Estimation of NAIRU with Inflation Expectation Data

estimation of non-accelerating inflation rate of unemployment (nairu) and potential output

this paper tries to survey and estimate non-accelerating inflation rate of unemployment (nairu) and potential output. it uses the unobserved components model to propose a new method. the model consists of ukan law equations and philips curve. it uses unobservable key economic variable in the form of unobserved random trends in an equation system of three variables namely unemployment, gross dom...

Inflation , Unemployment and the NAIRU in Pakistan ( 1975 - 2009 )

Inflation and Inflation Uncertainty in Iran: An Application of GARCH-in-Mean Model with FIML Method of Estimation

This paper investigates the relationship between inflation and inflation uncertainty for the period of 1990-2009 by using monthly data in the Iranian economy. The results of a two-step procedure such as Granger causality test which uses generated variables from the first stage as regressors in the second stage, suggests a positive relation between the mean and the variance of inflation. However...

Data Synthesis with Expectation-Maximization

A problem of increasing importance in computer graphics is to generate data with the style of some previous training data, but satisfying new constraints. If we use a probabilistic latent variable model, then learning the model will normally be performed using Expectation-Maximization (EM), or one of its generalizations. We show that data synthesis for such problems can also be performed using ...

Hand Pose Estimation Using Expectation-Constrained-Maximization From Voxel Data

This paper describes voxel-based hand posture estimation using the Expectation Constrained-Maximization framework to estimate the parameters to a 16 segment 24 degreesof-freedom hand model. This method uses only voxels to estimate finger segment locations and orientations. The hand model consists of a mixture of kinematically constrained 3D gaussian distributions. Results on simulated and real ...