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Mathematical Learning Models — Theory and Algorithms
This volume contains most of the contributions presented at the conference "Mathematical Learning Models - Theory and Algorithms". The conference was organized by the Institute of …
Nonparametric Curve Estimation from Time Series
Because of the sheer size and scope of the plastics industry, the title Developments in Plastics Technology now covers an incredibly wide range of subjects or topics. No single …
GLIM 82: Proceedings of the International Conference on Generalised Linear Models
This volume of Lecture Notes in Statistics consists of the published proceedings of the first international conference to be held on the topic of generalised linear models. This …
Exponential Family Nonlinear Models
This book gives a comprehensive introduction to exponential family nonlinear models, which are the natural extension of generalized linear models and normal nonlinear regression …
Majorization and the Lorenz Order: A Brief Introduction
My interest in majorization was first spurred by Ingram aIkin's proclivity for finding Schur convex functions lurking in the problem section of every issue of the American …
Random Coefficient Autoregressive Models: An Introduction
In this monograph we have considered a class of autoregressive models whose coefficients are random. The models have special appeal among the non-linear models so far considered in …
Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion
This book is devoted to a number of stochastic models that display scale invariance. It primarily focuses on three issues: probabilistic properties, statistical estimation and …
Statistical Applications of Jordan Algebras
This monograph brings together my work in mathematical statistics as I have viewed it through the lens of Jordan algebras. Three technical domains are to be seen: applications to …
Higher Order Asymptotic Theory for Time Series Analysis
The initial basis of this book was a series of my research papers, that I listed in References. I have many people to thank for the book's existence. Regarding higher order …
Linear Regression
In linear regression the ordinary least squares estimator plays a central role and sometimes one may get the impression that it is the only reasonable and applicable estimator …
The Weighted Bootstrap
INTRODUCTION 1) Introduction In 1979, Efron introduced the bootstrap method as a kind of universal tool to obtain approximation of the distribution of statistics. The now well …