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Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are now collected together in this comprehensive reference. Because these distributions are becoming more prominent in many applications, this book is a must for any serious researcher or consultant working in multivariate analysis and statistical distributions. Much of this material has never before appeared in book form. The first part of the book emphasizes theoretical results of a probabilistic nature. In the second part of the book, these are supplemented by a variety of statistical aspects. Various generalizations and applications are dealt with in the final chapters. The material on estimation and regression models is of special value for practitioners in statistics and economics. A comprehensive bibliography of over 350 references is included.

Multivariate analysis --- Distribution (Probability theory) --- Analyse multivariée --- Distribution (Théorie des probabilités) --- Multivariate analysis. --- Distribution (Probability theory). --- Analyse multivariée --- Distribution (Théorie des probabilités) --- Mathematical Sciences --- Probability --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices

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A down-to-earth survey of the theory and practice of extreme value distributions - one of the most prominent success stories of modern applied probability and statistics. It should be useful both to beginners with a limited probabilistic background as well as to experts in the field.

Extreme value theory. --- Distribution (Probability theory) --- Random variables

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Blockchain and cryptocurrencies have recently captured the interest of academics and those in industry. Cryptocurrencies are essentially digital currencies that use blockchain technology and cryptography to facilitate secure and anonymous transactions. The cryptocurrency market is currently worth over $500 billion. Many institutions and countries are starting to understand and implement the idea of cryptocurrencies in their business models. This Special Issue will provide a collection of papers from leading experts in the area of blockchain and cryptocurrencies. The topics covered in this Special Issue will include but are not limited to the following: academic research on blockchain and cryptocurrencies; industrial applications of blockchain and cryptocurrencies; applications of fintech in academia and industry; the economics of blockchain technology, and the financial analysis and risk management with cryptocurrencies.

Technology: general issues --- cryptocurrencies --- connectedness --- spill overs --- spectral analysis --- time-frequency-dynamic --- Bitcoin --- cryptocurrency --- spillover risks --- Copulas --- Student’s-t --- survey --- bitcoin --- efficient market hypothesis --- ARIMA --- artificial neural network --- static forecast --- contagion effect --- detrended cross-correlation analysis --- liquidity --- Ethereum --- market liquidity --- Hurst exponent --- high frequency --- fraud --- algorithms --- correlations --- impact --- risks --- regulation --- blockchain --- autoregression --- time-series analysis --- simulation --- predictive modes --- endogenous --- exogenous variables --- Blockchain --- Cryptocurrencies --- Digital Currencies --- Risk management --- Financial analysis

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Blockchain and cryptocurrencies have recently captured the interest of academics and those in industry. Cryptocurrencies are essentially digital currencies that use blockchain technology and cryptography to facilitate secure and anonymous transactions. The cryptocurrency market is currently worth over $500 billion. Many institutions and countries are starting to understand and implement the idea of cryptocurrencies in their business models. This Special Issue will provide a collection of papers from leading experts in the area of blockchain and cryptocurrencies. The topics covered in this Special Issue will include but are not limited to the following: academic research on blockchain and cryptocurrencies; industrial applications of blockchain and cryptocurrencies; applications of fintech in academia and industry; the economics of blockchain technology, and the financial analysis and risk management with cryptocurrencies.

Technology: general issues --- cryptocurrencies --- connectedness --- spill overs --- spectral analysis --- time-frequency-dynamic --- Bitcoin --- cryptocurrency --- spillover risks --- Copulas --- Student’s-t --- survey --- bitcoin --- efficient market hypothesis --- ARIMA --- artificial neural network --- static forecast --- contagion effect --- detrended cross-correlation analysis --- liquidity --- Ethereum --- market liquidity --- Hurst exponent --- high frequency --- fraud --- algorithms --- correlations --- impact --- risks --- regulation --- blockchain --- autoregression --- time-series analysis --- simulation --- predictive modes --- endogenous --- exogenous variables --- Blockchain --- Cryptocurrencies --- Digital Currencies --- Risk management --- Financial analysis --- cryptocurrencies --- connectedness --- spill overs --- spectral analysis --- time-frequency-dynamic --- Bitcoin --- cryptocurrency --- spillover risks --- Copulas --- Student’s-t --- survey --- bitcoin --- efficient market hypothesis --- ARIMA --- artificial neural network --- static forecast --- contagion effect --- detrended cross-correlation analysis --- liquidity --- Ethereum --- market liquidity --- Hurst exponent --- high frequency --- fraud --- algorithms --- correlations --- impact --- risks --- regulation --- blockchain --- autoregression --- time-series analysis --- simulation --- predictive modes --- endogenous --- exogenous variables --- Blockchain --- Cryptocurrencies --- Digital Currencies --- Risk management --- Financial analysis