This paper proposes a new test for class of conditional moment restrictions (CMRs) whose parameterization involves unknown, unrestricted expectation functions. Motivating examples such CMRs arise from models discrete choice under uncertainty including certain static games incomplete information. The proposed may be viewed as semi-/nonparametric extension the Bierens (1982, Journal Econometrics ...

Multi-wavelength analyses of spectra active galactic nuclei (AGNs) provide useful information on the physical processes in accretion disk and jets black holes. This, however, is limited to bright sources may not represent population as a whole. Another approach through investigation cosmological evolution luminosity function (LF) that shows varied (luminosity density) at different wavelengths. ...

forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. traditional methods such as field surveys are almost time-consuming and cost-intensive. improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. this research co...

Abstract. Nowadays, the synthetic aperture radar (SAR) tomography (TomoSAR) technique plays a notable role in 3D reconstruction of urban buildings through several SAR acquisitions with slightly different positions. Nonparametric-based TomoSAR spectral estimation algorithms usually work well when large number observations. In this study, limited images, we have assessed efficiency nonparametric ...

Seed yields of 14 soybean genotypes were evaluated in four locations i.e. Adana, Şanlıurfa, Antalya and İzmir under second crop conditions through summer seasons from 2014 to 2016. The aims research are estimate the stability parameters terms seed yield by used different analysis methods across eleven environmental study interrelationship among these methods. variance for revealed that environm...

The joint modeling of longitudinal and survival data has received extraordinary attention in the statistics literature recently, with models and methods becoming increasingly more complex. Most of these approaches pair a proportional hazards survival with longitudinal trajectory modeling through parametric or nonparametric specifications. In this paper we closely examine one data set previously...

Nonparametric models are versatile, albeit computationally expensive, tool for modeling mixture models. In this paper, we introduce spectral methods for the two most popular nonparametric models: the Indian Buffet Process (IBP) and the Hierarchical Dirichlet Process (HDP). We show that using spectral methods for the inference of nonparametric models are computationally and statistically efficie...