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Multivariate power series distributions and Neyman's properties for multinomials
(Journal of Multivariate Analysis, 1977)
Multivariate power series distributions and Neyman's properties for multinomials
(Journal of Multivariate Analysis, 1977)
A problem of J. Neyman (in Classical and Contagious Discrete Distributions
(G. P. Pat& Ed.), 1965, pp. 4-14) regarding a characterization of positive and
negative multinomial distributions is studied in this paper. Some ...
Fuzzy Time Series Methods Applied to Short -Term Photovoltaic Power Forecasting Forecasting
(, 2021)
Abstract— Solar photovoltaic energy has shown a significant growth in the last decade. In the face of this growth, there are challenges to consider for the high penetration rates of solar photovoltaic, since this type of ...
Network anomaly detection with Net-GAN, a generative adversarial network for analysis of multivariate time-series.
(ACM, 2020)
We introduce Net-GAN, a novel approach to network anomaly detection in time-series, using recurrent neural networks (RNNs) and generative adversarial networks (GAN). Different from the state of the art, which traditionally ...
Net-GAN : Recurrent generative adversarial networks for network anomaly detection in multivariate time-series.
(IEEE/IFIP, 2020)
We introduce Net-GAN, a novel approach to network anomaly detection in time-series, using recurrent neural networks (RNNs) and generative adversarial learning (GAN). Different from the state of the art, which traditionally ...
COMPOUND POWER SERIES DISTRIBUTION WITH NEGATIVE MULTINOMIAL SUMMANDS: CHARACTERISATION AND RISK PROCESS
(2020)
The paper considers a multivariate distribution whose coordinates are compounds. The number of the summands is itself also a multivariate compound with one and the same univariate Power series distributed number of summands ...
Portable system for monitoring and recording multivariate workplace environmental variables in hydroelectric power plants
(Ieee, 2014-01-01)
This paper presents research and development results of a prototype portable system designed for monitoring and recording HPP (Hydroelectric Power Plant) workplace environment data (noise, vibration, pressure, temperature, ...
Portable system for monitoring and recording multivariate workplace environmental variables in hydroelectric power plants
(2014-03-12)
This paper presents research and development results of a prototype portable system designed for monitoring and recording HPP (Hydroelectric Power Plant) workplace environment data (noise, vibration, pressure, temperature, ...
Identification of Common Factors in Multivariate Time Series Modeling
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística, 2015-01-01)
For multivariate time series modelling, it is essential to know the number of common factors that define the behaviour. The traditional approach to this problem is investigating the number of cointegration relations among the ...