index.json

[{"authors":["admin"],"categories":null,"content":"I spend my time teaching stats, coding—then fixing—bugs, pandering to my pets, and making gin.\n","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"2525497d367e79493fd32b198b28f040","permalink":"https://cmjt.github.io/authors/admin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/admin/","section":"authors","summary":"I spend my time teaching stats, coding—then fixing—bugs, pandering to my pets, and making gin.","tags":null,"title":"Charlotte M. Jones-Todd","type":"authors"},{"authors":null,"categories":null,"content":"This project will involve using a Bayesian approach to estimate parameters of a void point process. No prior knowledge of point processes is required; however, a student should be comfortable with the concepts covered in STATS730 and STATS731.\n","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"fba5bfc6c4d93b233d09267672c95e1f","permalink":"https://cmjt.github.io/project/void/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/project/void/","section":"project","summary":"Bayesian, point processes","tags":["honours","masters"],"title":"Estimating parameters of a void process using a Bayesian approach","type":"project"},{"authors":null,"categories":null,"content":"A set of locations in time and space is a point pattern: earthquake epicenters, burglaries, animal habitats. The arrangement of these points is generated by a combination of deterministic and stochastic processes. To adequately model data generated by such mechanisms, it is key that a framework is developed to correctly account for both the spatial and the temporal dependencies. Models that incorporate random fields are fast becoming the preferred tool of choice. These allow us to account for inherent variations and spatial dependencies without demanding knowledge of the generating mechanisms. However, we currently lack appropriate measure of fit for these models. This project will look at goodness-of-fit for a range of point process models, using simulation based approaches to better understand how different cross validation regimes affects inference. No familiarity with point processes statistics is needed; however, strong R programming skills are required and familiarity with C++ would be advantageous. Good grades in STATS310 and STATS330 would also be beneficial.\n","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"700900328cc61176ad6901ebf8ca8425","permalink":"https://cmjt.github.io/project/pp/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/project/pp/","section":"project","summary":"programming, point processes, simulation","tags":["honours","masters"],"title":"Goodness-of-fit for point process models?","type":"project"},{"authors":null,"categories":null,"content":"vested is an Rshiny application that implements a number of different simulated experiments. The application is used in-course to aid in teaching experimental design to biostatistics students. This project would be to convert/rewrite vested (currently written in R) into JavaScript code. Although, much of the technical details are prescribed there is plenty of scope in the design, aesthetics, and layout of the application for creativity!\nStrong JavaScript coding skills. R/Rshiny skills desirable. Artistic skills a bonus! Good grades in CS335 and/or CS373 would also be beneficial.\n","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"eb49598a7c539b21e801dcb8e4c34120","permalink":"https://cmjt.github.io/project/puzzle/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/project/puzzle/","section":"project","summary":"gamification, statistical theory, JavaScript, RShiny","tags":["honours","masters"],"title":"Rewriting an RShiny application that implements virtual experiments in JavaScript","type":"project"},{"authors":null,"categories":null,"content":"   Conference       #vISEC2020 Slides Rmarkdown file   NZSA 2022 Slides Rmarkdown file   St Andrews \u0026amp; Glasgow seminar Slides Rmarkdown file   Biometrics in the Bay of Islands 2023 Slides Rmarkdown file   NZMASP 2023 Slides Rmarkdown file    ","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"72ce22bff6f9614767955e6cbd9c4add","permalink":"https://cmjt.github.io/talks/talks/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/talks/talks/","section":"talks","summary":"Links to slides for selected talks","tags":null,"title":"Slides","type":"talks"},{"authors":null,"categories":null,"content":"Ingredients:\n Sourdough starter 950g strong white bread flour 150g wholemeal flour (+ a little for dusting) 20g salt 850g hand temperature water 20g of rice flour  Leven:\nThe night before you want to make your loaves mix 50g wholemeal, 50g white bread flour, and 100g hand temp water with 2tbsp of your starter. Cover with tea towel and leave overnight.\n  Loaves:\n In the morning the leven should have visible bubbles (a tsp of the mixture should float in a cup of water).       If so in a large bowl put 700g hand temp water and disperse the leven so the water is murky and all leven is mixed in.      Add 900g white bread flour and 100g of wholemeal. If you want a more wholemeal type loaf you can change the flour quantities accordingly, but keep total flour weight to 1kg. The more wholemeal you add the longer you should leave between turns and you may have to add a bit more water at this stage of mixture is too stiff.\n  Mix in all flour to water mixture until no dry flour is left. Cover with tea towel and let rest for half an hour.\n     Sprinkle over 20g of salt and add 50g water. Squeeze mixture until all combined. Until it all comes together. It will! (If you want to get more advanced this is the stage I suggest adding any other stuff you might want e.g., olives nuts etc.)        Let dough rest for 3 hours in bowl covered by tea towel turning roughly every half hour (extend periods to 4hrs and 40mins respectively for a more wholemeal type bread). By turning you wet your hand and fold dough 3\u0026ndash;5 times edges over middle. Do not need to overdo this. By the end of this the dough should keep its shape after folding and be sort of shiny in appearance.     