LogitBoost autoregressive networks [PDF]
Computational Statistics & Data Analysis, 2017 Multivariate binary distributions can be decomposed into products of univariate conditional distributions. Recently popular approaches have modeled these conditionals through neural networks with sophisticated weight-sharing structures. It is shown that state-of-the-art performance on several standard benchmark datasets can actually be achieved by ...
openaire +5 more sources
A Study on the Autoregressive and non-Autoregressive Multi-label Learning
CoRR, 2020 Extreme classification tasks are multi-label tasks with an extremely large number of labels (tags). These tasks are hard because the label space is usually (i) very large, e.g. thousands or millions of labels, (ii) very sparse, i.e. very few labels apply to each input document, and (iii) highly correlated, meaning that the existence of one label ...
Elham J. Barezi +3 more
openaire +3 more sources
Long-term dynamics of forest insect populations in Krasnoturanskiy pine forest [PDF]
Сибирский лесной журналThe experience of a long-term study of the population dynamics of phyllophagous insects in Krasnoturansky pine forest (the southern part of Krasnoyarsk Krai) is discussed in the paper.
V. G. Soukhovolsky, O. V. Tarasova
doaj +1 more source
Hierarchical Modelling of Haplotype Effects on a Phylogeny
Frontiers in Genetics, 2021 We introduce a hierarchical model to estimate haplotype effects based on phylogenetic relationships between haplotypes and their association with observed phenotypes.
Maria Lie Selle +5 more
doaj +1 more source
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances [PDF]
Journal of Econometrics, 2008 This study develops a methodology of inference for a widely used Cliff-Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while allowing for unknown heteroskedasticity in the innovations.
Harry H. Kelejian, Ingmar R. Prucha
openaire +6 more sources
Regressional modeling and forecasting of economic growth for arkhangelsk region [PDF]
Экономика региона, 2012 The regression models of GRP, considering the impact of three main factors: investment in fixed assets, wages amount, and, importantly, the innovation factor –the expenditures for research and development, are constructed in this paper on the empirical ...
Robert Mikhailovich Nizhegorodtsev +1 more
doaj +1 more source
Modelling time series of industrial production index
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2006 Aim of this work is modelling index industrial performance. In work will be constructed model on base results from business tendency surveys. Business tendency surveys open opportunity for various hypotheses (e.g.
Veronika Blašková
doaj +1 more source
Time series analysis of road traffic accident in Rivers State, Nigeria
Ianna Journal of Interdisciplinary Studies, 2019 Background: Transport plays a significant role in the activities of man. Increase usage of road transport raises the likelihood of the occurrence of road traffic accident (RTA).
Davies Owunari S. +2 more
doaj +2 more sources
Increase of the Integration Degree of Wind Power Plants into the Energy System Using Wind Forecasting and Power Consumption Predictor Models by Transmission System Operator [PDF]
Problems of the Regional Energetics, 2017 Wind power plants’ (WPPs) high penetration into the power system leads to various inconveniences in the work of system operators. This fact is associated with the unpredictable nature of wind speed and generated power, respectively. Due to these factors,
Manusov V.Z. +3 more
doaj
Empirical Estimation of Monetary Policy Infuence on Stock Exchange Indicators
Наукові записки НаУКМА: Економічні науки, 2018 The purpose of the current research is to conduct the empirical analysis and develop adequate econometric instruments for estimation of the relationship between monetary indicators and stock exchange indices in order to determine the effective ...
Iryna Lukianenko, Yevgenii Sova
doaj +1 more source