SAARC’s prolonged paralysis exposes the limits of political regionalism, prompting Bangladesh to rethink its economic ...

Parametric models for the prior, G, can be difficult to choose, so it is natural to ask whether some nonparametric procedure can be used to estimate G. An affirmative answer to this question can be ...

Maximum likelihood estimation (MLE) underpins a wide array of regression models by selecting parameter values that maximise the probability of observed data under assumed distributions. In classical ...

Haider is a writer and editor with years of experience and has been a fan of GameRant for years due to its great content. As an anime features writer for the site, he theorizes about the latest anime ...

ABSTRACT: The aim of this article is to analyze the impact of agricultural credit on agricultural productivity in the Congo. This work finds its affiliation in the neoclassical theory developed by ...

Abstract: We investigate the procedure of semi-parametric maximum likelihood estimation under constraints on summary statistics. Such a procedure results in a discrete probability distribution ...

We present a Bayesian synthetic likelihood method to estimate both the parameters and their uncertainty in systems of stochastic differential equations. Together with novel summary statistics the ...