[R-sig-eco] 'STATS COURSE - TIME SERIES MODELS USING R'

[Oliver Hooker]

"Time Series Models for Ecologists and Climatologists"

Delivered by Dr. Andrew Parnell and Dr. Doug McNeall

http://prstatistics.com/course/time-series-models-for-ecologists-and-climatologist/

This course will run from 10th – 13th May 2016 at SCENE Field Station, 
Loch Lomond national park, Scotland

This course will cover model-based time series analysis with a 
particular focus on applications in ecology and climatology. 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 takes a 
foundational Bayesian approach, which will enable participants to have a 
deeper understanding of the models being fitted, and to estimate all 
unknown quantities with uncertainty. Participants are encouraged to 
bring their own data sets for discussion with the course tutors.

Course content is as follows

Day 1 Basic concepts
o	Class 1: Introduction; some example time series datasets; prediction 
vs explanation
o	Class 2: An introduction to Bayesian Statistics.
o	Class 3: The AR(1) model
o	Practical: revision on using R to load data, create plots and fit 
statistical models
o	Round table discussion: understanding the output from a Bayesian model

Day 2 Arima modelling
o	Class 1: ARMA models for real data
o	Class 2: ARIMA and sARIMA modelling
o	Practical: An introduction to the Bayesian modelling language JAGS
o	Round table discussion: understanding and running a
o	JAGS model

Day 3 Continuous Time Series Modelling
o	Class 1: Brownian Motion and its application to real data sets
o	Class 2: An introduction to Stochastic Volatility Modelling
o	Practical: Fitting continuous time models in JAGS
o	Round table discussion: Issues of continuous vs discrete time

Day 4 Advanced Times Series Models
o	Class 1: Multivariate models
o	Class 2: Fractional differencing and models using differential 
equations
o	Practical: Running advanced models in JAGS
o	Round table discussion: Bring your own data set

Please email any inquiries to oliverhooker at prstatistics.com or visit our 
website www.prstatistics.com

Please feel free to distribute this material anywhere you feel is 
suitable

Upcoming courses - email for details oliverhooker at prstatistics.com
ADVACNING IN STATISTICAL MODELLING USING R (May)
INTRODUCTION TO PYTHON FOR BIOLOGISTS (May)
ADVANCES IN DNA TAXONOMY USING R (August)
GENETIC DATA ANALYSIS USING R (August)
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August)
MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October)
LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October)
PHYLOGENETIC DATA ANALYSIS USING R (November)
SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November)

Dates still to be confirmed - email for details 
oliverhooker at prstatistics.com
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R
INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS
BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS

Oliver Hooker
PR Statistics

3/1
128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340

www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/

-- 
Oliver Hooker
PR statistics

3/1
128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340

www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/