Statistical Inference for Discrete Time Stochastic Processes

Bayesian Inference for Gene Expression and Proteomics

Working with sample data exploration and inference

Statistical inference : an integrated Bayesian/likelihood approach

Introduction to Empirical Processes and Semiparametric Inference

Introduction to linear models and statistical inference

Statistics for microarrays design, analysis, and inference

Handbook of applied econometrics and statistical inference

Applied time series analysis for the social sciences : specification, estimation, and inference

REPRESENTATIVE POINTS OF STATISTICAL DISTRIBUTIONS applications in statistical inference.

MODERN STATISTICS WITH R from wrangling and exploring data to inference and predictive modelling.

PROBABILITY MODELING AND STATISTICAL INFERENCE IN CANCER SCREENING