Results 241 to 250 of about 5,240,370 (291)

Bayesian hierarchical spatial ecological model assessing the nexus of vegetation index, insecticide-treated bed-nets and livestock cattle density on lymphatic filariasis transmission. [PDF]

BMC Public Health
Okunlola OA, Okewole DM, Oyeyemi OT.
europepmc   +1 more source

Bayesian variable selection in sample selection models using spike-and-slab priors. [PDF]

Comput Stat
Iqbal AJ, Ogundimu EO, Rubio FJ.
europepmc   +1 more source

Estimation of the global burden of tungiasis in endemic countries using a disability adjusted life-years modelling approach. [PDF]

BMC Glob Public Health
Antonopoulos A, Elson L, Krücken J, Thielecke M, Mutebi F, Yapi RB, Fillinger U, Feldmeier H, Nyangacha R, Kuispond NS, Laken EK, Carlos RSA, Charlier J, von Samson-Himmelstjerna G.   +13 more
europepmc   +1 more source

Strain-dependent differences in the capacity of peste des petits ruminants virus to infect antigen-presenting cells. [PDF]

J Virol
Bouziane A, Lasserre V, Eloiflin R-J, Chambon M, Piro-Mégy C, Guendouz S, Holzmuller P, Totté P, Bataille A.   +8 more
europepmc   +1 more source

ASPEN: Robust detection of allelic dynamics in single cell RNA-seq. [PDF]

PLoS Comput Biol
Petrova V, Niu M, Vierbuchen TS, Wong ES.   +3 more
europepmc   +1 more source

Anomaly Detection for Automated Data Quality Monitoring in the CMS Detector. [PDF]

EPJ Res Infrastruct
Brinkerhoff A, Sutantawibul C, Suarez I, White R, Daumann C, Guiang J, Freer C, May S, Marsh B, Acosta D, Aubuchon A, Barberis E, Bundock A, Campagnari C, Collins E, Epps P, Erdmann J, Flaecher H, Huang J, Nguyen V, Nie R, Paramesvaran S, Rotter J, Salyer K, Sawant S, Sheokand T, Wood D, the CMS Muon Detector Collaboration.   +27 more
europepmc   +1 more source

Bayesian Inference for the Beta-Binomial Distribution via Polynomial Expansions

Journal of Computational and Graphical Statistics, 2002
A commonly used paradigm in modeling count data is to assume that individual counts are generated from a Binomial distribution, with probabilities varying between individuals according to a Beta distribution. The marginal distribution of the counts is then Beta-Binomial. Bradlow, Hardie, and Fader (2002, p.
Everson, Philip J., Bradlow, E. T.
openaire   +3 more sources

Empirical-distribution-function Tests for the Beta-Binomial Model

Journal of Applied Statistics, 2007
Abstract Empirical-distribution-function (EDF) goodness-of-fit tests are considered for the beta-binomial model. The testing procedures based on EDF statistics are given. A Monte Carlo study is conducted to investigate the accuracy and power of the tests against various alternative distributions.
Chien-Tai Lin, Cheng-Chieh Chou
openaire   +2 more sources