We propose identifying the drift and the diffusion functions of an ergodic scalar stochastic differential equation using repeated eigenfunction estimation. The transition density will be estimated in a new way involving Kolmogorov’s backward equation, neural networks and functions of our...

We propose to estimate the eigenfunctions of the infinitesimal generator of a stochastic differential equation as the solutions of an integral equation.

We propose a simple cognitive model where qualitative and quantitative comparisons enable animals to identify objects, associate them with their properties held in memory and make naive inference. Simple notions like equivalence relations, order relations are used. We then show that such...

This paper focuses solely on the energy consumption, carbon dioxide (CO2) emissions and economic growth nexus applying the iterative Bayesian shrinkage procedure. The environmental Kuznets curve (EKC) hypothesis is tested using this method for the first time in this literature and the results...