Random Toeplitz Functionals and Their Applications (Frontiers in Probability and the Statistical Sciences)

Pseudo-Hermitian Random Matrices

Springer

Pseudo-Hermitian Random Matrices

Statistical Modeling and Applications (Emerging Topics in Statistics and Biostatistics)

Frontiers in Genetics Algorithm Theory and Applications (Springer Tracts in Nature-Inspired Computing)

Springer

Counting Statistics for Dependent Random Events: With a Focus on Finance

Quantum Nonlinear Function Obfuscation Theory and Application

Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization)

Springer

Recent Developments of Fuzzy Matrix Theory and Applications

From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes (Frontiers in Probability and the Statistical Sciences)

Springer

Topic Modeling: Advanced Techniques and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Hidden Markov Processes and Adaptive Filtering (Springer Series in Statistics)

Variational Analysis of Regular Mappings: Theory and Applications (Springer Monographs in Mathematics)

Springer

Nonlinear Systems of Fractional Differential Equations

Terahertz Time Domain Spectroscopy: Technology and Applications

Multivariate Statistics and Machine Learning in R For Beginners: With Applications in Biology and Medicine

Springer

Information Theory and Selected Applications

Geometric Mechanics and Its Applications

Advances in Nonlinear Dynamics and its Applications (Industrial and Applied Mathematics)

Persistent Homology and Discrete Fourier Transform: An Application to Topological Musical Data Analysis (Computational Music Science)

Frontiers in Nature-Inspired Industrial Optimization (Springer Tracts in Nature-Inspired Computing)

Wavelet Packets and Their Statistical Applications (Forum for Interdisciplinary Mathematics)

Springer

Topological Spaces and Their Applications

Probabilistic Topic Models: Foundation and Application

Springer

Covariance Analysis and Beyond

Springer