Results 21 to 30 of about 550,309 (325)

The Modified Borel–Tanner (Mbt) Regression Model

open access: yesRevstat Statistical Journal, 2017
A new one-parameter family of discrete distributions is presented. It has some advantages against the Poisson distribution as a suitable model for modelling data with a high frequencies of zeros and showing over-dispersion (variance larger than the mean)
Emilio Gómez-Déniz   +2 more
doaj   +1 more source

Capacity of the covariance perceptron [PDF]

open access: yesJournal of Physics A: Mathematical and Theoretical, 2020
Abstract The classical perceptron is a simple neural network that performs a binary classification by a linear mapping between static inputs and outputs and application of a threshold. For small inputs, neural networks in a stationary state also perform an effectively linear input–output transformation, but of an entire time series ...
Dahmen, David   +2 more
openaire   +6 more sources

A Review on ROC Curves in the Presence of Covariates

open access: yesRevstat Statistical Journal, 2014
In this paper we review the literature on ROC curves in the presence of covariates. We discuss the different approaches that have been proposed in the literature to define, model, estimate and do asymptotics for ROC curves that incorporate covariates ...
Juan Carlos Pardo-Fernández   +2 more
doaj   +1 more source

Robust Testing of Paired Outcomes Incorporating Covariate Effects in Clustered Data with Informative Cluster Size

open access: yesStats, 2022
Paired outcomes are common in correlated clustered data where the main aim is to compare the distributions of the outcomes in a pair. In such clustered paired data, informative cluster sizes can occur when the number of pairs in a cluster (i.e., a ...
Sandipan Dutta
doaj   +1 more source

Robustness of meta-analyses in finding gene × environment interactions. [PDF]

open access: yesPLoS ONE, 2017
Meta-analyses that synthesize statistical evidence across studies have become important analytical tools for genetic studies. Inspired by the success of genome-wide association studies of the genetic main effect, researchers are searching for gene ...
Gang Shi, Arye Nehorai
doaj   +1 more source

Covariant Symanzik identities [PDF]

open access: yesProbability and Mathematical Physics, 2021
Classical isomorphism theorems due to Dynkin, Eisenbaum, Le Jan, and Sznitman establish equalities between the correlation functions or distributions of occupation times of random paths or ensembles of paths and Markovian fields, such as the discrete Gaussian free field.
Kassel, Adrien, Lévy, Thierry
openaire   +4 more sources

Modeling of Cellular Networks Using Stationary and Nonstationary Point Processes

open access: yesIEEE Access, 2018
The spatial topology of the base stations in wireless networks has a profound impact on their performance evaluation and analysis. It is important to identify a proper and accurate point process model before applying any theoretical stochastic geometry ...
Chunlin Chen   +3 more
doaj   +1 more source

Analysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputation [PDF]

open access: yes, 2014
We consider mark–recapture–recovery data with additional individual time-varying continuous covariate data. For such data it is common to specify the model parameters, and in particular the survival probabilities, as a function of these covariates to ...
Buckland, Stephen Terrence   +2 more
core   +2 more sources

Covariant Representability for Covariant Multilinear Operators [PDF]

open access: yesRocky Mountain Journal of Mathematics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

On tests of treatment-covariate interactions: An illustration of appropriate power and sample size calculations. [PDF]

open access: yesPLoS ONE, 2017
The appraisals of treatment-covariate interaction have theoretical and substantial implications in all scientific fields. Methodologically, the detection of interaction between categorical treatment levels and continuous covariate variables is analogous ...
Gwowen Shieh
doaj   +1 more source

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