This paper is concerned with parameter estimation for inhomogeneous spatial point processes with a regression model for the intensity function and tractable second order properties (K-function). Regression parameters are estimated using a Poisson likelihood score estimating function and in a second step minimum contrast estimation is applied for the residual clustering parameters. Asymptotic no...

LetH0(X) be a function that can be nonparametrically estimated. Suppose E [Y |X ] = F0[X⊤β0, H0(X)]. Many models fit this framework, including latent index models with an endogenous regressor, and nonlinear models with sample selection. We show that the vector β0 and unknown function F0 are generally point identified without exclusion restrictions or instruments, in contrast to the usual assump...

Oracally Efficient Two-Step Estimation of Generalized Additive Model Rong Liu a b , Lijian Yang a c & Wolfgang K. Härdle d a Center for Advanced Statistics and Econometrics Research , Soochow University , China b Department of Mathematics and Statistics , University of Toledo , Toledo , OH , 43606 c Department of Statistics and Probability , Michigan State University , East Lansing , MI , 48824...

A b s t r a c t

The well known decision-directed (DD) approach drastically limits the level of musical noise, but the estimated a priori SNR matches the previous frame rather than the current one. Plapous introduced a novel method called two-step noise reduction (TSNR) technique to refine the a priori SNR estimation of the DD approach. However, the performance of this method depends on the accurateness of the ...

reaction mechanism among indoline-2,3-dione, pyrrolidine-2-carboxylic acid and (z)-2-(1-(2-hydroxynaphthalen-1-yl)ethylidene)hydroxycarboxamide to form 1’-((((aminooxy)carbonyl)amino)methyl)-2’-(1-hydroxynaphthalen-2-yl)-2’-methyl-1’,2’,5’,6’,7’,7a’-hexahydrospiro[indoline-3,3’-pyrrolo[1,2-a]imidazole-2-one was investigated using density functional theory (dft) at b3lyp basis theory. the three-...

The estimation of Laplacian factor is a crucial part of speech enhancement algorithms using Laplacian model priori. Classical methods for the estimation of this parameter suffer from the residual noise or time delay bias. In this paper, a novel algorithm called two-step technique for the estimation of Laplacian factor is proposed in discrete cosine transform domain. Based on the estimation theo...

We study semiparametric two-step estimators which have the same structure as parametric doubly robust estimators in their second step, but retain a fully nonparametric specification in the first step. Such estimators exist in many economic applications, including a wide range of missing data and treatment effect models, partially linear regression models, models for nonparametric policy analysi...

First, you have to add the gmmtbx folder into Matlab’s path. Enter the command: >>addpath(’k:\gmmtbx’); Now, we need to construct the variables of interest, namely the dataset and the instruments. Both have already been saved in the gmmtbx folder and can be loaded into Matlab using the commands: >>x = load(’cbapmvwrdata.dat’); >>z = load(’cbapmvwrinstr.dat’); where x is the dataset 1, and z are...