Nonstationary non-Gaussian spatial data are common in many disciplines, including climate science, ecology, epidemiology, and social sciences. Examples include count data on disease incidence and b…
We examine the financial reporting quality of special purpose acquisition corporations (SPACs) following a successful merger. We compare a sample of SPACs with completed mergers from 2006 to 2020 t…
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is crucial for educ…
Doubly intractable distributions arise in many settings, for example, in Markov models for point processes and exponential random graph models for networks. Bayesian inference for these models is c…