We present semiparametric spectral modeling of the complete larval Drosophila mushroom body connectome. Motivated by a thorough exploratory data analysis of the network via Gaussian mixture modeling (GMM) in the adjacency spectral embedding (ASE) representation space, we introduce the latent structure model (LSM) for network modeling and inference. LSM is a generalization of the stochastic bloc...

Based on the provincial panel data from 2013 to 2020 in China, this paper uses two-way fixed effect model and Dynamic System GMM study relationship between development of digital finance improvement efficiency financial support for real economy. The results show that: Digital can significantly improve economy China; Structural heterogeneity shows that, compared with degree digitization, effecti...

In the presence of selection bias the traditional estimators for pseudo panel data models are inconsistent. This paper discusses a method to achieve consistency in static linear pseudo panels in the presence of selection bias and a testing procedure for sample selection bias. The authors’ approach uses a bias correction term proportional to the inverse Mills ratio with argument equal to the “no...

Most techniques for speaker verification today use Gaussian Mixture Models (GMMs) and make the decision by comparing the likelihood of the speaker model to the likelihood of a universal background model (UBM). The paper proposes to replace the UBM by an individual background model (IBM) that is generated for each speaker. The IBM is created using the K-nearest cohort models and the UBM by a sim...

This paper introduces the technique of anchor modeling in the applications of speaker detection and speaker indexing. The anchor modeling algorithm is refined by pruning the number of models needed. The system is applied to the speaker detection problem where its performance is shown to fall short of the state-of-the-art Gaussian Mixture Model with Universal Background Model (GMM-UBM) system. H...

Considerable portion of housing sector from gross domestic product indicates relationship between housing sector and macroeconomics. This paper focuses on consumption demand of housing and variables that can affect it and represents a theoretical framework for changes of housing prices regarding variables such as income per capita, liquidity and land per capita, the present paper studies effect...

While deep neural networks (DNNs) have become the dominant acoustic model (AM) for speech recognition systems, they are still dependent on Gaussian mixture models (GMMs) for alignments both for supervised training and for context dependent (CD) tree building. Here we explore bootstrapping DNN AM training without GMM AMs and show that CD trees can be built with DNN alignments which are better ma...

Blood-feeding Glossina palpalis gambiense (Gpg) fly transmits the single-celled eukaryotic parasite Trypanosoma brucei gambiense (Tbg), the second Glossina fly African trypanosome pair being Glossina morsitans/T.brucei rhodesiense. Whatever the T. brucei subspecies, whereas the onset of their developmental program in the zoo-anthropophilic blood feeding flies does unfold in the fly midgut, its ...

Following the present atmosphere of budgetary cuts in the OECD countries we analyze the effects of fiscal consolidation in the composition of government expenditures by functions. We modify a standard median voter demand model to incorporate a form of fiscal illusion based on the idea that voters-taxpayers may not be fully aware of the true composition of government expenditures because all typ...

The long term consequences of malnutrition during childhood are well established in the literature. Yet, little is known about the extent to which individuals are able to recover from some of the deficits in health outcomes caused by childhood malnutrition. In order to address this question, I construct a panel data for children between 3-59 months in 1993 and follow them through 1997 and 2000 ...