Richard Nickl – författare

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5 produkter

1. 

   Mathematical Foundations of Infinite-Dimensional Statistical Models

   Av Richard Nickl, Evarist Gine

   E-bok, 2021

   783 kr

   Lägg i varukorg

   In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a …

2. 

   Mathematical Foundations of Infinite-Dimensional Statistical Models

   Av Evarist Giné, Richard Nickl

   Inbunden, 2015

   1628 kr

   Lägg i varukorg

   In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a …

3. 

   Mathematical Foundations of Infinite-Dimensional Statistical Models

   Av Evarist Giné, Richard Nickl

   Häftad, 2021

   797 kr

   Lägg i varukorg

   In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a …

4. 

   Mathematical Foundations of Infinite-Dimensional Statistical Models

   Av Richard Nickl, Evarist Gine

   E-bok, 2015

   1579 kr

   Lägg i varukorg

   In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a …

5. 

   Mathematical Foundations of Infinite-Dimensional Statistical Models

   Av Richard Nickl, Evarist Gine

   E-bok, 2015

   1614 kr

   Lägg i varukorg

   In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a …