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Perfect Sampling of Generalized Jackson Network [article]

Jose Blanchet, Xinyun Chen
2016 arXiv   pre-print
We provide the first perfect sampling algorithm for a Generalized Jackson Network of FIFO queues under arbitrary topology and non-Markovian assumptions on the input of the network.  ...  We assume (in addition to stability) that the interarrival and service times of customers have finite moment generating function in a neighborhood of the origin, and the interarrival times have unbounded  ...  INTRODUCTION We present the first perfect sampling algorithm (i.e. unbiased sampling also known as exact simulation) for the steady-state of so-called Generalized Jackson Networks (GJNs).  ... 
arXiv:1601.05499v2 fatcat:f6knq2inb5drfnn6moyghcymuq

Perfect sampling of Jackson queueing networks

Ana Bušić, Stéphane Durand, Bruno Gaujal, Florence Perronnin
2015 Queueing systems  
We also provide bounds on the sampling time of this new perfect sampling algorithm for acyclic or hyperstable networks.  ...  We consider open Jackson networks with losses with mixed finite and infinite queues and analyze the efficiency of sampling from their exact stationary distribution.  ...  Comparison with the classical perfect sampler As discussed earlier, our new algorithm allows for perfect sampling of Jackson networks with finite and infinite buffers.  ... 
doi:10.1007/s11134-015-9436-z fatcat:l4hex6gfhfe5thizrbbaam52i4

Mining Genetic Epidemiology Data with Bayesian Networks Application to APOE Gene Variation and Plasma Lipid Levels

Andrei Rodin, Thomas H. Mosley, Andrew G. Clark, Charles F. Sing, Eric Boerwinkle
2005 Journal of Computational Biology  
We have applied Belief networks to SNP variation in the human APOE gene and plasma apolipoprotein E levels from two samples: 702 African-Americans from Jackson, MS, and 854 non-Hispanic whites from Rochester  ...  Twenty variable sites in the APOE gene were genotyped in both samples. In Jackson, MS, SNPs 4036 and 4075 were identified to influence plasma apoE levels.  ...  This work was supported in part by grants from the National Heart Lung and Blood Institute and the Institute of General Medical Sciences.  ... 
doi:10.1089/cmb.2005.12.1 pmid:15725730 pmcid:PMC1201451 fatcat:on675oouj5fwfegj3jrjdy4b34

Page 1704 of Mathematical Reviews Vol. , Issue 90C [page]

1990 Mathematical Reviews  
In this paper, we study a sample performance function of a closed Jackson queueing network; specifically, the time required by a server to serve a finite number of customers.  ...  Bent Natvig (N-OSLO) 90c:60059 60K25 90B22 Cao, Xi-Ren (1-HRV) A sample performance function of closed Jackson queueing networks. Oper. Res. 3% (1988), no. 1, 128-136.  ... 

Multi-Agent Inference in Social Networks: A Finite Population Learning Approach

Jianqing Fan, Xin Tong, Yao Zeng
2015 Journal of the American Statistical Association  
Information (data) exchange in social networks is usually costly, so to make reliable statistical decisions, people need to trade off the benefits and costs of information acquisition.  ...  finite population network can make "good" inference.  ...  Acknowledgments Jianqing Fan research is supported by NSF grant DMS-1206464 and the National Institute of General Medical Sciences of NIH through Grant Number R01-GM072611.  ... 
doi:10.1080/01621459.2014.893885 pmid:27076691 pmcid:PMC4827608 fatcat:hepcusakd5b37a7bgjmbuf6g7i

Exact gradient simulation for stochastic fluid networks in steady state

Xinyun Chen
2014 Proceedings of the Winter Simulation Conference 2014  
In this paper, we develop a new simulation algorithm that generates unbiased gradient estimators for the steady-state workload of a stochastic fluid network, with respect to the throughput rate of each  ...  Our algorithm is based on the perfect sampling algorithm developed in Blanchet and Chen (2014), and the infinitesimal perturbation analysis (IPA) method.  ...  generated Chen by the perfect sampling algorithm (Blanchet and Chen 2014) .  ... 
doi:10.1109/wsc.2014.7019923 dblp:conf/wsc/Chen14 fatcat:pqhysozmebdstol7thlwe27m4a

Evidential Reasoning in a Network Usage Prediction Testbed [article]

Ronald P. Loui
2013 arXiv   pre-print
The domain is a network of UNIX* cycle servers, and the task is to predict properties of the state of the network from partial descriptions of the state.  ...  All of the calculi performed better than human subjects, so unbiased access to sample experience is apparently of value. 2.  ...  "jackson" was logged-on too. In the general case, which includes twenty snapshots, "jackson" was logged-on four times.  ... 
arXiv:1304.2368v1 fatcat:uwjxjibdhfdtjigyzmg2zy3xkq

