Juraj Medzihorsky

Year of Enrollment: 
Departmental Affiliation: 
Political Science

My subfields are Methods and Comparative Politics. In my dissertation I propose new applications of the Rudas-Clogg–Lindsay mixture index of fit and log-linear models that improve inferences in several areas of substantive research in political science. These include problems from electoral research–detection of electoral fraud from digit distributions, allocations of seats according to votes, territorial variability of electoral support and competition, and analysis of voter transitions with aggregate data–as well as analysis of roll call data in the study of legislative politics, and statistical analysis of political text. My research interests include also Bayesian inference and text analysis.


Ph.D., Political Science, Central European University
M.A., Political Science, Central European University
Mgr., Political Science, Comenius University, Bratislava, Slovakia

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