A Markov modulated Poisson process model for rainfall increments
The problems encountered when using traditional rectangular pulse hierarchical point process models for fine temporal resolution and the growing number of available tip-time records suggest that rainfall increments from tipping-bucket gauges be modelled directly.
C, Onof +3 more
semanticscholar +4 more sources
Markov modulated Poisson process models incorporating covariates for rainfall intensity
Time series of rainfall bucket tip times at the Beaufort Park station, Bracknell, in the UK are modelled by a class of Markov modulated Poisson processes (MMPP) which may be thought of as a generalization of the Poisson process. Our main focus in this paper is to investigate the effects of including covariate information into the MMPP model framework ...
R, Thayakaran, N I, Ramesh
semanticscholar +4 more sources
Stochastic evolutionary system with Markov-modulated Poisson perturbations in the averaging schema
This paper discusses the asymptotic behavior of the stochastic evolutionary system under the Markov-modulated Poisson perturbations in an averaging schema.
S. A. Semenyuk, Ya. M. Chabanyuk
doaj +2 more sources
Particle Detection System Analysis in the Stratosphere Using High-Altitude Platforms Based on a MMPP-2 Model [PDF]
Many space missions using High-Altitude Platforms (HAPs) are designed to measure contaminant particles in the stratosphere. However, there is no previous performance analysis of the sensors installed in the HAP in terms of the energy required by the ...
Mario Eduardo Rivero-Ángeles +4 more
doaj +2 more sources
Learning to detect events with Markov-modulated poisson processes [PDF]
Time-series of count data occur in many different contexts, including Internet navigation logs, freeway traffic monitoring, and security logs associated with buildings. In this article we describe a framework for detecting anomalous events in such data using an unsupervised learning approach.
Alexander T. Ihler +2 more
openaire +2 more sources
Circulant Preconditioners for Markov-Modulated Poisson Processes and Their Applications to Manufacturing Systems [PDF]
Summary: The Markov-modulated Poisson process (MMPP) is a generalization of the Poisson process and is commonly used in modeling the input process of communication systems such as data traffic systems and ATM networks. In this paper, we give fast algorithms for solving queueing systems and manufacturing systems with MMPP inputs.
Wai Ki Ching +2 more
exaly +5 more sources
Multivariate models for rainfall based on Markov modulated Poisson processes [PDF]
Point process models for rainfall are constructed generally based on Poisson cluster processes. Most commonly used point process models in the literature were constructed either based on Bartlett–Lewis or Neyman–Scott cluster processes. In this paper, we utilize a class of Cox process models, termed the Markov modulated Poisson process (MMPP), to model
N I Ramesh
exaly +2 more sources
Choice of the Parameters of the CUSUM Algorithms for Parameter Estimation in the Markov Modulated Poisson Process [PDF]
CUSUM algorithm for controlling chain state switching in the Markov modulated Poisson process was investigated via simulation. Recommendations concerning the parameter choice were given subject to characteristics of the process. Procedure of the process parameter estimation was described.
Burkatovskaya, Yuliya Borisovna +2 more
openaire +3 more sources
Heavy outgoing call asymptotics for MMPP|M|1 retrial queue with two way communication and multiple types of outgoing calls [PDF]
In this paper, we consider a single server retrial queue MMPP|M|1 with two way communication and multiple types of outgoing calls. Calls received by the system occupy the device for operating, if it is free, or are sent to orbit, where they make a random
Nazarov, Anatoly A. +2 more
doaj +1 more source
The main purpose of this paper was to, for the first time, analyse the spatiotemporal features of the background seismicity of Northern Algeria and its vicinity, as identified by different declustering methods (specifically: the Gardner and Knopoff ...
Amel Benali +4 more
doaj +1 more source

