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ESTUARINE-SCIENCE  July 2018

ESTUARINE-SCIENCE July 2018

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Subject:

STATS COURSE on Time series models for ecologists

From:

Oliver Hooker <[log in to unmask]>

Reply-To:

Oliver Hooker <[log in to unmask]>

Date:

Thu, 26 Jul 2018 00:59:11 +0100

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text/plain

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Time series models for ecologists (TSME02)

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

This course will run form the 1st - 5th October 2018 in Glasgow City Centre and will be delivered by Dr Andrew Parnell.

Course Overview:
This course will cover time series analysis with a particular focus on applications in ecology. 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 5th – 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 [log in to unmask] with any questions.

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) 

Up-coming courses

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 Busiere   
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/

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