Ticket-splitting and strategic voting under mixed electoral rules: Evidence from Germany

"There is more to strategic voting than simply avoiding wasting one’s vote if one is liberated from the corset of studying voting behavior in plurality systems. Mixed electoral systems provide different voters with diverse incentives to cast a strategic vote.They not only determine the degree of strategic voting, but also the kind of strategies voters employ. Strategic voters employ either a wasted-vote or a coalition insurance strategy, but do not automatically cast their vote for large parties as the current literature suggest. This has important implications for the consolidation of party systems. Moreover, even when facing the same institutional incentives, voters vary in their proclivity to vote strategically." (author's abstract

Fluctuation scaling and covariance matrix of constituents’ flows on a bipartite graph

We investigate an association between a power-law relationship of constituents’ flows (mean versus standard deviation) and their covariance matrix on a directed bipartite network. We propose a Poisson mixture model and a method to infer states of the constituents’ flows on such a bipartite network from empirical observation without a priori knowledge on the network structure. By using a proposed parameter estimation method with high frequency financial data we found that the scaling exponent and simultaneous cross-correlation matrix have a positive correspondence relationship. Consequently we conclude that the scaling exponent tends to be 1/2 in the case of desynchronous (specific dynamics is dominant), and to be 1 in the case of synchronous (common dynamics is dominant)

Determining the probability of locating peaks using computerized peak-location methods in gamma-ray spectra as a function of the relative peak-area uncertainty

The probabilities of locating peaks with a high relative peak-area uncertainty were determined empirically with nine types of peak-location software used in laboratories engaged in gamma-ray spectrometry measurements. It was found that it is not possible to locate peaks with a probability of 0.95, when they have a relative peak-area uncertainty in excess of 50%. Locating peaks at these relatively high peak-area uncertainties with a probability greater than 0.95 is only possible in the library-driven mode, where the peak positions are supposed a-priori. The deficiencies of the library-driven mode and the possibilities to improve the probabilities of locating peaks are briefly discussed. © 2019 Elsevier Lt