Cause and Effect Business Analytics: For Big and Small Data

ISBN-13: 9781482216479 / Angielski / Twarda / 2025 / 300 str.

Dominique Haughton; Jonathan Haughton; Victor S. Y. Lo

Spis treści

Introduction to causal business analytics. Review of common statistical/econometric and data mining techniques. Causal inference I. Causal inference II. Uplift (aka True-lift) analytics I. Uplift analytics II. Treatment optimization. Uplift analytics for non-random experiments. Causal analytics in time series I. Causal analytics in time series II. Structural Equation Modeling (SEM). Discussion and Summary.

O autorze

Dominique Haughton is affiliated with the Department of Mathematical Sciences, Bentley University, Waltham, Massachusetts.

Jonathan Haughton is affiliated with the Department of Economics, Suffolk University, Boston, Massachusetts.

Victor S.Y. Lo is affiliated with the Valente Center for Arts and Sciences, Bentley University, Waltham, Massachusetts, and also with a major financial institution in Massachusetts.