A Simple Spatial Method for Identifying Point Clusters by Neighbourhood Relationships by Neftalí Sillero

“…In the virtual example, I joined two sets of random point processes following a Poisson distribution and a Thomas cluster process. In the real example, I used a point process from the distribution of individuals of two species of Iberian lizards in a mountainous area. …”
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ChIP-seq Analysis in R (CSAR): An R package for the statistical detection of protein-bound genomic regions by van Ham Roeland CHJ, Kaufmann Kerstin, Muiño Jose M, Angenent Gerco C, Krajewski Pawel

“…After normalization, sample and control are compared using a test based on the ratio test or the Poisson distribution. Test statistic thresholds to control the false discovery rate are obtained through random permutations. …”
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Neighborhood resources and risk of cognitive decline among a community-dwelling long-term care population in the U.S. by Min Hee Kim, Ruth Dunkle, Philippa Clarke

“…Methods: We used a longitudinal dataset that assessed over a two-year period older adults receiving state-funded home- and community-based services in Michigan Metropolitan areas (N = 9,802) and applied nonlinear mixed models with a random intercept with Poisson distribution. Results: Cognitively intact older adults were less likely to experience cognitive decline when they resided in resource-rich neighborhoods, compared to those cognitively intact but living in neighborhoods that lacked resources. …”
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Skewness-based characterization of silicon photomultipliers by S. Vinogradov

“…It assumes the Generalized Poisson distribution of the number of fired cells and provides simple closed-form analytical expressions for the parameter estimation. …”
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A Kolmogorov-Smirnov test for the molecular clock based on Bayesian ensembles of phylogenies. by Fernando Antoneli, Fernando M Passos, Luciano R Lopes, Marcelo R S Briones

“…The ECD is computed from the discretized branch lengths and the parameter λ of the expected Poisson distribution is calculated as the average branch length over the ensemble of trees. …”
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Robust radioactive sources research method using possibility particle filter by Peng Xu, Chen Fu, Zhi-Yuan Tan, Xing-fu Cai, Jin Qin

“…According to the inverse square law and the radiation counting governed by Poisson distribution, a radioactive source localization model was constructed. …”
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Eucalyptus cloeziana seed count data: a comparative analysis of statistical models by Thomas Bruno Michelon, Cesar Augusto Taconeli, Elisa Serra Negra Vieira, Maristela Panobianco

“…Compared to other adjustments, the normal distribution adjustment differed in the configuration of means submitted to the Tukey test, and although the data met all normality assumptions, the adjustment with the Poisson distribution was the most suitable for the count data from a germination test of E. cloeziana seeds.…”
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Movement distances for four small mammals in two Atlantic forests fragments, Southern Brazil by Daniela Oliveira de Lima, Luana Gabriele Arenhart Braun, Fabrício Luiz Skupien, Daniele Pereira Rodrigues, Jady de Oliveira Sausen

“…DSC was analyzed using Generalized Linear Models with Poisson distribution where the independent variables were sex, whether the animal was active or not in terms of reproduction, body weight, and climatic season. …”
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Methods for peptide identification by spectral comparison by Carrillo Brian, Yanofsky Corey M, Bergeron John JM, Bell Alexander W, Liu Jian, Beaudrie Christian EH, Kearney Robert E

“…First, we illustrate that the peak intensities follow a Poisson distribution. This implies that applying a square root transform will optimally stabilize the peak intensity variance. …”
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Impact of Population Emigration from Wuhan and Medical Support on COVID-19 Infection in China by Yang Yao, Yao Tian, Jing Zhou, Xin Diao, Ligai Di, Shengyu Wang

“…Methods: Data were obtained from The National Health Commission of People’s Republic of China, Chinese Center for Disease Control and Prevention and The National Health Commission of People’s Republic of Hubei Province. The Poisson distribution and normal approximate were used to analyse the relationship between population emigration from Wuhan and the probability of outbreaks and to predict the developmental trend of the epidemic situation. …”
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Long‐term monitoring of common spadefoot toad activity in a European steppe using barn owl pellets by Lukas Landler, Katharina Stefke

