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Guest editorial: special issue on experimentation in economics

Amman, Hans M.; Tucci, Marco Paolo - In: Computational economics 56 (2020) 3, pp. 599-600

Persistent link: https://www.econbiz.de/10012390412

How active is active learning : value function method versus an approximation method

Amman, Hans M.; Tucci, Marco Paolo - In: Computational economics 56 (2020) 3, pp. 675-693

Persistent link: https://www.econbiz.de/10012390421

Special issue: experimentation in economics

Amman, Hans M. (ed.); Tucci, Marco Paolo (ed.) - 2020

Persistent link: https://www.econbiz.de/10012390515

The parameter set in an adaptive control Monte Carlo experiment: Some considerations

Tucci, Marco P.; Kendrick, David A.; Amman, Hans M. - In: Journal of economic dynamics & control 34 (2010) 9, pp. 1531-1550

Persistent link: https://www.econbiz.de/10008640066

Expected Optimal Feedback with Time-Varying Parameters

Tucci, Marco P.; Kendrick, David A.; Amman, Hans M. - In: Computational economics 42 (2013) 3, pp. 351-371

Persistent link: https://www.econbiz.de/10010175550

The Nonconvexities Problem in Adaptive Control Models: A Simple Computational Solution

Tucci, Marco P. - In: Computational economics 12 (1998) 3, pp. 203-222

Persistent link: https://www.econbiz.de/10007060315

Understanding the Difference Between Robust Control and Optimal Control in a Linear Discrete-Time System with Time-Varying Parameters

Tucci, Marco P. - In: Computational economics 27 (2006) 4, pp. 533

Persistent link: https://www.econbiz.de/10007267714

Guest Editorial: Special Issue on Stochastic Optimization

Tucci, Marco P. - In: Computational economics 27 (2006) 4, pp. 431-432

Persistent link: https://www.econbiz.de/10007267719

A note on global optimization in adaptive control, econometrics and macroeconomics

Tucci, Marco P. - In: Journal of economic dynamics & control 26 (2002) 9, pp. 1739-1764

Persistent link: https://www.econbiz.de/10006768935

Chapter 1. Learning About Learning in Dynamic Economic Models

Kendrick, David A.; Amman, Hans M.; Tucci, Marco P. - In: Handbook of computational economics : volume 3, (pp. 1-35). 2014

This chapter of the Handbook of Computational Economics is mostly about research on active learning and is confined to discussion of learning in dynamic models in which the system equations are linear, the criterion function is quadratic, and the additive noise terms are Gaussian. Though there...

Persistent link: https://www.econbiz.de/10014025721