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Mod 4122015
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Mod 4122015ELEC446.Mod4122015 HistoryHide minor edits - Show changes to output Changed line 2 from:
!Module 412: Computational to:
!Module 412: Computational Inference (in years 2014 and 2015) Deleted lines 43-49:
Links: [[Mod412_2015 | Module 412 in 2015]] [[http://www.otago.ac.nz/physics/postgraduate/postgraduate-papers/otago050695.html#Mod12 | Department of Physics 400-level information]] Added lines 1-50:
(:notitle:) !Module 412: Computational Inference Module 412 develops '''Computational Inference''': Bayesian inference for uncertainty quantification, stochastic modelling and MCMC sampling, advanced Monte Carlo strategies, imaging and machine vision. Semester: 2 ''Recommended Preparation:'' Inverse Problems and Imaging module ''Lecturer:'' [[http://elec.otago.ac.nz/w/index.php/Colin_Fox | Colin Fox]]. Room 503. Ph 4797806. colin.fox 'at' otago.ac.nz ''Assessment:'' 30% assignments, 70% Exam ---- Resources: *''Lecture 1: ''Problem and Goals *Gareth Roberts' [[http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/roberts/st911/notes2012partiii.pdf | notes on Statistical Inference]] *''Lecture 2: ''Expectations *Adaptive rejection paper by Gilks Tan Best *''Lecture 3:'' MCMC basics * *''Lecture 4:'' Algorithmic Efficiency *Ulli Wollf's [[http://www.physik.hu-berlin.de/com/ALPHAsoft/ | UWerr MatLab code]] and documentation *''Lecture 5:'' Inverse Diffusion Problem *''Lecture 6:'' Image Reconstruction *''Lecture 7:'' Linear/Gaussian problems *John Bardsley's [[http://www.math.umt.edu/bardsley/papers/MCMCforUQinInverseProblems.pdf | RTO paper]] *''Lecture 8:'' Counting objects * *''Assignment 1:'' *[[Attach:Ass1_2014.pdf | Problem sheet]] *Matlab code for diffusion problem: [[Attach:Main.m | Main.m]] [[Attach:heat.m | heat.m]] *''Assignment 2:'' *[[Attach:Ass2_2014.pdf | Problem sheet]] *Matlab code for deblurring jupiter image: [[Attach:jupiter1.tif | jupiter1.tif]] [[Attach:jupiter.m | jupiter.m]] [[Attach:deconv1.m | deconv1.m]] *''Assignment 3:'' *[[Attach:Ass3_2014.pdf | Problem sheet]] *Image of good and bad cells in Matlab mat format [[Attach:slide.mat | slide.mat]], or as [[Attach:slide.tif | slide.tif]]. Matlab code [[Attach:makefake.m | makefake.m]] that generated the image, and uses functions [[Attach:putgood.m | putgood.m]] and [[Attach:putbad.m | putbad.m]]. Links: [[Mod412_2015 | Module 412 in 2015]] [[http://www.otago.ac.nz/physics/postgraduate/postgraduate-papers/otago050695.html#Mod12 | Department of Physics 400-level information]] |