# Rarely Updated Blog

### Variational Inference for MRP with Reliable Posterior Distributions

Part 7- Putting it all together

MRP

Variational Inference

**Note:**Since writing this post, Pathfinder (described below as well in Section 5) has become available in CmdStan, which poses a problem for this concluding post to the series.

### Variational Inference for MRP with Reliable Posterior Distributions

Part 6- Diagnostics

MRP

Variational Inference

Diagnostics

This is section 6 in my series on using…

### Variational Inference for MRP with Reliable Posterior Distributions

Part 5- Normalizing Flows

MRP

Variational Inference

Normalizing Flows

This is section 5 in my series on using…

### Variational Inference for MRP with Reliable Posterior Distributions

Part 3- Alternatives to KL Divergence

MRP

Variational Inference

**Note:**I’ve gotten a lot more pessimistic about how generally useful the alternatives to simple KL-Divergence are on their own since writing this post. I still think these are…

### Variational Inference for MRP with Reliable Posterior Distributions

Introductions- things to do, places to be

MRP

BART

Variational Inference

This post introduces a series I intend to write, exploring using Variational Inference to massively speed up running complex survey estimation models like variants of Multilevel Regression and…

### Why the normal distribution?

From Old Website

When I was first studying probability theory as an undergrad, I had a bit of a conceptual hang-up with the Central Limit Theorem. Simulating it in R gave a nice visual of how each additional random variable smoothed out some of the original distribution’s individuality, and asymptotically we were left with a more…

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