Information Divergences and Likelihood Ratios of Poisson Processes and Point Patterns

Authors: Leskela, L.

Source: IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 70(12):9084-9101 Dec, 2024

Reliability Growth Model Based on Bayesian Parameter Inference

Authors: Wen, Qingkang, Li, Zhaojun Steven

Source: 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai) Reliability and Prognostics and Health Management (PHM-Yantai),2022 Global. :1-6 Oct, 2022

Relation: 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)

A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System

Authors: Huang, F., Qiao, S., Peng, J., Guo, B.

Source: IEEE Transactions on Intelligent Transportation Systems IEEE Trans. Intell. Transport. Syst. Intelligent Transportation Systems, IEEE Transactions on. 20(8):2848-2857 Aug, 2019

A poisson process model for activity forecasting

Authors: Mahmud, Tahmida, Hasan, Mahmudul, Chakraborty, Anirban, Roy-Chowdhury, Amit K.

Source: 2016 IEEE International Conference on Image Processing (ICIP) Image Processing (ICIP), 2016 IEEE International Conference on. :3339-3343 Sep, 2016

Relation: 2016 IEEE International Conference on Image Processing (ICIP)

Inhomogeneous Spatial Point Process Models for Species Distribution Analysis: A Systematic Review

Authors: Judie Armel Bourobou Bourobou, Adandé Belarmain Fandohan, Roman Lucas Glèlè Kakaï

Source: Applications of Modelling and Simulation, Vol 7, Pp 49-62 (2023)

Subject Terms: cox point process, inhomogeneous point process, inhomogeneous poisson process, markov point process, spatial point process models, Engineering (General). Civil engineering (General), TA1-2040, Technology (General), T1-995

File Description: electronic resource

Relation: http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/384/150; https://doaj.org/toc/2600-8084

Access URL: https://doaj.org/article/caefc9c11add464bbfc2c52f4e875fee

Earthquake Bond Pricing Model Involving the Inconstant Event Intensity and Maximum Strength

Authors: Riza Andrian Ibrahim, Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim

Source: Mathematics, Vol 12, Iss 6, p 786 (2024)

Subject Terms: earthquake bonds, inconstant event intensity, maximum strength, inhomogeneous Poisson process, extreme value theory, risk-neutral pricing measure, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/6/786; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/587846e068c64a919a8e61d571697376

Effects of rates of spontaneous synaptic vesicle secretions in inner hair cells on information transmission in an auditory nerve fiber model

Authors: Kumsa, Parichat, Mino, Hiroyuki

Source: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. :2993-2996 Aug, 2012

Relation: 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

On misspecification in cusp-type change-point models

Authors: Chernoyarov, O.V. ^{a, d}, Dachian, S. ^{b, ⁎}, Kutoyants, Yu.A. ^{c, d}

Source: In Journal of Statistical Planning and Inference December 2025 239

Bayesian Poisson Process Partition Calculus with an Application to Bayesian Lévy Moving Averages

Authors: James, Lancelot F.

Source: The Annals of Statistics, 2005 Aug 01. 33(4), 1771-1799.

Access URL: https://www.jstor.org/stable/3448624

A Test for Spatial Relationships between Neighbouring Plants in Plots of Heterogeneous Plant Density

Authors: Couteron, Pierre, Seghieri, Josiane, Chadœuf, Joël

Source: Journal of Vegetation Science, 2003 Apr 01. 14(2), 163-172.

Access URL: https://www.jstor.org/stable/3236691

Bayesian Analysis of Deformed Tessellation Models

Authors: Blackwell, Paul G., Møller, Jesper

Source: Advances in Applied Probability, 2003 Mar 01. 35(1), 4-26.

Access URL: https://www.jstor.org/stable/1428270

Bayesian Inference for a Random Tessellation Process

Authors: Blackwell, P. G.

Source: Biometrics, 2001 Jun 01. 57(2), 502-507.

Access URL: https://www.jstor.org/stable/3068359

Misspecified Change-Point Estimation Problem for a Poisson Process

Authors: Dabye, Ali S., Kutoyants, Yury A.

Source: Journal of Applied Probability, 2001 Jan 01. 38, 122-130.

Access URL: https://www.jstor.org/stable/3215873

The Time of Completion of a Linear Birth-Growth Model

Authors: Chiu, S. N., Yin, C. C.

Source: Advances in Applied Probability, 2000 Sep 01. 32(3), 620-627.

Access URL: https://www.jstor.org/stable/1428403

Analyzing Telephone Network Data

Authors: McIntosh, Allen A.

Source: Journal of Computational and Graphical Statistics, 1999 Sep 01. 8(3), 611-619.

Access URL: https://www.jstor.org/stable/1390879

Central Limit Theory for the Number of Seeds in a Growth Model in R d with Inhomogeneous Poisson Arrivals

Authors: Chiu, S. N., Quine, M. P.

Source: The Annals of Applied Probability, 1997 Aug 01. 7(3), 802-814.

Access URL: https://www.jstor.org/stable/2245296

Bootstrap Confidence Regions for the Intensity of a Poisson Point Process

Authors: Cowling, Ann, Hall, Peter, Phillips, Michael J.

Source: Journal of the American Statistical Association, 1996 Dec 01. 91(436), 1516-1524.

Access URL: https://www.jstor.org/stable/2291577

Estimation of Poisson Intensity Using Partially Observed Concomitant Variables

Authors: Rathbun, Stephen L.

Source: Biometrics, 1996 Mar 01. 52(1), 226-242.

Access URL: https://www.jstor.org/stable/2533158

On Certain Mathematical Problems in Two-Photon Laser Scanning Microscopy

Authors: Burcin Simsek, Satish Iyengar

Source: Mathematical Modelling and Analysis, Vol 22, Iss 5 (2017)

Subject Terms: dead period, finite horizon, inhomogeneous Poisson process, polynomial identities, waiting time, Mathematics, QA1-939

File Description: electronic resource

Relation: https://journals.vgtu.lt/index.php/MMA/article/view/915; https://doaj.org/toc/1392-6292; https://doaj.org/toc/1648-3510

Access URL: https://doaj.org/article/0f7f48824a3e48f89e77bb946fbaad2a

Bayesian Forecasting of an Inhomogeneous Poisson Process with Applications to Call Center Data

Authors: Weinberg, Jonathan, Brown, Lawrence D., Stroud, Jonathan R.

Source: Journal of the American Statistical Association, 2007 Dec 01. 102(480), 1185-1198.

Access URL: https://www.jstor.org/stable/27639969