This is an invited contribution to the discussion on Professor Deborah Mayo’s paper, “On the Birnbaum argument for the strong likelihood principle,” to appear in Statistical Science. Mayo clearly demonstrates that statistical methods violating the likelihood principle need not violate either the sufficiency or conditionality principle, thus refuting Birnbaum’s claim. With the constraints of Bir...

We explore the meaning of information about quantities of interest. Our approach is divided in two scenarios: the analysis of observations and the planning of an experiment. First, we review the Sufficiency, Conditionality and Likelihood principles and how they relate to trivial experiments. Next, we review Blackwell Sufficiency and show that sampling without replacement is Blackwell Sufficient...

ABSTRACT This paper aims to analyze the innovations introduced in functions of International Monetary Fund context 2008 economic and financial crisis. promoted an action that aimed strengthen surveillance function through adoption Integrated Surveillance. Thus, alongside traditional conditionality based on a posteriori implementation adequate policies, criterion ex ante precautionary branches w...

The paper explains IMF and World Bank lending and conditionality stressing changes in relative bargaining power of different stakeholders over time. It applies public choice theory to explain the interests of the institutions’ member states, its borrowers and staffs as well as private actors attaching their money to the IFIs’ programs. Using panel data for 43 countries between 1987–99 it is sho...

We present a simple, illustrative example of Fisher’s Conditionality Principle in statistical pattern recognition. We observe training data {(Xi, Yi,Zi)}i=1 with which to learn the discriminant boundary. At classification time, we observe the to-beclassified feature vector X with true-but-unobserved class label Y . We do not observe the Z associated with X, and the collection {Zi} is ancillary ...