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niandra82
  • Member for 9 years
  • Last seen this week
  • Rome, Italy
10 votes

Compute the likelihood in Metropolis–Hastings: How does it relate to a posterior in Bayesian Analysis?

7 votes
Accepted

What is the difference between (universal) kriging and spatial autoregressive models?

7 votes
Accepted

How to understand the log marginal likelihood of a Gaussian Process?

7 votes
Accepted

regression for angular/circular data

6 votes
Accepted

How to sample from the distribution of a Gaussian scale parameter

4 votes
Accepted

bayesian logistic regression - gaussian distribution on parameters?

3 votes

Finite mixture models - Basic understanding

3 votes

Is there a package for three parameter inverse gaussian or lognormal distributions in C++?

3 votes

Linear Regression with both variables centered on 0

3 votes

Is a combination of binomially distributed random variables also binomially distributed?

2 votes
Accepted

Gibbs Sampling Inserting Some Known Predictors

1 vote
Accepted

Spatially auto-regressive two-stage model

1 vote

Can I subsample a large dataset at every MCMC iteration?

1 vote

Statistical testing against empirical density function

1 vote
Accepted

R Error in chol.default(A) krigeST from gstat package

1 vote

How do we obtain the probability density of a truncated regression with an upper and lower bound

1 vote

Calculating joint probabilities from conditional probabilities, categorical variables

1 vote
Accepted

Compute the likelihood in Metropolis–Hastings: How does it relate to a posterior in Bayesian Analysis?

1 vote

Does this bounded, continuous probability distribution have a name?

1 vote
Accepted

How to model the prior distribution of several Gaussians with known parameters

1 vote
Accepted

Why is this matrix code not behaving?

0 votes

Direct parametrization of Cholesky decomposition of spatial covariance matrix

0 votes

Is there a desription in the literature of a Normal hierarchical model with hyperparameters for both the mean and the standard deviation?

0 votes

Can any data be transformed into a standard normal distribution?

0 votes

Marginal probability density of x (obs) obtained by integrating x(missing)

0 votes

Why representation of AR process comes up in estimation

0 votes

Hierarchical Bayesian Modeling

0 votes
Accepted

Is a valid correlation function on $R^2$ (a plane) also a valid correlation function on a cylinder

-1 votes

Overfitting on Missing Value Imputations