We propose adaptive incremental mixture Markov chain Monte Carlo (AIMM), a novel approach to sample from challenging probability distributions defined on a general state-space. While adaptive MCMC met
Projeto FAPESP (2022/09091-8) - "Criminalidade, Insegurança e Legitimidade: uma abordagem transdisciplinar" (CIL) - Observatório da Legitimidade Democrática (OBLED)Núcleo de Estudos da Violência - Uni
Under what conditions are international election observers more likely to improve election quality? Existing research has resulted in mixed findings about the effects of international observers on ele