Bayesian

Rule growth and government effectiveness: why it takes the capacity to learn and coordinate to constrain rule growth
This paper asks whether strong bureaucracies can effectively constrain the continuously growing stock of rules in modern democracies …
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Rule growth and government effectiveness: why it takes the capacity to learn and coordinate to constrain rule growth
ggmcmc: Analysis of MCMC Samples and Bayesian Inference
ggmcmc is an R package for analyzing Markov chain Monte Carlo simulations from Bayesian inference. By using a well known example of …
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ggmcmc: Analysis of MCMC Samples and Bayesian Inference
Using ggmcmc

There is a pdf version of Using the ggmcmc package.

Why ggmcmc?

ggplot2, based on the grammar of graphics (Wilkinson et al. 2005), empowers R users by allowing them to flexibly crate graphics (Wickham 2009). Based on this idea, ggmcmc is aimed at bringing the design and implementation of ggplot2 to MCMC diagnostics, allowing Bayesian inference users to have better and more flexible visual diagnostic tools.

Mar 14, 2016 20 min read
The emergence of Regulatory Regionalism: transnational networks and the diffusion of regulatory agencies within regions
The regulatory regionalism approach has increasingly claimed that a new mode of regional governance is emerging globally. Regional …
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The emergence of Regulatory Regionalism: transnational networks and the diffusion of regulatory agencies within regions
EI competencies as a related but different characteristic than intelligence
Amid the swarm of debate about emotional intelligence (EI) among academics are claims that cognitive intelligence, or general mental …
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The Impact of e‐Government Promotion in Europe: Internet Dependence and Critical Mass
Governments and public bodies have been fostering the development of e‐Government services during the last decade, promoting more and …
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The Impact of e‐Government Promotion in Europe: Internet Dependence and Critical Mass