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ALLSTAT  July 2019

ALLSTAT July 2019

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Subject:

5 PART-FUNDED SCHOLARSHIPS for Generalised Linear, Nonlinear and General Additive Models

From:

Oliver Hooker <[log in to unmask]>

Reply-To:

Oliver Hooker <[log in to unmask]>

Date:

Fri, 5 Jul 2019 14:00:40 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (163 lines)

5 PART-FUNDED SCHOLARSHIPS for the course "Generalised Linear (MIXED) (GLMM), Nonlinear (NLGLM) And General Additive Models (MIXED) (GAMM) (GNAM01)"

Please share!

https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/

PS statistics are pleased to offer through their funding scheme 5 all
inclusive places on the up-coming course "Generalised Linear, Nonlinear and General Additive Models".

All inclusive course fees have been subsidized by 40% to £480 (from £795.00).

This fee covers the 5 day course and accommodation, breakfast,
lunches, and refreshments (full details at the bottom of this email).

This course will be delivered by Dr Mark Andrews from September 9th - 13th in Glasgow City Centre.

Applications should be sent to [log in to unmask] and
contain the following.

1. Full name
2. Institute name
3. PhD subject title or Post doc research questions
4. Do you hold a funded position
5. 150 words why this course would be relevant to your research or how
it would help.

Application deadline is Friday 5th July and decisions will be made by Sunday 7th July.

Course overview:
This course provides a general introduction to nonlinear regression analysis, covering major topics including, but not limited to, general and generalized linear models, generalized additive models, spline and radial basis function regression, and Gaussian process regression. We approach the general topic of nonlinear regression by showing how the powerful and flexible statistical modelling framework of general and generalized linear models, and their multilevel counterparts, can be extended to handle nonlinear relationships between predictor and outcome variables. We begin by providing a comprehensive practical and theoretical overview of regression, including multilevel regression, using general and generalized linear models. Here, we pay particular attention to the many variants of general and generalized linear models, and how these provide a very widely applicable set of tools for statistical modeling. After this introduction, we then proceed to cover practically and conceptually simple extensions to the general and generalized linear models framework using parametric nonlinear models and
polynomial regression. We will then cover more powerful and flexible extensions of this modeling. framework by way of the general concept of basis functions. We’ll begin our coverage of basis function regression with the major topic of spline regression, and then proceed to cover radial basis functions and the multilayer perceptron, both of which are types of artificial neural networks. We then move on to the major topic of generalized additive models (GAMs) and generalized additive mixed models (GAMMs), which can be viewed as the generalization of all the basis function regression topics, but cover a wider range of topic including nonlinear spatial and temporal models and interaction models. Finally, we will cover the powerful Bayesian nonlinear regression method of Gaussian process regression.

ALL INCLUSIVE PACKAGE – Includes breakfast, lunch, refreshments and welcome dinner Monday evening. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PS statistics head office. Accommodation is multiple
occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 12th September (between 17:00 – 21:00 and departure Friday 13th September (accommodation must be vacated by 09:15).

1. June 24th – 28th 2019
MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01)
Glasgow, Scotland, Dr. Yoshiki Vazquez Baeza, Dr. Antonio Gonzalez Pena
https://www.prinformatics.com/course/microbiome-data-analysis-using-qiime2-mbqm01/

2. July 1st – 5th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

3. July 8th – 12th 2019
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM03)
Glasgow, Scotland, Dr. Andrew Parnell
https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm03/

4. July 29th – August 2nd 2019
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE01)
Glasgow, Scotland, Dr. Jakub Nowosad
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/

5. September 2nd – 6th 2019
APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA
USING SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01)
Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers
https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/

6. September 9th – 13th 2019
GENERALISED LINEAR (MIXED) (GLMM), NONLINEAR (NLGLM) AND GENERAL
ADDITIVE MODELS (MIXED) (GAMM) (GNAM01)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/

7. September 16th – 20th 2019
R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR
BIOLOGISTS (RPKG01)
Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger
https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/

8. September 16th – 20th 2019
STRUCTURAL EQUATION MODELLING AND PATH ANALYSIS (SMPA01)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/

9. September 23rd – 27th 2019
DATA SCIENCE/ANALYTICS USING PYTHON (DSAP01)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/data-science-analytics-using-python-dsap01/

10. September 30th – October 4th 2019
GEOMETRIC MORPHOMETRICS USING R (GMMR02)
Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr.
Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/

11. October 7th – 11th 2019
CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01)
Athens, GREECE, Dr Richard Schuster and Nina Morell
https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/

12. October 14th – 18th 2019
INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01)
Glasgow, Scotland, Dr Will Hoppitt
https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/

13. October 21st – 25th 2019
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE (VGNR01)
Glasgow, Scotland, Dr. Guillaume Blanchet
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/

14. November 4th – 8th 2019
Glasgow, Scotland, Dr. Mark Andrews
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL
SCIENCES USING R AND STAN (BDRS02)
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/

15. November 4th – 8th 2019
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML02)
Glasgow, Scotland, Dr Will Hoppitt
https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/

16. November 11th – 15th 2019
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05)
Glasgow, Scotland, Dr Matt Denwood, Emma Howard
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/

17. November 18th – 22nd 2019
INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC
DISTRIBUTION MODELS (IIPM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/

18. November 25th – 29th 2019
Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)
Wimmipeg, CANADA, Dr Guillaume Blanchet
https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/

19. November 25th – 29th 2019
ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/

20. May 11th – 15th 2020
FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND
DIVERSITY PATTERNS (FLDM01)
Glasgow, Scotland, Dr. Marcia Barbosa
https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/

21. May 18th – 22nd 2020
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (james) Grace
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/

22. October 5th – 9th 2020
ECOLOGICAL NICHE MODELLING USING R (ENMR04)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/

23. October 11th – 16th 2020
ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/

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