A Logical Hierarchical Hidden Semi‐Markov Model for Team Intention Recognition
Intention recognition is significant in many applications. In this paper, we focus on team intention recognition, which identifies the intention of each team member and the team working mode. To model the team intention as well as the world state and observation, we propose a Logical Hierarchical Hidden Semi‐Markov Model (LHHSMM), which has advantages ...
Shi-guang Yue +4 more
wiley +1 more source
A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean [PDF]
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Clare A. McGrory +2 more
openaire +5 more sources
On the reliability of a renewable multiple cold standby system
We present a general reliability analysis of a renewable multiple cold standby system attended by a single repairman. Our analysis is based on a refined methodology of queuing theory. The particular case of deterministic failures provides an explicit exact result for the survival function of the duplex system.
E. J. Vanderperre
wiley +1 more source
Análisis de trayectorias estudiantiles mediante distribuciones de fase discretas acíclicas
En este trabajo se analizan las trayectorias estudiantiles mediante mezclas de distribuciones de fase discretas acíclicas. El modelo propuesto combina una distribución de Coxian discreta para estimar las probabilidades de deserción en los semestres ...
Luz Judith Rodríguez Esparza +1 more
doaj +1 more source
An Objective Measure of Distributional Estimability as Applied to the Phase-Type Aging Model
The phase-type aging model (PTAM) is a class of Coxian-type Markovian models that can provide a quantitative description of the effects of various aging characteristics.
Cong Nie, Xiaoming Liu, Serge B. Provost
doaj +1 more source
Distribution and Moments of the Idle Period and Interarrival Time in the G/M/1 Queueing System
The Idle period is relevant in a wide variety of systems and has been extensively studied in the literature. This paper derives the distribution and moments of the idle period for different interrarrival time distributions in the G/M/1 queueing system ...
Felipe A. Cruz-Perez +3 more
doaj +1 more source
On the Non-uniqueness of Representations of Coxian Phase-Type Distributions
Parameter estimation in Coxian phase-type models can be challenging due to their non-unique representation leading to a multi-modal likelihood. Since each representation corresponds to a different underlying data-generating mechanism, it is of interest to identify those supported by given data (i.e., find all likelihood modes). The standard approach is
Rizk, Jean, Burke, Kevin, Walsh, Cathal
openaire +2 more sources
Modelling Students' Length of Stay at University Using Coxian Phase-type Distributions
The time that Italian students spend at university is remarkably longer than in other European universities. For this reason, the government has recently introduced new rules for academic courses, in order to reduce the issue of long term students. In addition to this, universities need to address the growing problem of students prematurely leaving ...
ZENGA M, MARSHALL A, GIORDANO, Sabrina
openaire +3 more sources
How Kirkwood and Probability Distributions Differ: A Coxian Perspective
Kolmogorov's first axiom of probability is probability takes values between 0 and 1; however, in Cox's derivation of probability having a maximum value of unity is arbitrary since he derives probability as a tool to rank degrees of plausibility. Probability can then be used to make inferences in instances of incomplete information, which is the ...
openaire +2 more sources
A new method to construct high-dimensional copulas with Bernoulli and Coxian-2 distributions
We propose an approach to construct a new family of generalized Farlie-Gumbel-Morgenstern (GFGM) copulas that naturally scales to high dimensions. A GFGM copula can model moderate positive and negative dependence, cover different types of asymmetries, and admits exact expressions for many quantities of interest such as measures of association or risk ...
Christopher Blier-Wong +3 more
openaire +3 more sources

