Time series

modeling, computation, and inferences

Focusing on Bayesian approaches and computations using up-to-date simulation-based methods for inference, "Time Series: Modeling, Computation, and Inference" integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time ...

Applied stochastic modelling

Highlighting modern computational methods, "Applied Stochastic Modelling, Second Edition" provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and improved figures ...