Results 21 to 30 of about 540,575 (323)
Covariant Symanzik identities [PDF]
Probability 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
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An introduction to the full random effects model
CPT: Pharmacometrics & Systems Pharmacology, 2022 The full random‐effects model (FREM) is a method for determining covariate effects in mixed‐effects models. Covariates are modeled as random variables, described by mean and variance.
Gunnar Yngman +4 more
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Stats, 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
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Determination of environmental factors affecting the distribution of plant species in northern Zagros forests (Case study: Armardeh Forest, Baneh) [PDF]
مجله جنگل ایران, 2015 Northern Zagros forests are one of the most important ecosystems in Iran from ecological and socio-economic points of view. This study was done to determine the most important gradients affecting on plant species distribution by using ordination methods.
Somayeh Gaderzadeh +3 more
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The Modified Borel–Tanner (Mbt) Regression Model
Revstat 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
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A Review on ROC Curves in the Presence of Covariates
Revstat 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
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Robustness of meta-analyses in finding gene × environment interactions. [PDF]
PLoS 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
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From patterned response dependency to structured covariate dependency: categorical-pattern-matching [PDF]
, 2017 Data generated from a system of interest typically consists of measurements from an ensemble of subjects across multiple response and covariate features, and is naturally represented by one response-matrix against one covariate-matrix.
Fushing, Hsieh +3 more
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Femtosecond covariance spectroscopy [PDF]
Proceedings of the National Academy of Sciences, 2019 Significance Here we establish femtosecond covariance spectroscopy as a technique that uses ultrashort stochastic light pulses to measure nonlinear material responses. By using pulses with spectrally uncorrelated fluctuations we can leverage on the noise and consider each repetition of the experiment as a measurement under different ...
Angela Montanaro +19 more
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Modeling of Cellular Networks Using Stationary and Nonstationary Point Processes
IEEE 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
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