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STATS COURSE - Time series models for ecologists

Oliver Hooker, July 27, 2018
 

Time series models for ecologists (TSME02)

https://www.prstatistics.com/course/time-series-models-for-ecologists-tsme02/

This course will be delivered by Dr. Andrew Parnell from the 1st - 5th October 2018 in Glasgow.

Course Overview: This course will cover time series analysis with a particular focus on applications in ecology and is relevant to many marine mammal datasets that involve sampling time or seasonality for example. All methods will be illustrated using the free, open-source software package R. Time Series data are ubiquitous in the physical sciences, and models for their behaviour enable scientists to understand temporal dynamics and predict future values. Participants will be taught a wide range of suitable time series models for both discrete and continuous time systems. The course will cover a range of techniques from simple exponential smoothing and ARIMA modelling approaches up to complex Bayesian models. Participants will gain a deeper understanding of the models being fitted, and be able interpret the results appropriately. Participants are encouraged to bring their own data sets for discussion with the course tutors.

Monday 1st – Classes from 09:30 to 17:30 Class 1: Introduction, example data sets Class 2: Revision: likelihood and inference Class 3: Revision: linear regression, GLMs, and exponential smoothing

Tutor-guided practical: Linear regression GLMs and exponential smoothing for time series Self-guided practical: Analysing some example data sets Tuesday 2nd – Classes from 09:30 to 17:30 Class 1: Auto-regressive models and random walks Class 2: Moving averages and ARMA Class 3: Integrated models and ARIMA Tutor-guided practical: The forecast package in R Self-guided practical: Fitting ARIMA models with forecast

Wednesday 3rd Classes from 09:30 to 17:30 Class 1: Including covariates: ARIMAX models Class 2: Model choice and forecasting Class 3: Creating bespoke time series models using Bayes Tutor-guided practical: A walkthrough example time series analysis Self-guided practical: Finding the best time series model for your data set

Thursday 4th – Classes from 09:30 to 17:30 Class 1: Modelling with seasonality and the frequency domain Class 2: Stochastic volatility models and heteroskedasticity Class 3: Fitting Bayesian time series models Tutor-guided practical: Fitting time series models in Stan Self-guided practical: Start analysing your own data set

Friday 4th – Classes from 09:30 to 16:00 Class 1: Models for continuous time series: Brownian Motion and Ornstien Uhlenbeck processes Class 2: State-space and change point models Class 3: Multivariate time series models and co-integration Open session: analyse your own data

Email oliverhooker@prstatistics.com

Check out our sister sites, www.PRstatistics.com (Ecology and Life Sciences) www.PRinformatics.com (Bioinformatics and data science) www.PSstatsistics.com (Behaviour and cognition)

  1. July 23rd – 27th 2018 EUKARYOTIC METABARCODING (EUKB01) Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

  2. October 1st – 5th TIME SERIES MODELS FOR ECOLOGISTS (TSME02) Glasgow, Dr Andrew Parnell https://www.prstatistics.com/course/time-series-models-foe-ecologists-tsme02/

  3. October 1st – 5th 2018 INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL03) Glasgow, Scotland, Dr. Martin Jones https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul03/

  4. October 8th – 12th 2018 INTRODUCTION TO FREQUENTIST AND BAYESIAN MIXED (HIERARCHICAL) MODELS (IFBM01) Glasgow, Scotland, Dr Andrew Parnell https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-mixed-models-ifbm01/

  5. October 15th – 19th 2018 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04) Glasgow, Scotland, Dr. Matt Denwood, Emma Howard http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme04/

  6. October 23rd – 25th 2018 INTRODUCTIUON TO R (This is a private ‘in-house’ course) London, England, Dr William Hoppitt

  7. October 29th – November 2nd 2018 INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02) Glasgow, Scotland, Dr. Olivier Gauthier https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-biologists-irfb02/

  8. October 29th – November 2nd 2018 INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01) Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

  9. November 5th – 8th 2018 PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC EVOLUTION (PCME01) Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-studying-diversification-and-phenotypic-evolution-pcme01/

  10. November 19th – 23rd 2018 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/

  11. November 26th – 30th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01) Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/

  12. December 3rd – 7th 2018 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS01) Glasgow, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

  13. January 21st – 25th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

  14. January 21st – 25th 2019 ADVANCING IN STATISTICAL MODELLING USING R (ADVR08) Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

  15. January 28th– February 1st 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

  16. 4th – 8th February 2019 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

  17. February 11th – 15th 2019 REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/

  18. 25th February – 1st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/

  19. March 4th – 8th 2019 BIOACUSTIC DATA ANALYSIS Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

  20. March 18th – 22nd 2019 ECOLOGICAL NICHE MODELLING USING R (ENMR03) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/

  21. March 25th – 29th 2019 LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/

  22. A pril 1st – 5th 2019 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01) Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/

  23. April 8th – 12th MACHINE LEARNING Glasgow Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/machine-learning-using-r-mlur01/

-- Oliver Hooker PhD. PR statistics

2018 publications -

Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032

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