“…Methods We used an automated model selection procedure together with a GLM analysis using a zero inflated error Poisson distribution, to analyze the presence of Pelobates fuscus in barn owl pellets. …”
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Leaf wound induced ultraweak photon emission is suppressed under anoxic stress: Observations of Spathiphyllum under aerobic and anaerobic conditions using novel in vivo methodology... by Carl L Oros, Fabio Alves

“…Further examination of leaf wounding profile photon counts revealed that the pre-wounding basal state (aerobic and anoxic), the anoxic wounding state, and the post-wounding aerobic state statistics all approximate a Poisson distribution. It is additionally observed that aerobic wounding induces two distinct exponential decay events. …”
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Variational Autoencoder-Based Hybrid Recommendation With Poisson Factorization for Modeling Implicit Feedback by Iwao Tanuma, Tomoko Matsui

“…As a prior for the shared latent variables, we use a gamma distribution, which is a conjugate prior of a Poisson distribution. An implicit-derivative-based reparameterization trick enables the use of a gamma distribution in a variational autoencoder. …”
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The determinants of severe food insecurity in Africa using the longitudinal generalized Poisson mixed model by Adusei Bofa, Temesgen Zewotir

“…Generalized estimating equations were then applied to account for the overdispersion associated with the Poisson distribution. To make the interpretation of the results more meaningful, 10 PCA components were selected. …”
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Modeling the Spread of Network Viruses Based on Dynamic Quarantine by Ruifeng HAN, Liping FENG, Hongbin WANG, Qingyi ZHU

“…Furthermore, by using stochastic probability theory, under the assumption that the activity of network nodes follows a Poisson distribution with different degrees of activity, a mathematical expression is obtained for the number of network nodes that may be isolated at any one time. …”
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Evidence for over-dispersion in the distribution of clinical malaria episodes in children. by Tabitha Wanja Mwangi, Gregory Fegan, Thomas Neil Williams, Sam Muchina Kinyanjui, Robert William Snow, Kevin Marsh

“…It may be assumed that patterns of clinical malaria in children of similar age under the same level of exposure would follow a Poisson distribution with no over-dispersion. Longitudinal studies that have been conducted over many years suggest that some children may experience more episodes of clinical malaria than would be expected. …”
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Epidemiological study of scabies in district Haripur, Pakistan by Samina Yasmin, Suleman, Hanif Ullah, et al.

“…The distribution of the number of cases per family followed a Poisson distribution, demonstrating that all the families surveyed were equally exposed to the risk of scabies.…”
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The Geographically Weighted Multivariate Poisson Inverse Gaussian Regression Model and Its Applications by Selvi Mardalena, Purhadi Purhadi, Jerry Dwi Trijoyo Purnomo, Dedy Dwi Prastyo

“…This study aims to develop a method for multivariate spatial overdispersion count data with mixed Poisson distribution, namely the Geographically Weighted Multivariate Poisson Inverse Gaussian Regression (GWMPIGR) model. …”
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Bonus-Malus Premiums Based on Claim Frequency and the Size of Claims by Adisak Moumeesri, Tippatai Pongsart

“…The number of claims is assumed to follow a Poisson distribution, and the total number of claims with a size greater than the limit value is considered a binomial distribution. …”
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SAR IMAGE SEGMENTATION WITH UNKNOWN NUMBER OF CLASSES COMBINED VORONOI TESSELLATION AND RJMCMC ALGORITHM by Q. H. Zhao, Y. Li, Y. Wang

“…Instead of giving the number of classes <i>a priori</i>, it is considered as a random variable and subject to a Poisson distribution. Based on Voronoi tessellation, the image is divided into homogeneous polygons. …”
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