This paper analyzes the properties of a class of estimators, tests, and con…dence sets (CS’s) when the parameters are not identi…ed in parts of the parameter space. Speci…cally, we consider estimator criterion functions that are sample averages and are smooth functions of a parameter : This includes log likelihood, quasi-log likelihood, and least squares criterion functions. We determine the as...

The paper provides a new class of over-identi…cation tests that are robust to heteroscedasticity and autocorrelation of unknown forms. The tests are based on the series long run variance estimator that is designed to pivotalize the moment restrictions. We show that when the number of terms used in the series long run variance estimator is …xed, the conventional J statistic, after a simple corre...

Cobb Douglas production function parameters are not identi…ed from crosssection variation when inputs are perfectly ‡exible and chosen optimally, and input prices are common to all …rms. We consider the role of adjustment costs for inputs in identifying these parameters in this context. The presence of adjustment costs for all inputs allows production function parameters to be identi…ed, even i...

The leaves are one of the most important main sources used for plant identification. Because of this the ImageCLEF 2011 proposed a challenge based on leaf analysis for plant identification. This paper reports the experiment results of the IFSC/USP team in participating of this task. The main goal is investigate the performance of Complex Network method for feature extraction and classification ...

The counting and classification of blood cells allows the evaluation and diagnosis of a vast number of diseases. Through the analysis of white blood cells (WBCs) the ALL Acute Lymphocytic Leukemia, a blood cancer that can be fatal if left untreated, can be detected. Nowadays the morphological analysis of blood cells is performed manually by skilled operators. This involves numerous drawbacks, s...

In this paper, we present a new approach for adaptive echo cancellation: Pseudo Affine projection algorithm. From the original update equation of the filter coefficients of the Affine Projection algorithms, which are based on multiple dimension projection of the input signal vector, we derive a simplified solution under some realistic hypothesis. We show that our solution possesses a complexity...

The use of microarray data has become quite commonplace in medical and scientific experiments. We focus here on microarray data generated from cancer studies. It is potentially important for the discovery of biomarkers to identify genes whose expression levels correlate with tumor progression. In this article, we propose a simple procedure for the identification of such genes, which we term tum...

This paper is concerned with the estimation of New Keynesian Phillips Curves (NKPC) and focusses on two issues: the weak instrument problem and the characterisation of the steady states. It proposes some solutions from a global perspective. Using a global vector autoregressive model (GVAR) steady states are estimated as long-horizon expectations and valid instruments are constructed from the gl...

A new investigation of the complexity of language identi cation is undertaken using the notion of reduction from recursion theory and complexity theory. The approach, referred to as the intrinsic complexity of language identi cation, employs notions of `weak' and `strong' reduction between learnable classes of languages. The intrinsic complexity of several classes are considered and the results...