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Home PageELEC446.HomePage HistoryHide minor edits  Show changes to output Changed line 53 from:
[[Mod412_2015  Module 412 in 2015]], [[BUC5  BUC5 compute resources]] to:
[[Mod412_2015  Module 412 in 2015]], [[BUC5  BUC5 compute resources]], [[Blockkurs Blockkurs on Markov Chain Monte Carlo for Inverse Problems in PDEs]] Changed line 53 from:
[[Mod412_2015  Module 412 in 2015]], [[BUC5  BUC5 compute resources]] to:
[[Mod412_2015  Module 412 in 2015]], [[BUC5  BUC5 compute resources]], , [[Blockkurs Blockkurs on Markov Chain Monte Carlo for Inverse Problems in PDEs]] Changed line 53 from:
[[Mod412_2015  Module 412 in 2015]] to:
[[Mod412_2015  Module 412 in 2015]], [[BUC5  BUC5 compute resources]] Changed line 47 from:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat  slide.mat]], or as [[slide.tifslide.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]]. to:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat  slide.mat]], or as [[Attach:slide.tifslide.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]]. Changed line 47 from:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat  slide.mat]], or as [[ to:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat  slide.mat]], or as [[slide.tifslide.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]]. Changed line 47 from:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat  slide.mat]], or as [[ to:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat  slide.mat]], or as [[https://coursesupport.physics.otago.ac.nz/wiki/pmwiki.php/ELEC445/HomePage?action=download&upname=slide.tifslide.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]]. Changed line 34 from:
* to:
*[[Attach:ChristenFox2005.pdf  Paper on MCMC using an approximation]], ADAMH Changed line 32 from:
*Attach: to:
*[[Attach:MTC.pdf  Paper on MTC for image deblurring ]] Changed line 32 from:
*Paper on MTO for image deblurring to:
*Attach:Paper on MTO for image deblurring Changed line 41 from:
* Useful code snippets: [[Attach:tauvsd.m  tauvsd.m]] (an example of running AM on multivariate normals), [[Attach:stdnorm_example.m  stdnorm_example.m]] (an example of using [=IA2RMS=] to sample from N(0,1)). to:
* Useful code snippets: [[Attach:tauvsd.m  tauvsd.m]] (an example of running AM on multivariate normals), [[Attach:stdnorm_example.m  stdnorm_example.m]] (an example of using [=IA2RMS=] to sample from N(0,1)), [[Attach:mcgaus.m  mcgaus.m]] (RWM for N(0,1)). Changed line 41 from:
* Useful code snippets: [[Attach:tauvsd.m  tauvsd.m]] (an example of running AM on multivariate normals), [[Attach:stdnorm_example.m  stdnorm_example.m]] (an example of using IA2RMS to sample from N(0,1)). to:
* Useful code snippets: [[Attach:tauvsd.m  tauvsd.m]] (an example of running AM on multivariate normals), [[Attach:stdnorm_example.m  stdnorm_example.m]] (an example of using [=IA2RMS=] to sample from N(0,1)). Added line 41:
* Useful code snippets: [[Attach:tauvsd.m  tauvsd.m]] (an example of running AM on multivariate normals), [[Attach:stdnorm_example.m  stdnorm_example.m]] (an example of using IA2RMS to sample from N(0,1)). Changed line 22 from:
* Inverse Problems [[https://coursesupport.physics.otago.ac.nz/wiki/pmwiki.php/ELEC445/HomePage?action=download&upname=IPNotes2016.pdf to:
* ELEC445 Inverse Problems [[https://coursesupport.physics.otago.ac.nz/wiki/pmwiki.php/ELEC445/HomePage?action=download&upname=IPNotes2016.pdfcourse notes]] Changed line 34 from:
* to:
*Paper on MCMC using an approximation, ADAMH Changed lines 2933 from:
*''Lecture 4:'' to:
*''Lecture 4:'' Inverse Diffusion Problem *''Lecture 5:'' Image Models *''Lecture 6:'' LinearGaussian Inverse Problems *Paper on MTO for image deblurring *''Lecture 7:'' Approximations Changed line 39 from:
*[[Attach:Ass1_ to:
*[[Attach:Ass1_2016.pdf  Problem sheet]] Changed line 42 from:
*[[Attach:Ass2_ to:
*[[Attach:Ass2_2016.pdf  Problem sheet]] Changed line 45 from:
*[[Attach:Ass3_ to:
*[[Attach:Ass3_2016.pdf  Problem sheet]] Changed line 27 from:
*AM: [[Attach:RobertsRosenthal2009  Roberts and Rosenthal 2009 paper]] and [[http://helios.fmi.fi/~lainema/mcmc/  Marko Laine's MCMC toolbox]] to:
*AM: [[Attach:RobertsRosenthal2009.pdf  Roberts and Rosenthal 2009 paper]] and [[http://helios.fmi.fi/~lainema/mcmc/  Marko Laine's MCMC toolbox]] Changed line 27 from:
*AM: to:
*AM: [[Attach:RobertsRosenthal2009  Roberts and Rosenthal 2009 paper]] and [[http://helios.fmi.fi/~lainema/mcmc/  Marko Laine's MCMC toolbox]] Changed line 24 from:
*''Lecture 2: ''Evaluating Expectations to:
*''Lecture 2: ''Evaluating Expectations, MH MCMC proposals in few dimensions Changed line 26 from:
*[=IA2RMS=]: to:
*[=IA2RMS=]: [[Attach:MartinoReadLuengo2015.pdf  Martino Read Luengo 2015 paper]] and [[http://a2rms.sourceforge.net/  Matlab package]] Changed line 25 from:
*''Lecture 3:'' Adaptive MCMCs and Efficiency to:
*''Lecture 3:'' Adaptive [=MCMCs=] and Efficiency Changed line 26 from:
*=IA2RMS=: paper and Matlab package to:
*[=IA2RMS=]: paper and Matlab package Changed line 26 from:
*IA2RMS: paper and Matlab package to:
*=IA2RMS=: paper and Matlab package Added lines 1516:
''Lectures and Tutorials:'' There is a 2hour lecture and 1hour tutorial per week Changed lines 2427 from:
*''Lecture 2: ''Expectations to:
*''Lecture 2: ''Evaluating Expectations: Monte Carlo and Markov chains in few dimensions *''Lecture 3:'' Adaptive MCMCs and Efficiency *IA2RMS: paper and Matlab package *AM: Roberts and Rosenthal 2009 paper and Marko Laine's MCMC toolbox *Ulli Wollf's [[http://www.physik.huberlin.de/com/ALPHAsoft/  UWerr MatLab code]] and documentation Changed line 30 from:
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* Inverse Problems [[ to:
* Inverse Problems [[https://coursesupport.physics.otago.ac.nz/wiki/pmwiki.php/ELEC445/HomePage?action=download&upname=IPNotes2016.pdf2016 version of the course notes]] Changed line 20 from:
* Inverse Problems to:
* Inverse Problems [[Attach:IPNotes2016.pdf2016 version of the course notes]] Changed lines 23 from:
! to:
!ELEC 446: Computational Inference ELEC 446 develops '''Computational Inference''': Changed lines 1314 from:
''Assessment:'' 30% assignments, 70% to:
''Assessment:'' 30% assignments, 70% Project (ELEC446 will be internally assessed in 2016) Added line 20:
* Inverse Problems course notes [[http://www2.warwick.ac.uk/fac/sci/statistics/staff/academicresearch/roberts/st911/notes2012partiii.pdf  notes on Statistical Inference]] Added lines 148:
(: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/academicresearch/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.huberlin.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: [[http://www.otago.ac.nz/physics/postgraduate/postgraduatepapers/otago050695.html#Mod12  Department of Physics 400level information]] 