After the 3 hours are up turn the dough onto an unfloured worksurface. Lightly flour dough top with wholemeal or white flour and cut in half. With each half flip over so floured surface on bottom and fold each side over (sort of like an envelope). Then turn in a circle and shape. Stop when it starts to feel a bit sticky. Leave covered for half an hour.         Line two bowls with tea towels and dust with wholemeal and rice flour. Flour top of two dough rounds, flip over and fold and shape again as before. Now place each round in the proving bowls. The bottom will be the top of your loaf, so fold side up! Cover and leave for 3 hours.     Half an hour before baking place saucepans or Dutch ovens, lid on, in at 250°C. If you only have one then you\u0026rsquo;ll have to repeat this step twice. When the oven is up to heat turn down to 230°C. Take pan out carefully and flip dough round into it without knocking it about. I use my Dutch oven upside down flipping the dough round into the lid. Slice a cut into top of the dough and bake for appx. 20min with lid on and appx. 20 min lid. When ready your loaves should be browned and hollow.        Sourdough pizza:\nYou can also use the dough as a base for a pizza. Once the bench rest is complete use one dough round and carefully pull/stretch it into a rectangle (or your desired pizza base shape). Top with whatever pizza topping take your fancy and bake at 180°C for appx. 20min, or until cooked.\n  ","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"9c21426dd98b550e15149cdf32222ac6","permalink":"https://cmjt.github.io/popty/bara/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/popty/bara/","section":"popty","summary":"My sourdough recipe based on [Tartine's](https://tartinebakery.com/) Country Bread.","tags":["bara"],"title":"Sourdough bread","type":"popty"},{"authors":null,"categories":null,"content":"Here is the starter recipe I used.\nOr try this one Friends, I learned last night over Zoom drinks that ya\u0026#39;ll\u0026#39;re baking so much that there\u0026#39;s a shortage of yeast?! I, your local frumpy yeast geneticist have come here to tell you this: THERE IS NEVER A SHORTAGE OF YEAST. Here\u0026#39;s where I\u0026#39;m a viking. Instructions below.\n\u0026mdash; Sudeep Agarwala (@shoelaces3) March 29, 2020  Once active you can keep your starter in the fridge: I keep mine in a yogurt pot. You should feed it weekly with 2 heaped tbsp of 50/50 flour (half wholemeal, half white bread) and 2\u0026ndash;3 tbsp water. Mix until combined and leave out of fridge for half an hour before returning.\n  ","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"18b31108e778df422b8414b285a82b4d","permalink":"https://cmjt.github.io/popty/starter/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/popty/starter/","section":"popty","summary":"How to make your sourdough starter","tags":["bara"],"title":"Sourdough starter","type":"popty"},{"authors":null,"categories":null,"content":"Selected courses taught at UoA\nBIOSCI220: Quantitative Biology\nBIOSCI738: Advanced Biological Data Analysis\nRShiny Applications\n vested: virtual experiments to teach experimental design. statbiscuit worksheets (swots) that go hand in hand with courses I teach (source code here). probable: an RShiny application that allows students to explore the shapes of probability distributions(source code). RShiny application introducing linear additive model with the Palmer penguins dataset. Link to the source code and link to more info about the data. Using aRt as an introduction to linear modelling inspired by Danielle Navarro\u0026rsquo;s blog Notes from a data witch: Art, jasmines, and the water colours.  Other teaching related materials\n Gifs Statbiscuit GitHub  ","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"ceec23b0cbfdd17dcaf1d5c4ec36ffa4","permalink":"https://cmjt.github.io/talks/teaching/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/talks/teaching/","section":"talks","summary":"Links to course materials and related applications","tags":null,"title":"Teaching","type":"talks"},{"authors":null,"categories":null,"content":"The River Environment Classification (REC) is a database of catchment spatial attributes, summarised for every segment in New Zealand\u0026rsquo;s network of rivers. Metrics describing hydrology, river bed sediment, fish distributions, invertebrate indices, water quality etc. are available for each river segment. This project will research methods to best visualise attributes of the connected segments of NZ rivers.\nGood R programming skills are required as well as a creative side!\n","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"b73f42d3e84faf59172ac05b9394019f","permalink":"https://cmjt.github.io/project/rivers/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/project/rivers/","section":"project","summary":"visualisation","tags":["honours"],"title":"Visualisation of river networks","type":"project"},{"authors":null,"categories":null,"content":"Events cluster in time and space: tweets go viral, flurries of nearby earthquakes occur in quick succession. Temporal and spatial proximity are major factors in the chain reaction of events. However, how and why these spatiotemporal clusters form is much more complex: the mechanisms that generate clusters of events are often self-exciting.\nThis project will look at what happens when self-excitement is ignored. No familiarity with point processes is needed; however, strong R programming skills are required and familiarity with C++ would be advantageous. Good grades in STATS310 and STATS330 would also be an advantage.\n","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"a7473dec56401555f513e9f9f74f78f5","permalink":"https://cmjt.github.io/project/selfpp/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/project/selfpp/","section":"project","summary":"programming, point processes, simulation","tags":["honours","masters"],"title":"What happens if we ignore self-excitement in point process models?","type":"project"}]