Computational Genomics with R

Mixture Model-Based Classification

Handbook of Big Data Analytics

Topics in Applied Statistics

Bioinformatics Methods

Swarm Intelligence Methods for Statistical Regression

Computational Genomics with R

Computational Methods of Feature Selection

Bayesian Inference

Energy of Data and Distance Correlation

Mixture Model-Based Classification

Sparse Optimization Theory and Methods

Swarm Intelligence Methods for Statistical Regression

Basic Elements of Computational Statistics

Bayesian Inference

Topics in Applied Statistics

Handbook of Big Data Analytics

Multivariate Bonferroni-Type Inequalities

Supervised Learning

Spectral Feature Selection for Data Mining

Multivariate Bonferroni-Type Inequalities

Manifold Learning Theory and Applications

Handbook of Bayesian Variable Selection

Spectral Feature Selection for Data Mining

Handbook of Bayesian Variable Selection

Perfect Simulation

Machine Learning for Microbiome Statistics

Big and Complex Data Analysis

Sparse Optimization Theory and Methods

Big and Complex Data Analysis

Basic Elements of Computational Statistics

Matrices, Statistics and Big Data