Melanie Colón Posted December 9, 2015 Share Posted December 9, 2015 TIME SERIS MODELS FOR ECOLOGISTS AND CLIMATOLOGISTSThis course is being delivered by Dr Andrew Parnell and Dr Mike Salter-TownshendIt will run from 9th - 12th of May 2016 at SCENE (the Scottish Centre for EcEcology and the Natural Environment), Loch Lomond National Park, Glasgow.Course overview: This course will cover model-based time series analysiswith a particular focus on applications in ecology and climatology. Allmethods will be illustrated using the free, open-source software package R.Time Series data are ubiquitous in the physical sciences, and models fortheir behaviour enable scientists to understand temporal dynamics andpredict future values. Participants will be taught a wide range of suitabletime series models for both discrete and continuous time systems. Thecourse takes a foundational Bayesian approach, which will enableparticipants to have a deeper understanding of the models being fitted, andto estimate all unknown quantities with uncertainty. Participants areencouraged to bring their own data sets for discussion with the coursetutors.Curriculum:Day 1: Basic conceptsClass 1: Introduction; some example time series datasets; prediction vs explanatexplanationClass 2: An introduction to Bayesian Statistics.Class 3: The AR(1) modelPractical: revision on using R to load data, create plots and fit statistatistical modelsRound table discussion: understanding the output from a Bayesian modelDay 2: ARIMA modellingClass 1: ARMA models for real dataClass 2: ARIMA and sARIMA modellingPractical: An introduction to the Bayesian modelling language JAGSRound table discussion: understanding and running a JAGS modelDay 3: Continuous time seriesClass 1: Brownian Motion and its application to real data setsClass 2: An introduction to Stochastic Volatility ModellingPractical: Fitting continuous time models in JAGSRound table discussion: Issues of continuous vs discrete timeDay 4: Advanced time series modelsClass 1: Multivariate modelsClass 2: Fractional differencing and models using differential equationsPractical: Running advanced models in JAGSRound table discussion: Bring your own data setThe cost is £450 including lunches and course materials. An all-inclusive optioption is also available at £625; this includes breakfast, lunch, dinner, refrrefreshments, accommodation and course materials. Participants will need a laptlaptop with a recent version of RThis workshop is aimed at research postgraduates, practicing academics in ececology, climatology, evolution, meteorology, conservation and enenvironmental management, and environmental professionals in government and inindustry.The workshop is delivered over 8 half-day sessions (see the detailedcurriculum below). The session will consist of Introductory lectures on theconcepts and refreshers on R usage. Intermediate-level lecturesinterspersed with hands-on mini practicals and longer projects. Finally, rounround-table discussions about the analysis requirements of attendees (opt(optional - bring your own dataAssumed background: A basic understanding of statistical concepts. Such as reregression modelling and generalised linear models. Some understanding of BaBayesian Statistics is recommended but will be covered during the inintroductory sessions. Familiarity with R. Ability to import/export data, mamanipulate data frames, fit basic statistical models & generate simple exexploratory and diagnostic plots.Please send inquiries to oliverhooker@prstatistics.co.uk or visit the website wwebsite www.prstatistics.co.ukPlease fee free to distribute this information anywhere you think suitable..http://prstatistics.co.uk/time%20series%20models%20for%20ecologists%20and%20climaclimatologists/index.htmlOther upcoming courses - GENETIC DATA ANALYSIS USING SIAR; ; APPLIED BAYBAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS; SPATIAL ANALYSIS OF ECOECOLOGICAL DATA USING R; ADVANCING IN STATISTICAL MODELLING USING R; PYTHON FORFOR BIOLOGISTS; INTRODUCTION TO STATISTICS AND R FOR BIOLOGISTS; ADVANCES ININ DNA TAXONOMY; BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS; MULMULTIVARIATE ANALYSIS OF SPATIAL DATA; MODEL BASE MULTIVARIATE ANALYSIS OF ABUABUNDANCE DATA;Oliver HookerPR~Statistics Link to comment Share on other sites More sharing options...
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