mtholder.github.io/home/

The syllabus is available as a pdf by clicking here .

Instructors (office hours by appointment):

Ford Ballantyne	fb4@ku.edu	864-1868	154 Higuchi
John Kelly	jkk@ku.edu	864-3706	5005 Haworth
Mark Holder	mtholder@ku.edu	864-5789	6031 Haworth

Grades will be based on class participation and homework assignments. We will have approximately one homework assignment per week.

Slides

Date	Topic and Links	Assignments
Week 1 Jan 24, Jan 26	Probability, random variables, distributions
Week 2 Jan 31, Feb 02	Random samples, sample distributions, likelihood
Week 3 Feb 07, Feb 09	Explicitly specifying variability: likelihood examples and Bayes' rule. Notes on probability by Bálint Tóth	Assignment 1 (due Wed. Feb 16th)
Week 4 Feb 14, Feb 16	Likelihood examples and maximum likelihood estimation	Assignment 2 (due Wed. Feb 23rd).
Week 5 Feb 21, Feb 23	Review / Likelihoo ratio test statistic
Week 6 Feb 28, Mar 02	Model Selection/Parametric bootstrapping Some notes from lecture. .	Assignment 3 . The example to contemplate for Monday's class
Week 7 Mar 07, Mar 09	Computational aspects: numerical optimization. Notes on sufficiency and identifiability
Week 8 Mar 14, Mar 16	Computational aspects: numerical optimization (continued) generalMismatchedFights.R.txt - R script generalMismatchedFights.py.txt - Python script genericMultiParamLRTest.py.txt - a more general Python script simpleData.txt - data set used by the R and "generic" Python script numerical_opt.pdf notes.	2011_LHM_HW4.txt the homework assignment. templateParametricBoot.py.txt (probably the best python template for the homework).
Mar 21 - Mar 27	SPRING BREAK
Week 9 Mar 28, Mar 30	Generalized Linear Models	Homework 5 2011_LHM_HW5.pdf Homework 5 Excel spreadsheat CAD_data.xls Template for the homework: hw5templateParametricBoot.py.txt
Week 10 Apr 04, Apr 06	Generalized Linear Models (continued)
Week 11 Apr 11, Apr 13	Generalized Linear Models (continued)
Week 12 Apr 18, Apr 20	more Generalized Linear Models	Homework 6 (due Wed. Apr 27th): HW6.doc Updated Apr. 21 Data file: skinks_eat_bugs.csv Template: template_HW6.py.txt Updated Apr. 23
Week 13 Apr 25, Apr 27	Computational aspects of Bayesian inference: Markov chain Monte Carlo (MCMC). Some notes: 2011_lhm_bayesian_mcmc_1.pdf
Week 14 May 02, May 04	Multiparameter MCMC. latent_variable_MCMC.pdf (notes) Code for MCMC over the five parameters: gekko_glm_mcmc.py.txt Code for MCMC over the five parameters and the latent variables: latent_gekko_svl.py.txt Slides for Wed, May 4th lecture latentVarSlides.pdf Peter Green posts a link to "Trans-dimensional Markov chain Monte Carlo" on his site: http://www.maths.bris.ac.uk/~mapjg/Papers.html	Homework 7: 2011_LHM_HW7.pdf the data: fertilization_data.csv the (hopefully) easier template to use: 2011_LHM_HW7_template.py.txt
Week 15 May 09, May 11	Hastings ratio and model jumping Some slides: hastingsRatio.pdf More slides: bayesFactorLecture.pdf	Homework 8: 2011_LHM_HW8.pdf