author(s):

D. Bosq

Keyword(s):

Mixing Processes

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Regression estimation and prediction in continuous time

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_6 ◽

1998 ◽

pp. 129-144

Author(s):

D. Bosq

Keyword(s):

Continuous Time ◽

Regression Estimation ◽

Estimation And Prediction

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Kernel density estimation for continuous time processes

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_5 ◽

1998 ◽

pp. 89-128 ◽

Cited By ~ 1

Author(s):

D. Bosq

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Continuous Time ◽

Kernel Density ◽

Continuous Time Processes

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Implementation of nonparametric method and numerical applications

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1718-3_8 ◽

1998 ◽

pp. 169-195

Author(s):

D. Bosq

Keyword(s):

Nonparametric Method

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Nonparametric Statistics for Stochastic Processes - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

The local time density estimator

Synopsis

Regression estimation and prediction for discrete time processes

Density estimation for discrete time processes

Inequalities for mixing processes

Regression estimation and prediction in continuous time

Kernel density estimation for continuous time processes

Implementation of nonparametric method and numerical applications

Nonparametric Statistics for Stochastic Processes - Lecture Notes in Statistics
Latest Publications