We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty function and the performance of the estimate...

To overcome the curse of dimensionality, dimension reduction is important andnecessary for understanding the underlying phenomena in a variety of fields.Dimension reduction is the transformation of high-dimensional data into ameaningful representation in the low-dimensional space. It can be...

This paper presents the first full-fledged branch-and-price (bap) algorithm for the capacitated arc-routing problem (CARP). Prior exact solution techniques either rely on cutting planes or the transformation of the CARP into a node-routing problem. The drawbacks are either models with inherent...

In the period of investigation, 1995–2000, the Danish fishery for species meant for human consumption was managed by individual non-transferable vessel quotas, while the fishery for species meant for fishmeal and fish oil was subject to a total quota. The revenues of the fishermen targeting...

Farmland and capital are an important and rapidly expanding component of the agriculturaleconomy, and empirical evidence suggests that these assets are quasi-fixed in that adjustment costs are incurred when holdings are altered. Increased interest in the rate of return for investing in farmland...

Increasingly, state and local governments are promoting intergovernmental coordination, cooperation, and/or outright consolidation (3Cs) based on the perceived economies of scale advantages of such joint actions. However, the growing public finance and political science literature on...