Posts

Following my last post on using tensorflow for linear regression, in this post I am going to extend the scope to generalized linear models. >>> import tensorflow as tf >>> import tensorflow_probability as tfp >>> tfd = tfp.

Docker has been a really convenient tool for me to play with, and it has helped me both in terms of doing research and having fun. Recently I have been advertising Docker to my friends but my explanations are sometimes vague and not well-defined.

Some good practices on R, Python and bash programming, as well as a little note for myself. R Use .rds when saving only one object instead of .rdata, as readRDS() will allow you to assign a name for the object, while loading the .

Good tools can often boost productivity. I enjoy using the macOS a lot because of its Unix nature, delicate GUI, and its abundance of apps. It has been a important teammate for me on my academic path.

Recently I was asked by a friend for help. The background is that people in large cities, such as Shanghai, sometimes want to “escape from the city” and go to a resort in the suburban, or countryside areas.

The three Zazzi babies have grown bigger! The photos are taken on May 24th.

It is only until recently that I come to realize the importance of professional academic writing. After revising one of my own manuscripts over and over again with my advisors, and reviewing two papers for journals, I feel it is better if I write down some thoughts.

There are many packages in R that facilitate parallel computing. In this post, I intend to summarize some of the most popular functions/packages for this purpose. 1. The built-in parallel package The package parallel is included in R.

I disappeared from blogging for a few days…here are some news: A paper receives a major revision! New simulations and more clarifications are needed. I’m going to Chicago for a weekend.

I used to be an user of Sublime Text 3, which I think is a very nicely made app. The major usage of Sublime Text 3 for me include: write .