A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is
Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical
The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hun
This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic