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Inference for Heavy-Tailed Data

scattered in different statistics journals. Inference for Heavy-Tailed Data Analysis puts these methods into a single place with a clear picture on;

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Advances in Heavy Tailed Risk Modeling

ADVANCES IN HEAVY TAILED RISK MODELING A cutting-edge guide for the theories, applications, and statistical methodologies essential to;

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Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling

Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk;

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Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management

The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the;

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Theoretical Aspects of Spatial-Temporal Modeling

explains how one may extend classical sequential Monte Carlo methods for filtering and static inference problems to high dimensions and big-data;

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Handbook of Heavy Tailed Distributions in Finance

volumes in various areas of finance. The Handbook of Heavy Tailed Distributions in Finance is the first handbook to be published in this series.

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Statistics And Finance

Kong in July 1999. Topics covered include heavy-tailed and nonlinear continuous-time ARMA models for financial time series, and forecast;

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Asymptotic Analysis of Random Walks

deviation theory for heavy-tailed random walks. Most of the results presented in the book are appearing in a monograph for the first time. Many;

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Diagnostic Methods in Time Series

nuisance parameter are elucidated in terms of Fisher-information matrices. A robust testing procedure against heavy-tailed time series models;

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Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make;

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Multisensor Fusion Estimation Theory and Application

consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily;

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Fundamental Statistical Inference

Point Estimation and Bias Reduction; Analytic Interval Estimation; Inference in a Heavy-Tailed Context; The Method of Indirect Inference; and;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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Statistical Inference for Engineers and Data Scientists

in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable;

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Aspects of Statistical Inference

expansions, matrices, integrals, and distribution theory Here is the ultimate data-based text for comparing and presenting the latest approaches to;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Risk Theory

'Heavy-tailed risk modelling plays a central role in modern risk theory; within this perspective, the book provides an excellent guide;

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Stochastic Processes and Related Topics

. Issues covered include: results in heavy-tailed processes, the central limit problem; comparison and deviation problems; and probability and;

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Biology and Management of White-tailed Deer

Book Award for 2011! Winner of a CHOICE Outstanding Academic Title Award for 2011! Biology and Management of White-tailed Deer organizes;

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Ruin Probabilities

, the Cramer-Lundberg approximation, exact solutions, other approximations (e.g., for heavy-tailed claim size distributions), finite horizon;

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Ruin Probabilities

, the Cramer-Lundberg approximation, exact solutions, other approximations (e.g., for heavy-tailed claim size distributions), finite horizon;

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Soft Computing with NeuroFuzzy Systems

neuro-fuzzy systems, describing adaptive neuro-fuzzy logic system for heavy metal sorption in aquatic environments; automatic heart disease;

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Statistics And Data Analysis

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the;

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Probability

topics such as risk theory and applications, Laplace distributions which describe the heavy-tailed noise, Poisson sums having applications;

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