Update README.md

Author: kose-y

README.md

@@ -9,7 +9,7 @@
 DistStat.jl: Towards unified programming for high-performance statistical computing environments in Julia
 
 
-### Installation Information
+## Installation Information
 
 Dependencies:
 - Julia >= 1.4
@@ -32,6 +32,13 @@ using Pkg
 pkg"add https://github.com/kose-y/DistStat.jl"
 ```
 
-### Examples
+## Examples
 
 Examples of nonnegative matrix factorization, multidimensional scaling, and l1-regularized Cox regression is provided in the directory `examples/`. Settings for multi-gpu experiments and multi-instance cloud experiments are also provided.
+
+## Acknowledgement
+This work was supported by [AWS Cloud Credits for Research](https://aws.amazon.com/research-credits/). This research has been conducted using the UK Biobank Resource under application number 48152.
+
+## Citation
+
+Ko S, Zhou H, Zhou J, and Won J-H (2020+). DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia. [arXiv:2010.16114](https://arxiv.org/abs/2010.16114).