Explore tweets tagged as #BayesianModelSelection
@Stats_MDPI
Stats MDPI
27 days
📄 This paper introduces a simple yet powerful new g-prior specification, with extensions to mixed models and insightful simulation results. 👉 https://t.co/xadKKMd1ZF #BayesianModelSelection #PriorElicitation #MixedModels #VariableSelection #BayesFactor
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@CavaliereGiu
Giuseppe Cavaliere
3 years
𝐋𝐢𝐧𝐤 at Daniele's @github: https://t.co/5e2spnSbgL
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@OhioLINKstatus
New OhioLINK ETDs
7 years
Zhou, Wei; Bayesian Model Selections for Log-binomial... #Log-binomialRegression #BayesianModelSelection
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@ResearchINTouch
ResearchINTouch
5 years
Dissociating perceptual awareness and postperceptual processing: the p300 is not a reliable marker of somatosensory target detection by Schröder P et al 2021 #BayesianModelSelection #electroencephalography #P300 #awareness #somatosensory #detection https://t.co/UqSlCfQHuR
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@hommedefer3
ironman
3 years
bayesian model selection lectures #iron勉強メモ
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@WhitesPhD
Daniele Bianchi
3 years
I'm posting on my Github the material for my course on Bayesian methods for model/variable selection. I will post a lecture a week for five weeks. Each lecture contains slides and Matlab codes. Link to first lecture: https://t.co/JIw00AT2YZ #econtwitter #AcademicTwitter 1/
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@WhitesPhD
Daniele Bianchi
3 years
The 5th lecture of my course on Bayesian methods for model/variable selection is on my Github Link: https://t.co/6BBozaBoLn The slides/codes cover: 1. Bayesian Probit reg 2. Bayesian Poisson reg 3. Bayesian quantile reg #econtwitter I hope you enjoy the material.
@WhitesPhD
Daniele Bianchi
3 years
The fourth lecture for my course on Bayesian methods for model/variable selection is now on my Github. Link: https://t.co/zXVL7TgpnX The lecture covers the properties and implementation of Bayesian model averaging within the context of linear regression models. #EconTwitter
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@WhitesPhD
Daniele Bianchi
3 years
The third lecture for my course on Bayesian methods for model/variance selection is now on Github. Link: https://t.co/QQzGc3Y5UP The lecture material covers: - Non-local priors - Spike-and-slab priors - Variable selection via post-processing #EconTwitter #AcademicTwitter /1
@WhitesPhD
Daniele Bianchi
3 years
The second lecture for my course on Bayesian methods for model/variable selection is on Github. Link: https://t.co/i4GrmRMBd8 The lecture covers: - Hierarchical shrinkage priors - Global-local shrinkage priors - Improving sampling efficiency #econtwitter #academictwitter 1/
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@WhitesPhD
Daniele Bianchi
3 years
The second lecture for my course on Bayesian methods for model/variable selection is on Github. Link: https://t.co/i4GrmRMBd8 The lecture covers: - Hierarchical shrinkage priors - Global-local shrinkage priors - Improving sampling efficiency #econtwitter #academictwitter 1/
@WhitesPhD
Daniele Bianchi
3 years
I'm posting on my Github the material for my course on Bayesian methods for model/variable selection. I will post a lecture a week for five weeks. Each lecture contains slides and Matlab codes. Link to first lecture: https://t.co/JIw00AT2YZ #econtwitter #AcademicTwitter 1/
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