Probability and Statistical Models
review these basics;
discuss more advanced; topics needed in our empirical study of financial markets data such as random vectors, covariance matrices, best linear prediction, heavy-tailed distributions, maximum likelihood estimation, and likelihood ratio tests;
provide glimpses of how probability and statistics are applied to finance problems in this book; and
introduce notation that is used throughout the book.
KeywordsCovariance Income Posite Eter Nite
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