Results 181 to 190 of about 3,128,130 (383)

Parametric and non-parametric Poisson regression for modelling of the arterial input function in positron emission tomography. [PDF]

open access: yesEJNMMI Phys, 2023
Matheson GJ   +7 more
europepmc   +1 more source

Predicting rare events using training data from stratified sampling designs, with application to human‐caused wildfire prediction

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Response‐based sampling is often used in modelling rare events from large, imbalanced data for efficiency. When modelling the event with logistic regression, the sampling design may be adjusted for using sampling weights or an offset. We propose a stratified sampling design for modelling rare events with large data which improves on previous ...
Johanna de Haan‐Ward   +2 more
wiley   +1 more source

A multivariate Poisson model based on a triangular comonotonic shock construction

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Multi‐dimensional data frequently occur in many different fields, including risk management, insurance, biology, environmental sciences, and many more. In analyzing multivariate data, it is imperative that the underlying modelling assumptions adequately reflect both the marginal behaviour and the associations between components.
Orla A. Murphy, Juliana Schulz
wiley   +1 more source

Retrospective sampling in MCMC with an application to COM‐Poisson regression [PDF]

open access: green, 2014
Charalampos Chanialidis   +3 more
openalex   +1 more source

Linear Regression of the Poisson Mean

open access: yes, 1982
The purpose of this thesis was to compare two estimation procedures, the method of least squares and the method of maximum likelihood, on sample data obtained from a Poisson distribution. Point estimates of the slope and intercept of the regression line and point estimates of the mean squared error for both the slope and intercept were obtained.
openaire   +3 more sources

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