Contents

## General Information

## Part I: General Topics

- The way we read and present academic work
- A brief language guide for statistical writing
- The structure of statistical papers
- Typesetting your manuscript

## Part II: Statistical Topics

### Guide for presentations

You are supposed to work as a team (2-4 people) for each presentation topic. Please reply below to select the topic (with “Presentation Topic”) you want to present. This work counts 50% of your final score.

### Presentation Topics

**Presentation Topic**(Nov 20): Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation.*the Journal of machine Learning research*,*3*, 993-1022.**Presentation Topic**(Nov 27): Blei, D. M., & Lafferty, J. D. (2006). Dynamic topic models. In*Proceedings of the 23rd international conference on Machine learning*(pp. 113-120). ACM.- Lecture (Dec 4): Introduction to Bayesian Inference
**Presentation Topic**(Dec 11): Mcauliffe, J. D., & Blei, D. M. (2008). Supervised topic models. In*Advances in neural information processing systems*(pp. 121-128).**Presentation Topic**(Dec 18): Blei, D., & Lafferty, J. (2006). Correlated topic models.*Advances in neural information processing systems*,*18*, 147.**Presentation Topic**(Dec 25): Teh, Y. W., Jordan, M. I., Beal, M. J., & Blei, D. M. (2006). Hierarchical dirichlet processes.*Journal of the American Statistical Association*,*101*(476).**Presentation Topic**(Jan 8): Blei, D. M., & Jordan, M. I. (2006). Variational inference for Dirichlet process mixtures.*Bayesian analysis*,*1*(1), 121-143.**Presentation Topic**(Jan 15): Hoffman, M. D., Blei, D. M., Wang, C., & Paisley, J. (2013). Stochastic variational inference.*The Journal of Machine Learning Research*,*14*(1), 1303-1347.

## 19 replies on “Academic English in Statistics (2015 Fall)”

topic 3

3.Lecture (Dec 4): Introduction to Bayesian Inference

choose Topic 1″Latent dirichlet allocation”

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topic 5

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topic 5

Topic 5

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no.4

4.Presentation Topic (Dec 11): Mcauliffe, J. D., & Blei, D. M. (2008). Supervised topic models. In Advances in neural information processing systems (pp. 121-128).

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2Presentation Topic (Nov 27): Blei, D. M., & Lafferty, J. D. (2006). Dynamic topic models. In Proceedings of the 23rd international conference on Machine learning (pp. 113-120). ACM.

writing this post only because I forgot to write topic in the former posts