Results 21 to 30 of about 80,138 (166)
Combinatorial Clustering and the Beta Negative Binomial Process [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011 We develop a Bayesian nonparametric approach to a general family of latent class problems in which individuals can belong simultaneously to multiple classes and where each class can be exhibited multiple times by an individual.
Tamara Broderick +3 more
semanticscholar +1 more source
Asymptotic inversion of the binomial and negative binomial cumulative distribution functions [PDF]
Electronic Transactions on Numerical Analysis, 2020 The computation and inversion of the binomial and negative binomial cumulative distribution functions play a key role in many applications. In this paper, we explain how methods used for the central beta distribution function (described in [2]) can be ...
A. Gil, J. Segura, N. Temme
semanticscholar +1 more source
A New Generalization of Negative Ploya-Eggenberger Distribution and its Applications [PDF]
, 2007 A new generalization of negative Polya-Eggenberger distribution (GNPED) has been obtained by mixing the negative binomial distribution with generalized beta distribution-Π defined by Nadarajah and Kotz (2003).
Ahmad, Sheikh Nilal, Hassan, Anwar
core +2 more sources
Size-Biased Generalized Negative Binomial Distribution [PDF]
, 2008 A size biased generalized negative binomial distribution (SBGNBD) is defined and a recurrence relationship for the moments of SBGNBD is established. The Bayes’ estimator for a parametric function of one parameter when two other parameters of a known size-
Mir, Khurshid Ahmad
core +2 more sources
Diagnostics, 2022 Background: Gastric signet ring cell carcinoma (GSRCC) is a subset of gastric cancer with distinct histological and inconsistent prognosis outcome. Currently, the association between the adequate regional lymph node and proper nodal staging in GSRCC is ...
Chaoran Yu +6 more
doaj +1 more source
Double Generalized Beta-Binomial and Negative Binomial Regression Models
Revista Colombiana de Estadística, 2017 Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data.
EDILBERTO CEPEDA-CUERVO +1 more
doaj +1 more source
Ecological and pest-management implications of sex differences in scarab landing patterns on grape vines [PDF]
PeerJ, 2017 Background Melolonthinae beetles, comprising different white grub species, are a globally-distributed pest group. Their larvae feed on roots of several crop and forestry species, and adults can cause severe defoliation. In New Zealand, the endemic scarab
Mauricio González-Chang +4 more
doaj +2 more sources
Migraine day frequency in migraine prevention: longitudinal modelling approaches
BMC Medical Research Methodology, 2019 Background Health economic models are critical tools to inform reimbursement agencies on health care interventions. Many clinical trials report outcomes using the frequency of an event over a set period of time, for example, the primary efficacy outcome ...
Gian Luca Di Tanna +7 more
doaj +1 more source
Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation [PDF]
, 2018 Estimating the parameter of a Bernoulli process arises in many applications, including photon-efficient active imaging where each illumination period is regarded as a single Bernoulli trial.
Castañón, David +3 more
core +1 more source
Frontiers in Plant Science, 2020 Verticillium wilt, caused by Verticillium dahliae, challenges olive cultivation and an Integrated Disease Management (IDM) approach is the best-suited tool to combat it.
Eduardo Ostos +7 more
doaj +1 more source