Modeling and Stochastic Learning for Forecasting in High Dimensions Other Books in This Series
Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data
2016
Branching Processes and Their Applications
2016
Bilinear Regression Analysis
2018
Theory and Application of Uniform Experimental Designs
2018
Analyzing Dependent Data with Vine Copulas
2019
Finite Form Representations for Meijer G and Fox H Functions
2019
Time Series Models
2022
Multivariate Reduced-Rank Regression
2022
Optimal Experimental Design
2023
Statistical Machine Learning for Engineering with Applications
2024
Linear Dimensionality Reduction
2025
Optimal Mixture Experiments
2014
Proceedings of the Fourth Seattle Symposium in Biostatistics: Clinical Trials
2012
Multivariate Nonparametric Methods with R
2010
Statistical Challenges in Modern Astronomy V
2012