Type II error rate from estimation of simulated outcomes using the EE algorithm.

Type II error rate from estimation of simulated outcomes using the EE algorithm.

<p>Type II error rate from estimation of simulated outcomes using the EE algorithm.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Alex Stivala (8356257) (author)
مؤلفون آخرون:	Peng Wang (34436) (author), Alessandro Lomi (4730772) (author)
منشور في:	2024
الموضوعات:	Genetics Biotechnology Cancer Science Policy Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified widely known exponential estimate parameters corresponding empirical examples using social contagion associated implements data structures 10 000 nodes work introduces alaamee source python software alaam parameter estimation source software social influence alaamee implements 100 nodes xlink "> stochastic approximation statistical inference network structure multiple forms including estimation fit testing ergm ). equilibrium expectation bipartite networks alaam models actor covariates
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Parameter estimates and estimated standard errors from the EE algorithm.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Type I error rate from estimation of simulated outcomes using the EE algorithm.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Type II error rate as the number of runs used for each sample is varied.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Comparison of MPNet and ALAAMEE software for ALAAM estimation.
حسب: Alex Stivala (8356257)
منشور في: (2024)

ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Models estimated using ALAAMEE for the Deezer networks, with liking jazz as the outcome variable.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Network descriptive statistics for the Deezer networks.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Example ALAAMEE goodness-of-fit output.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Example ALAAMEE output.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Python code for estimating parameters of an ALAAM model.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Configurations used in ALAAMs for directed networks.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Example change statistic implementations.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Configurations used in ALAAMs for undirected networks.
حسب: Alex Stivala (8356257)
منشور في: (2024)

Patent cooperation data in China’s integrated circuit industry from 2011 to 2020
حسب: Longfei Li (20491568)
منشور في: (2025)

Results from applying our algorithms to the 9 real-life networks.
حسب: Helal El-Zaatari (20442243)
منشور في: (2024)

The upper bounds of kstar, esp, dsp and nsp for the 9 real life networks.
حسب: Helal El-Zaatari (20442243)
منشور في: (2024)

Characteristics of 9 real-life undirected networks obtained from the literature.
حسب: Helal El-Zaatari (20442243)
منشور في: (2024)

Relative AIC change frequency.
حسب: Helal El-Zaatari (20442243)
منشور في: (2024)

Leftmost network denotes the observed Florentine marriage network.
حسب: Helal El-Zaatari (20442243)
منشور في: (2024)

Illustration of the dyadwise shared partner endogenous variable with <i>k</i> = 1, <i>k</i> = 2 and <i>k</i> = 3 respectively.
حسب: Helal El-Zaatari (20442243)
منشور في: (2024)

Contains the edge lists and vertex attributes for the nine networks used in this study as excel files.
حسب: Helal El-Zaatari (20442243)
منشور في: (2024)

A PRISMA-ScR checklist for the article, The application of exponential random graph models to online learning networks: a scoping review (update)
حسب: Masami Yoshida (19120128)
منشور في: (2024)

<b>Empirical Evaluation of GORA. Article: </b><b>Enhancing Sustainable IoT Systems through a Goal-Oriented Requirements Analysis Framework</b>
حسب: Jose Alfonso Aguilar-Calderón (11054385)
منشور في: (2025)

The neighborhood of BLIMP-1 in the <i>Drosophila melanogaster</i> networks at times-points (A) 16h, (B) 18h, and (C) 20h when the network is constructed using tvsfglasso at .
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Density estimates of degree distributions of the time-varying <i>Drosophila melanogaster</i> TF networks constructed with tvsfglasso at at time-points (A) 0h, and (B) 20h.
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Estimated degree of the time-varying TFs network constructed using tvsfglasso at (A) for the whole network and (B) for the TFs with the greatest increases in degree, as determined by the highest slope coefficients , + time. Different line types represent different TFs.
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Analysis of data replicates generated by simulator described in [12] (smooth Erdős-Rényi graph) using different glasso variants and tvglasso and tvsfglasso at .
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Analysis of data replicates generated by simulator described in [13] (non-scale-free network) using different glasso variants and tvglasso and tvsfglasso at .
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Analysis of data replicates generated by simulator described in [33] (a super-hub model) using different glasso variants and tvglasso and tvsfglasso at .
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Analysis of data replicates generated by simulator described in [12] (a smooth scale-free model) using different glasso variants and tvglasso and tvsfglasso at .
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Analysis of data replicates generated by simulator described in [18] (a scale-free model) using different glasso variants and tvsfglasso at .
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Analysis of data replicates generated by the R package huge [32] (a scale-free model) using different glasso variants and tvsfglasso at .
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Flowchart of the time-varying scale-free graphical lasso method for dynamic scale-free gene network modeling.
حسب: Markku Kuismin (2170918)
منشور في: (2025)

Cumulative median and mean (with margin of error for the 95% confidence intervals) of isolations, quarantines, and infections across all simulations, grouped by network type and the intervention strategy deployed.
حسب: Adithya Narayanan (21463849)
منشور في: (2025)

An overview of network characteristics and their corresponding outbreak simulation load.
حسب: Adithya Narayanan (21463849)
منشور في: (2025)

Features of contact tracing for existing and augmented intervention strategies.
حسب: Adithya Narayanan (21463849)
منشور في: (2025)

A comparison of the effect of tracing strategies on concurrent quarantines.
حسب: Adithya Narayanan (21463849)
منشور في: (2025)

Comparative illustrations of influence-based novel augmented tracing strategies with existing tracing strategies.
حسب: Adithya Narayanan (21463849)
منشور في: (2025)

XRDapp
حسب: Ihor Sobianin (20853089)
منشور في: (2025)

Catalogue of compact radio sources in Messier-82 from e-MERLIN observations
حسب: Sibongumusa Shungube (21197363)
منشور في: (2025)

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