Results 161 to 170 of about 10,720,791 (210)

Genome assembly and annotation of a deep-diving pinniped, the northern elephant seal (Mirounga angustirostris). [PDF]

J Hered
Rivera MG, Escalona M, Garza JC, Miller C, Beraut E, Fairbairn C, Sacco S, Seligmann WE, Sahasrabudhe R, Nguyen O, Toffelmier E, Shaffer HB, Costa DP, Beltran RS, Meyer RS.   +14 more
europepmc   +1 more source

Experimentally induced REM sleep fragmentation affects psychophysiological habituation to emotional stimuli. [PDF]

Sleep
Viselli L, Salfi F, Naccarato F, Arnone B, Corigliano D, Amicucci G, Festucci F, Colombo C, Cellini N, Tempesta D, Ferrara M, D'Atri A.   +11 more
europepmc   +1 more source

Translating Empirical State-Dependent Service Times Into Queueing Models. [PDF]

Prod Oper Manag
Ding L, Kolfal B, Ingolfsson A.
europepmc   +1 more source

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Local poissonification of the markovian arrival process

Stochastic Models, 1992
Summary: In a novel approach to quantifying the burstiness of a stationary point process, the points in successive intervals of length \(a\) are uniformly and independently redistributed over those intervals. As the window size \(a\) is increased, we obtain new point processes which increasingly mimic the local behavior of the Poisson process.
Neuts, Marcel F., Liu, Dan, Narayana, Surya   +2 more
exaly   +2 more sources

Counter-examples involving markovian arrival processes

Stochastic Models, 1991
Summary: By considering simple two-state Markovian arrival processes, a number of examples are given which show the limitations of the information conveyed by the distributions of the counting random variables. Some of these are intended to lay some conjectures on point processes to rest, while others have primarily didactic value.
Liu, Dan, Neuts, Marcel F.
exaly   +3 more sources

Multi-class Markovian arrival processes and their parameter fitting

Performance Evaluation, 2010
Markovian arrival processes are a powerful class of stochastic processes to represent stochastic workloads that include autocorrelation in performance or dependability modeling. However, fitting the parameters of a Markovian arrival process to given measurement data is non-trivial and most known methods focus on a single class case, where all events ...
Peter Buchholz, Jan Kriege, Peter Kemper   +2 more
exaly   +2 more sources

The first two moment matrices of the counts for the markovian arrival process

Stochastic Models, 1992
Summary: Analytic, asymptotic and algorithmic properties of the first two moment matrices of the counts during an interval \((0,t]\) in the Markovian arrival process (MAP) are discussed. These properties are useful in the computation of Palm densities and dispersion functions with arbitrary initial conditions. These descriptors, in turn, are helpful in
Narayana, Surya, Neuts, Marcel F.
exaly   +3 more sources

Markovian Arrival Process Parameter Estimation With Group Data

IEEE/ACM Transactions on Networking, 2009
This paper addresses a parameter estimation problem of Markovian arrival process (MAP). In network traffic measurement experiments, one often encounters the group data where arrival times for a group are collected as one bin. Although the group data are observed in many situations, nearly all existing estimation methods for MAP are based on nongroup ...
Hiroyuki Okamura, Kishor Trivedi, Tadashi Dohi   +2 more
exaly   +3 more sources

Markovian Arrival Processes in Multi-dimensions

2020
Phase Type Distributions (PHDs) and Markovian Arrival Processes (MAPs) are established models in computational probability to describe random processes in stochastic models. In this paper we extend MAPs to Multi-Dimensional MAPs (MDMAPs) which are a model for random vectors that may be correlated in different dimensions.
Andreas Blume, Peter Buchholz 0001, Clara Scherbaum   +2 more
openaire   +2 more sources