In this paper we consider the problem of estimating the parameters of a Markov model using so-called macro data. It will be shown that the stochastic process of the macro data is a Markov chain, which ...

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

This is a preview. Log in through your library . Abstract Weighted distributions can be used to fit various forms of resource selection probability functions (RSPF) under the useversus-available study ...

Since Basel II, the second of the Basel Accords, was first published in June 2004, banks around the world have been engaged in a continuous effort to develop methodologies to estimate the key ...

Common ordinal models, including the ordered logit model and the continuation ratio model, are formulated by a common score (ie, a linear combination of given explanatory variables) plus rank-specific ...

According to a group of mathematics researchers, the probability in the following decade of the sun causing a storm strong enough to affect electrical and communication infrastructures around the ...