forward, backward, and stepwise confounding variable selection estimate the ATE compared to spike-and-slab Bayesian variable …. Overall, results suggest that Bayesian variable selection is more appealing in smaller sample sizes than frequentist variable …

prove consistency and asymptotic normality of a solution to the maximum likelihood equations for zero-inflated generalized … study. This allows to construct asymptotic confidence intervals and likelihood ratio tests. …

This article shows how to construct a likelihood for a general class of censoring problems. This likelihood is proven … normally distributed under regularity conditions. The method generalises ordinary maximum likelihood estimation as well as …

The design-approach is evaluated, using a likelihood approach to survey sampling. It is argued that a model … problem. Predictive likelihood methods are considered in various cases, and evaluated by properties of related confidence …

, based on their historical data. We first use the Akaike information criterion (AIC) and Bayesian information criterion (BIC …

for the structural parameter vector based on the frequency domain approximation to the Gaussian likelihood. The …

average, remote workers work fewer hours than onsite workers, while hybrid workers work more. Both partners switching from … onsite to hybrid work is associated with a 5.4% increase in couple-level hours, while both switching to fully remote work is … associated with a 3.2% decrease in couple-level hours. When women switch to hybrid work while their partners switch to remote …

analysis and presentation of the requirements for project management in SMEs. Whether classical, agile or hybrid project … secure. Likewise, the usually very scarce resources must be taken into account. Whether classic, agile or hybrid project …