Empirical Likelihood and Quantile Methods for Time Series

Discover the innovative approach to statistical inference in "Empirical Likelihood and Quantile Methods for Time Series" by Yan Liu, published by Springer Verlag in 2018. This insightful book spans 136 pages and delves into the essentials of asymptotic theory specifically tailored for time series analysis under nonstandard conditions, such as infinite variance processes. Liu emphasizes not only the efficiency of these methods but also their robustness and optimality, focusing on minimizing prediction errors. Ideal for statisticians and researchers, this book serves as a comprehensive guide to understanding complex time series data. Enhance your statistical toolkit with this essential read that bridges theory and application in the field of time series analysis.