Which is a good summary of a multimodal posterior?
Multimodal posterior distributions
Posts by Tag
- Mixture Models 3
- Bayesian statistics 3
- Guide 2
- Cluster Allocations 2
- MCMC 2
- General discussion 1
- Factor models 1
- Identifiability 1
- Computational statistics 1
- GMRF 1
- INLA 1
- Bayesian inference 1
- Variational Bayes 1
- Black-Box algorithm 1
- Clustering 1
- Statistical modelling 1
- Application 1
Mixture Models
Nested mixtures of finite mixtures
Breve introduzione al problema Dati e obiettivo dell’analisi
Ladies and gentlemen… On your marks!
Mixture models Si consideri la seguente specificazione gerarchica di un modello mistura
Bayesian statistics
Bayesian Computing with Integrated Nested Laplace Approximation: An Overview
Introduzione Il metodo conosciuto come integrated nested Laplace approximation (INLA) nasce per fornire un’alternativa efficiente ad approcci computazionalm...
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Struttura del paper
Which is a good summary of a multimodal posterior?
Multimodal posterior distributions
Guide
Il blog: dietro le quinte
In questo post spiego un po’ come funziona il blog e come mantenerlo, principalmente per avere una reference futura.
How to be a blog posters
Short tutorial on how to create blog posts for paperinik.
Cluster Allocations
Which is a good summary of a multimodal posterior?
Multimodal posterior distributions
Ladies and gentlemen… On your marks!
Mixture models Si consideri la seguente specificazione gerarchica di un modello mistura
MCMC
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Struttura del paper
Which is a good summary of a multimodal posterior?
Multimodal posterior distributions
General discussion
What are the most important statistical ideas of the past 50 years?
L’articolo What are the most important statistical ideas of the past 50 years? esamina ed approfondisce quelle che sono, secondo i due autori Andrew Gelman e...
Factor models
Which is a good summary of a multimodal posterior?
Multimodal posterior distributions
Identifiability
Which is a good summary of a multimodal posterior?
Multimodal posterior distributions
Computational statistics
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Struttura del paper
GMRF
Bayesian Computing with Integrated Nested Laplace Approximation: An Overview
Introduzione Il metodo conosciuto come integrated nested Laplace approximation (INLA) nasce per fornire un’alternativa efficiente ad approcci computazionalm...
INLA
Bayesian Computing with Integrated Nested Laplace Approximation: An Overview
Introduzione Il metodo conosciuto come integrated nested Laplace approximation (INLA) nasce per fornire un’alternativa efficiente ad approcci computazionalm...
Bayesian inference
Generalized Variational Inference and its properties
Struttura del paper L’articolo dal titolo “Generalized Variational Inference: Three arguments for deriving new Posteriors” di Jeremias Knoblauch, Jack Jewson...
Variational Bayes
Generalized Variational Inference and its properties
Struttura del paper L’articolo dal titolo “Generalized Variational Inference: Three arguments for deriving new Posteriors” di Jeremias Knoblauch, Jack Jewson...
Black-Box algorithm
Generalized Variational Inference and its properties
Struttura del paper L’articolo dal titolo “Generalized Variational Inference: Three arguments for deriving new Posteriors” di Jeremias Knoblauch, Jack Jewson...