ROBERT A AGNEW
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Marketing Analytics
Very large marketing optimization problems (generalized assignment problems) can be solved via a collapsed dual approach.  Not only is this method computationally efficient, but the dual solution provides an upper bound on the primal objective function and results are invariably close to optimum.  No special solver is required.  As illustrated in our R-script, an ordinary nonlinear optimization function does the job nicely.
 

Dual Solution of a Large Marketing Optimization Problem

Marketing Optimization R-Script
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Estimation of Treatment Effect

Selected Publications


Confidence Sets for Binary Response Models

Econometric Forecasting via Discounted Least Squares

Finite Statistical Games & Linear Programming


Income Inequality and Taxation

Inequalities with Application in Economic Risk Analysis

Inequalities with Application in Retail Inventory Analysis

Multivariate Version of a Jensen-Type Inequality

Generalized Multivariate Jensen-Type Inequality

Maximization of Long-Run Average Rate-of-Return by Stochastic Approximation

On the Superposition of Point Processes

On the TEAM Approach to Investing

On the Two-Envelope or Two-Box Paradox

Optimal Congressional Apportionment
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Sequential Bid Selection by Stochastic Approximation


Shapley Value and Income Taxation


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