Risk is an integral part of many economic decisions and is vitally important in finance.
Despite extensive research on decision making under risk, little is known about how risks …

" Experiments are a central methodology in the social sciences. Scholars from every
discipline regularly turn to them. Practitioners rely on experimental evidence in evaluating …

The use of statistical inference in linguistics and related areas like psychology typically
involves a binary decision: either reject or accept some null hypothesis using statistical …

In statistics, samples are drawn from a population in a data‐generating process (DGP).
Standard errors measure the uncertainty in estimates of population parameters. In science …

There is abundant observational data in the software engineering domain, whereas running
large-scale controlled experiments is often practically impossible. Thus, most empirical …

Negative (antagonistic) connections have been of longstanding theoretical importance for
social structure. In a population of 24,696 adults interacting face to face within 176 isolated …

Evidence suggests that unemployment negatively affects various aspects of individuals'
lives. The author investigates whether unemployment changes individuals' political …

To evaluate perception components of an automated driving system, it is necessary to define
the relevant objects. While the urban domain is popular among perception datasets …

Synthetic datasets constructed from formal languages allow fine-grained examination of the
learning and generalization capabilities of machine learning systems for sequence …

Inference is the process of using facts we know to learn about facts we do not know. A theory
of inference gives assumptions necessary to get from the former to the latter, along with a …