Artificial Neural Network Model of Soil Heat Flux over Multiple Land Covers in South America

Bruno César Comini de Andrade, Olavo Correa Pedrollo, Anderson Ruhoff, Adriana Aparecida Moreira, Leonardo Laipelt, Rafael Bloedow Kayser, Marcelo Sacardi Biudes, Carlos Antonio Costa dos Santos, Debora Regina Roberti, Nadja Gomes Machado, Higo Jose Dalmagro, Antonio Celso Dantas Antonino (+3 others)
2021 Remote Sensing  
Thus, the objective of this study was to assess the ability of the artificial neural network (ANN) to predict mid-morning G using extensive remote sensing and meteorological reanalysis data over a broad  ...  The Jackson et al. (1987) and Bastiaanssen (1995) G prediction models were calibrated using the flux tower data for quadratic errors minimization.  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2021, 13, 2337  ... 
doi:10.3390/rs13122337 fatcat:kyeuytjgejbyhnxei74tikdk6u

Communication Learning in Social Networks: Finite Population and the Rates [article]

Jianqing Fan, Xin Tong, Yao Zeng
2012 arXiv   pre-print
Our conditions for the occurrence of finite population learning and perfect learning in communication networks are very tractable and transparent.  ...  It also enables meaningful comparative statics regarding the effectiveness of information aggregation in networks.  ...  relax the assumption of full observation network topology and study Bayesian observational learning with sampling of past actions.  ... 
arXiv:1212.2893v1 fatcat:ztrbq2jk4vdyvjasav2isyp76e

Page 5095 of Mathematical Reviews Vol. , Issue 99g [page]

1999 Mathematical Reviews  
(generalized Bayesian network) paradigm.  ...  Ramanujam, Command and control for congestion pricing of general multi- modal transportation networks (185-195); M. R. Zamani and L. Y.  ... 

The Cross-Entropy Method with Patching for Rare-Event Simulation of Large Markov Chains

Bahar Kaynar, Ad Ridder
2009 Social Science Research Network  
Abstract There are various importance sampling schemes to estimate rare event probabilities in Markovian systems such as Markovian reliability models and Jackson networks.  ...  In this work, we present a general state dependent importance sampling method which partitions the state space and applies the cross-entropy method to each partition.  ...  Figure 4 : 4 Jackson Network with 5 queues. Figure 5 : 5 Jackson Network with 3 queues.  ... 
doi:10.2139/ssrn.1480678 fatcat:ntsha2ihmzc4havpomfyi2ppke

The cross-entropy method with patching for rare-event simulation of large Markov chains

Bahar Kaynar, Ad Ridder
2010 European Journal of Operational Research  
Abstract There are various importance sampling schemes to estimate rare event probabilities in Markovian systems such as Markovian reliability models and Jackson networks.  ...  In this work, we present a general state dependent importance sampling method which partitions the state space and applies the cross-entropy method to each partition.  ...  Figure 4 : 4 Jackson Network with 5 queues. Figure 5 : 5 Jackson Network with 3 queues.  ... 
doi:10.1016/j.ejor.2010.07.002 fatcat:5infwjulvzf5pirnc7hk6ymtaa

Page 1326 of Mathematical Reviews Vol. , Issue 2000b [page]

2000 Mathematical Reviews  
Starting points are general functional limit theorems showing that joint weak con- vergence of extremal processes with non-random sample size and normalized random sample size indexes implies weak convergence  ...  In a classical open, K-node, Jackson queueing network in which each node has a single server with exponential service times, the customers are routed by Markov routing probabilities, indepen- dent of the  ... 

Application of a Network Scale-up Method to Estimate the Size of Population of Breast, Ovarian/Cervical, Prostate and Bladder Cancers

Ali Akbar Haghdoost, Mohammad Reza Baneshi, Saeedeh Haji-Maghsoodi, Hossein Molavi-Vardanjani, Elham Mohebbi
2015 Asian Pacific Journal of Cancer Prevention  
Network scale up (NSU) is a novel approach to estimate parameters in hard to reach populations through asking people the number of individuals they know in their active social network.  ...  Based on NSU, participants were asked about if they know any people on their social network who suffered from breast, ovarian/cervical, prostate, and bladder cancers, if yes, they should enumerate them  ...  Acknowledgements We would like to thank the Kerman University of Medical Sciences which accepted the financial support of this study (No.91/131).  ... 
doi:10.7314/apjcp.2015.16.8.3273 fatcat:spl6v5rlzredjak5qufxsmmoxi

Page 237 of The Dublin Review Vol. 19, Issue [page]

1888 The Dublin Review  
‘Take part of his general description of the country as a sample of his style :— The natural scenery of Dalmatia is as singular as its geographical formation, and is in the strongest contrast to that of  ...  an intricate network of natural breakwaters and penetrate into countless havens of matchless security.  ... 
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