A persistent controversy in the economics of higher education is the distributional consequences of tuition-fee subsidies. There are two points at issue. First, subsidies affect income distribution between rich and poor households, analyzed by cross-sectional studies. Second, there may also be long-run effects on income distribution, i.e., toward graduates who benefited from public higher educa...

This paper deals with the combination of classification models that have been derived from running different (heterogeneous) learning algorithms on the same data set. We focus on the Classifier Evaluation and Selection (ES) method, that evaluates each of the models (typically using 10-fold cross-validation) and selects the best one. We examine the performance of this method in comparison with t...

We show how to employ leave-K-out cross-validation in Unsupervised Kernel Regression, a recent method for learning of nonlinear manifolds. We thereby generalize an already present regularization method, yielding more flexibility without additional computational cost. We demonstrate our method on both toy and real data.

Consider two multi-dimensional digital signals, each with Ns samples. For some number of lags N l Ns, the cost of computing a single cross-correlation function of these two signals is proportional to Ns × N l. By exploiting several properties of Gaussian windows, we can compute Ns local cross-correlation functions, again with computational cost proportional to Ns × N l. Here, local means the cr...

This paper proposes a high-accuracy rotation estimation algorithm using 1D Phase-Only Correlation (POC). In general, the rotation angle between two images is estimated as follows: (i) convert the image rotation into the image shift by polar mappings of the amplitude spectra of images, and (ii) estimate the translational displacement between the polar mappings to obtain the rotation angle. The p...

The cross-efficiency method, as a Data Envelopment Analysis (DEA) extension, calculates the cross efficiency of each decision making unit (DMU) using the weights of all decision making units (DMUs). The major advantage of the cross-efficiency method is that it can provide a complete ranking for all DMUs. In addition, the cross-efficiency method could eliminate unrealistic weight results. Howeve...

The Pareto-like tail of the size distribution of firms can arise from random growth of productivity or stochastic accumulation of capital. If the shocks that give rise to firm growth are perfectly correlated within a firm, then the growth rates of small and large firms are equally volatile, contrary to what is found in the data. If firm growth is the result of many independent shocks within a f...

Cross-efficiency evaluation has been suggested as an alternative method of efficiency evaluation and ranking in Data Envelopment Analysis (DEA) based on peer evaluation logic. A factor that possibly reduces the usefulness of the cross-efficiency evaluation is that cross-efficiency scores may not be unique due to the presence of alternative optima. As a result, it is recommended that secondary g...

In this paper we study the use of cross correlations between multiple gravitational wave (GW) data streams for detecting long-lived periodic signals. Cross-correlation searches between data from multiple detectors have traditionally been used to search for stochastic GW signals, but recently they have also been used in directed searches for periodic GWs. Here we further adapt the cross-correlat...