Similar Search Results

Forecast density combinations with dynamic learning for large data sets in economics and finance

Casarin, Roberto; Grassi, Stefano; Ravazzollo, Francesco; … - 2019

A flexible forecast density combination approach is introduced that can deal with large data sets. It extends the mixture of experts approach by allowing for model set incompleteness and dynamic learning of combination weights. A dimension reduction step is introduced using a sequential...

Persistent link: https://www.econbiz.de/10011989086

Learning to average predictively over good and bad : comment on : using stacking to average Bayesian predictive distributions

Hoogerheide, Lennart; Dijk, Herman K. van - 2018

We suggest to extend the stacking procedure for a combination of predictive densities, proposed by Yao, Vehtari, Simpson, and Gelman(2018), to a setting where dynamic learning occurs about features of predictive densities of possibly misspecified models. This improves the averaging process of...

Persistent link: https://www.econbiz.de/10011895574

The self-perception theory vs. a dynamic learning model

Swank, Otto H. - 2006

motivation may undermine intrinsic motivation. The self-perception (SP) theory developed by Bem (1972) explains this finding. The … crux of this theory is that people remember their past decisions and the extrinsic rewards they received, but they do not … recall their intrinsic motives. In this paper I show that the SP theory can be modeled as a variant of a conventional dynamic …

Persistent link: https://www.econbiz.de/10011349711

Assessing autonomous algorithmic collusion : Q-learning under short-run price commitments

Klein, Timo - 2018 - Revision: September 2018

A novel debate within competition policy and regulation circles is whether autonomous machine learning algorithms may learn to collude on prices. We show that when fims face short-run price commitments, independent Q-learning (a simple but well-established self-learning algorithm) learns to...

Persistent link: https://www.econbiz.de/10011869980

Continuous beliefs dynamics

Diks, Cees G. H.; Weide, Roy van der - 2002

We propose a general framework for studying the evolution ofheterogeneous beliefs in a dynamic feedback setting. Beliefsdistributions are defined on a continuous space representingthe possible strategies agents can choose from. Agents base theirchoices on past performances. As new information...

Persistent link: https://www.econbiz.de/10011333278