StatC180/C236  Introduction to Bayesian Statistics

Course syllabus
 
Instructor:
  Juana Sanchez
Office hours:
Wednesday  4-5 pm and Friday, 4-5 pm and also  by appointment



Metropolis-Hoff
Chapter 10-finish

    Friday june 4  
Prior distributions
Hwk 5 due

Thursday June 10
(a) 3-6 pm
10 min max
presentation of your
project in power point
MS 5128.

(b) Turn in final written
version of your
project. No amendments
will be allowed after
that. No late projects
accepted under any
circumstances.



BAYES SITES
ISBA
SBSS (ASA)
WINBUGS Manuals

(in Intro to WB)



    
 LECTURE OUTLINES WITH READING ASSIGNMENTS
         
      Required textbook (PDH): free access to chapters from our library.You may download
them
      


FINAL CLASS PROJECT DUE DATES                                               Final project phase hints for common problems                                                                                          

Note percentage points for each part; they can
not be made up; all R code and output must battached in appendix, with comments and sections)
   
Friday, April 9: Turn in a paragraph explaining a research question that you would  like to see answered. This may or may not end up being the topic of your project. Explain why working on that topic is important to you and your field of studies. Specify the variables involved (must be more than 2) and whether this topic is part of your thesis/research/term paper for other class, etc. (points: 1)

Friday, April 16: (1) Identify several articles and books in the literature that have studied the question that you proposed. Start typing a section in your project where you write: the question you are interested in (revised after getting my comments) and what this literature has found to answer this question. Attach your articles to the the typed section and turn in the typed section and the articles. You will need all this information later to assess your prior distributions (3 pts)

Friday, April 23: 
Your data must be ready.  Add a new typed section of your paper where you describe the 
sources of the data and describe the variables from the data set that you will use, whether they are outcomes or explanatory variables,  sample size, type of data and code and units (categorical, numerical) and how it was obtained (i.e., experimental, observational, etc),whether there are missing values or not.  Print a few lines (no more than 5) of the data that you will use and put in an appendix. Address issues such as wether the data are in R format already. Turn in the updated paper, with the revised section that your turned in on April 6 and the new section describing the data. Either send me the data or stop by my office with your computer to show it to me. It is  very important that you talk only about the data you will use, even if this is just part of a bigger data set. (3 points)

Friday, May 7:  Summarize your data with basic summary statistics. Type a new section saying Data     summary. Turn in revised everything plus the new data summary session. ( 3 points)

Friday, May 14: Decision on Likelihood model and prior to be used. Write a section justifying the use of these models. Unknowns to do inference on. Assessment of priors on the parameters. Turn in all the things done up to now plus new section typed. Even though you may have hinted earlier what model you will use etc.. you still need to do this step. (3 points)

Friday, May 28:  Inference and prediction. Preliminary posterior and predictive results must be available (ok if done with simpler models than what you wanted to do). A typed section of your paper will contain the results and discussion of the results. Turn in updated paper with revisions of prior phases.  Explanation of computational methods used  must be included in the narrative. (5 points). Do not turn in just one section. Turn in the whole paper. The model used must be written in math form ( theta ~ binom(n, p_i ) ), etc...

June 10: Conclusions section, all revisions must have been completed. Turn in the final paper. Presentation in front of the class. 10 minutes. The paper turned in is final. See handout with instructions given to you in class.


                        

HOMEWORK

Homework 1 (Due 4/9)   Hwk 1 key





HWK  HINTS

Hwk 1 hints



R CORNER

sleep1.r (1.4)


 





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