UB Paderborn / Katalog / Suche / in CDI

A Review of Electric Vehicle Load Open Data and Models

Energies (Basel), 2021-04, Vol.14 (8), p.2233

2021

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Concentration Inequalities and Model Selection: Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003

2007 edition., 2007

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Minimal penalties for Gaussian model selection

Probability theory and related fields, 2007-05, Vol.138 (1-2), p.33-73

2007

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Statistical Performance of Support Vector Machines

The Annals of statistics, 2008-04, Vol.36 (2), p.489-531

2008

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About the Constants in Talagrand's Concentration Inequalities for Empirical Processes

The Annals of probability, 2000-04, Vol.28 (2), p.863-884

Massart, Pascal

2000

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A high-dimensional Wilks phenomenon

Probability theory and related fields, 2011-08, Vol.150 (3-4), p.405-433

2011

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Concentration inequalities using the entropy method

The Annals of probability, 2003-07, Vol.31 (3), p.1583-1614

2003

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Risk bounds for model selection via penalization

Probability theory and related fields, 1999-02, Vol.113 (3), p.301-413

1999

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Data-driven calibration of penalties for least-squares regression

Journal of machine learning research, 2009-02, Vol.10, p.245-279

2009

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Risk Bounds for Statistical Learning

The Annals of statistics, 2006-10, Vol.34 (5), p.2326-2366

2006

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Estimator Selection: a New Method with Applications to Kernel Density Estimation

Sankhya A, 2017-08, Vol.79 (2), p.298-335

2017

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Risk bounds for PU learning under Selected At Random assumption

Journal of machine learning research, 2023-01, Vol.24 (107), p.1-31

2023

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Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting

IEEE transactions on smart grid, 2020-05, Vol.11 (3), p.1895-1904

2020

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Minimal penalty for Goldenshluger–Lepski method

Stochastic processes and their applications, 2016-12, Vol.126 (12), p.3774-3789

2016

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Numerical performance of penalized comparison to overfitting for multivariate kernel density estimation

Probability and statistics, 2023, Vol.27, p.621-667

2023

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Least Angle Regression

The Annals of statistics, 2004-04, Vol.32 (2), p.407-451

2004

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Rates of convergence for minimum contrast estimators

Probability theory and related fields, 1993-03, Vol.97 (1-2), p.113-150

1993

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The Lasso as an ℓ1-ball model selection procedure

Electronic journal of statistics, 2011-01, Vol.5 (none)

2011

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Rates of convergence for robust geometric inference

Electronic journal of statistics, 2016-01, Vol.10 (2)

2016

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Moment Inequalities for Functions of Independent Random Variables

The Annals of probability, 2005-03, Vol.33 (2), p.514-560

2005

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Concentration Inequalities Using the Entropy Method

The Annals of probability, 2003-07, Vol.31 (3), p.1583-1614

2003

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Minimum Contrast Estimators on Sieves: Exponential Bounds and Rates of Convergence

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 1998-09, Vol.4 (3), p.329-375

1998

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Discussion: Local Rademacher Complexities and Oracle Inequalities in Risk Minimization

The Annals of statistics, 2006-12, Vol.34 (6), p.2664-2671

2006

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Strong Approximation for Multivariate Empirical and Related Processes, Via KMT Constructions

The Annals of probability, 1989-01, Vol.17 (1), p.266-291

Massart, Pascal

1989

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On concentration of self-bounding functions

Electronic journal of probability, 2009-01, Vol.14 (none)

2009

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A Review of Electric Vehicle Load Open Data and Models

Concentration Inequalities and Model Selection: Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003

Minimal penalties for Gaussian model selection

Statistical Performance of Support Vector Machines

About the Constants in Talagrand's Concentration Inequalities for Empirical Processes

A high-dimensional Wilks phenomenon

Concentration inequalities using the entropy method

Risk bounds for model selection via penalization

Data-driven calibration of penalties for least-squares regression

Risk Bounds for Statistical Learning

Estimator Selection: a New Method with Applications to Kernel Density Estimation

Risk bounds for PU learning under Selected At Random assumption

Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting

Minimal penalty for Goldenshluger–Lepski method

Numerical performance of penalized comparison to overfitting for multivariate kernel density estimation

Least Angle Regression

Rates of convergence for minimum contrast estimators

The Lasso as an ℓ1-ball model selection procedure

Rates of convergence for robust geometric inference

Moment Inequalities for Functions of Independent Random Variables

Concentration Inequalities Using the Entropy Method

Minimum Contrast Estimators on Sieves: Exponential Bounds and Rates of Convergence

Discussion: Local Rademacher Complexities and Oracle Inequalities in Risk Minimization

Strong Approximation for Multivariate Empirical and Related Processes, Via KMT Constructions

On concentration of self-bounding functions

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