Borek D. Puza

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This paper presents a Bayesian approach to the regression analysis of truncated data, with a focus on zero-truncated counts from the Poisson distribution. The approach provides inference not only on the regression coefficients but also on the total sample size and the parameters of the covariate distribution. The theory is applied to some illegal immigrant(More)
This paper focuses on constrained confidence intervals in the context of environmental time series studies where one seeks to ascertain the effects of ambient air pollution on human mortality. If the regression parameter representing such effects is non-negative, corresponding to a belief that more pollution cannot be beneficial, a desirable goal is to(More)
PURPOSE Investigating the interaction between particulate matter air pollution (PM) and temperature is important for quantifying the effects of PM on mortality. One approach is stratification-estimating the effect of PM within different temperature strata-but this treats the cutpoints that define the strata as fixed, when in fact they are unknown. The(More)
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