High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series
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Uniform error bounds for smoothing splines

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000879 ◽

2006 ◽

pp. 220-237 ◽

Author(s):

P. P. B. Eggermont ◽

V. N. LaRiccia

Keyword(s):

Error Bounds ◽

Smoothing Splines ◽

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Binomial upper bounds on generalized moments and tail probabilities of (super)martingales with differences bounded from above

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000743 ◽

2006 ◽

pp. 33-52 ◽

Author(s):

Iosif Pinelis

Keyword(s):

Upper Bounds ◽

Tail Probabilities ◽

Generalized Moments

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Fractal properties of the random string processes

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000806 ◽

2006 ◽

pp. 128-147 ◽

Author(s):

Dongsheng Wu ◽

Yimin Xiao

Keyword(s):

Random String ◽

Fractal Properties

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A new concentration result for regularized risk minimizers

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000897 ◽

2006 ◽

pp. 260-275 ◽

Author(s):

Ingo Steinwart ◽

Don Hush ◽

Clint Scovel

Keyword(s):

Concentration Result

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Stochastic integrals and asymptotic analysis of canonical von Mises statistics based on dependent observations

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000725 ◽

2006 ◽

pp. 1-17 ◽

Author(s):

Igor S. Borisov ◽

Alexander A. Bystrov

Keyword(s):

Asymptotic Analysis ◽

Stochastic Integrals ◽

Dependent Observations ◽

Von Mises ◽

Von Mises Statistics

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Empirical and Gaussian processes on Besov classes

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000842 ◽

2006 ◽

pp. 185-195 ◽

Author(s):

Richard Nickl

Keyword(s):

Gaussian Processes

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Invariance principle for stochastic processes with short memory

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000734 ◽

2006 ◽

pp. 18-32 ◽

Author(s):

Magda Peligrad ◽

Sergey Utev

Keyword(s):

Stochastic Processes ◽

Invariance Principle ◽

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Fractional Brownian fields, duality, and martingales

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000770 ◽

2006 ◽

pp. 77-95 ◽

Author(s):

Vladimir Dobrić ◽

Francisco M. Ojeda

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Random walk models associated with distributed fractional order differential equations

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000798 ◽

2006 ◽

pp. 117-127 ◽

Author(s):

Sabir Umarov ◽

Stanly Steinberg

Keyword(s):

Random Walk ◽

Differential Equations ◽

Fractional Order ◽

Fractional Order Differential Equations

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Preface

High Dimensional Probability - Institute of Mathematical Statistics Lecture Notes - Monograph Series ◽

10.1214/074921706000000905 ◽

2006 ◽

pp. v-vi

Author(s):

Evarist Giné ◽

Vladimir Koltchinskii ◽

Wenbo Li ◽

Joel Zinn

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