[R-sig-ME] Model selection and model simplification (MSMS02)

[Oliver Hooker]

Model selection and model simplification (MSMS02)

https://www.prstatistics.com/course/model-selection-and-model-simplification-msms02/
24 November 2021 - 25 November 2021
Course Overview:

This two day course covers the important and general topics of statistical
model building, model evaluation, model selection, model comparison, model
simplification, and model averaging. These topics are vitally important to
almost every type of statistical analysis, yet these topics are often
poorly or incompletely understood. We begin by considering the fundamental
issue of how to measure model fit and a model’s predictive performance, and
discuss a wide range of other major model fit measurement concepts like
likelihood, log likelihood, deviance, residual sums of squares etc. We then
turn to nested model comparison, particularly in general and generalized
linear models, and their mixed effects counterparts. We then consider the
key concept of out-of-sample predictive performance, and discuss
over-fitting or how excellent fits to the observed data can lead to very
poor generalization performance. As part of this discussion of
out-of-sample generalization, we introduce leave-one-out cross-validation
and Akaike Information Criterion (AIC). We then cover general concepts and
methods related to variable selection, including stepwise regression, ridge
regression, Lasso, and elastic nets. Following this, we turn to model
averaging, which is an arguably always preferable alternative to model
selection. Finally, we cover Bayesian methods of model comparison. Here, we
describe how Bayesian methods allow us to easily compare completely
distinct statistical models using a common metric. We also describe how
Bayesian methods allow us to fit all the candidate models of potential
interest, including cases were traditional methods fail.

THIS IS ONE COURSE IN OUR R SERIES – LOOK OUT FOR COURSES WITH THE SAME
COURSE IMAGE TO FIND MORE IN THIS SERIES
Email oliverhooker using prstatistics.com with any questions
Up-coming courses

*GIS AND REMOTE SENSING ANALYSES WITH R (GARM01)*

Online (live and recorded) 14th February 2022 - 18th February 2022

£400 reduced from £450

https://www.prstatistics.com/course/gis-and-remote-sensing-analyses-with-r-garm01/

*ADAPTING TO THE RECENT CHANGES IN R SPATIAL PACKAGES (SF, TERRA, PROJ
LIBRARY) (PROJ02)*

Online (live and recorded) 13th January 2022 - 14th January 2022

£275 reduced from £300

https://www.prstatistics.com/course/adapting-to-the-recent-changes-in-r-spatial-packages-sf-terra-proj-library-proj02/


*BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS
(BIAC02)*

Online (live and recorded) 22nd March 2022 - 24th March 2022

£280 reduced from £350

https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac02/



*MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES IN R WITH THE VEGAN
PACKAGE (VGNR04)*

12th September 2022 - 16th September 2022

£400 reduced from £480

https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr04/



*TIME SERIES DATA ANALYSIS (TSDA01)*

Online (live and recorded) 14 December 2021 - 17 December 2021

£400 reduced from £450

https://www.prstatistics.com/course/time-series-data-analysis-tsda01/



*STABLE ISOTOPE MIXING MODELS USING SIBER, SIAR, MIXSIAR (SIMM08)*

Online (live and recorded) 1st February 2022 - 4th February 2022

£430 reduced from £480

https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/



*BAYESIAN DATA ANALYSIS (BADA01)*

Online (live and recorded) 10th January 2022 - 14th January 2022

£375 reduced from £450

https://www.prstatistics.com/course/bayesian-data-analysis-bada01/



*INTRODUCTION TO STAN FOR BAYESIAN DATA ANALYSIS (ISBD01)*

Online (live and recorded) 18th January 2022 - 20th January 2022

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-stan-for-bayesian-data-analysis-isbd01/



*MAKING BEAUTIFUL AND EFFECTIVE MAPS IN R (MAPR03)*

Online (live and recorded) 9th February 2022 - 10th February 2022

£275 reduced from £300.00

https://www.prstatistics.com/course/making-beautiful-and-effective-maps-in-r-mapr03/

*ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA: THEORY AND
PRACTICE (MVSP04)*

Online (pre-recorded with live support) 25th April 2022 - 29th April 2022

£375 reduced from £400

https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp04/



*FREE RECORDED 1 DAY INTRO TO R AND R STUDIO (FIRR01) *

Online (recorded) 29 October 2021

Free

https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/



*INTRODUCTION TO GENERALISED LINEAR MODELS USING R AND RSTUDIO (IGLM04)*

Online (live and recorded) 3 November 2021 - 4 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm04/

*INTRODUCTION TO MIXED MODELS USING R AND RSTUDIO (IMMR05)*

Online (live and recorded) 10 November 2021 - 11 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr05/

*INTRODUCTION TO MACHINE LEARNING AND DEEP LEARNING USING R (IMDL02) *

Online (live and recorded) 17 November 2021 - 18 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl02/

*MODEL SELECTION AND MODEL SIMPLIFICATION (MSMS02)*

Online (live and recorded) 24 November 2021 - 25 November 2021

£200 reduced from £275.00

https://www.prstatistics.com/course/model-selection-and-model-simplification-msms02/



*SPECIES DISTRIBUTION MODELLING WITH BAYESIAN STATISTICS IN R (SDMB03)*

Online (live and recorded) 6 December 2021 - 10 December 2021

https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/



*SPECIES DISTRIBUTION MODELING USING R (SDMR04)*

Online (live and recorded) 2nd February 2022 - 10th February 2022

https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/



*INTRODUCTION TO ECO-PHYLOGENETICS AND COMPARATIVE ANALYSES USING R
(ECPH01)*

Online (live and recorded) 7th February 2022 - 11th February 2022

https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph01/



*FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION
(FEER02)*

Online (live and recorded) 5th September 2022 - 9th September 2022
https://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/
-- 

-- 
Oliver Hooker PhD.
PR statistics

	[[alternative HTML version deleted]]