Online course: Introduction to linear mixed-effects models, multivariate GLMM and GLLVM. 7 -11 October 2024. Teaching times: 14.00-19.00 BST (09.00-14.00 EST). See: highstat.com

Hybrid course (onsite and online): Zero-inflated GAMs for the analysis of spatial and spatial-temporal correlated data using R-INLA. Wageningen, The Netherlands. 23 - 27 September 2024. Flyer: highstat.com/Courses/Flyers…

He Octopus Energy …why does it take more than 6 months to get a smart meter?

MIT Entrance Examination for 1869-1870

Help us plan! We are organising an online statistics course from 6–10 January 2025. You can vote for the topic and preferred teaching times. See the poll at: highstat.com

Free online seminar: What is a linear mixed-effects model? Date and time: 11 November 2024; 14.00-16.00 UK time. We will explain the concept of a linear mixed-effects model, and also show a simple example For more information: highstat.com and follow the link to

Online course on GLLVM (multivariate GLMM) for both the GMT/CET and EST time zones.

I’m currently working on a book about regression models with spatial, temporal, and spatial-temporal correlation using R-INLA for Chapman and Hall. Challenge 1: I need a charismatic dataset for a Gaussian linear regression model with spatial correlation. Here’s what I’m looking

Free online seminar: Fitting a regression model with spatial correlation using R-INLA. Date and time: Monday 16 December 2024; 14.00-16.00 UK time. In this seminar, we will demonstrate the integration of a spatial correlation structure into a linear regression model using R-INLA.

We have 3 remaining seats on the following workshop: Online workshop: GLM with spatial, temporal, and spatial-temporal correlation using R-INLA. Dates: 6-9 January, 16-17 January and 17 April. Teaching times: 09.00-16.00 (UK time) Flyer: highstat.com/Courses/Flyers… Registration:

Need some stats & methods for your ecological/biological dataset. Alain Zuur & Co. is coming to #DK - Introduction to #GAMM and #GLMM with R. DTU, Lyngby, Denmark. 10-14 Feburary 2025. You can join the course in person or online here: highstat.com/index.php/join…

Hybrid (onsite and online): Introduction to GAMM and GLMM with R - With GAM applications to spatial, and spatial-temporal data. 10-14 February 2025, DTU, Lyngby, Denmark. Course flyer: highstat.com/Courses/Flyers…

📖Published📖 Our new review highlights useful links (and differences) between Bayesian and frequentist approaches to smoothing, in an accessible way, with a focus on the mgcv implementation. Read more here 👇 buff.ly/3WD77l9

Hybrid (onsite and online) statistics course: Introduction to GLLVM. With spatial or temporal dependency. 17-21 March 2025. School of Agriculture University of Lisbon,  Portugal. See: highstat.com

Free online seminar: Fitting a regression model with spatial correlation using R-INLA In this seminar, we will demonstrate the integration of a spatial correlation structure into a linear regression model using R-INLA. Please note that our focus will be strictly on the

Live online statistics course: Introduction to GLM with spatial, and spatial-temporal correlation using R-INLA. 5-9 May 2025. Teaching times: 14.00-20.00 BST; 09.00-15.00 EDT. Flyer: highstat.com

We will be running a free online seminar on Generalised Linear Latent Variable Models (GLLVMs). Date and time: Monday, 26 May 2025; 14:00–16:00 UK time. In this seminar, we will explain Generalised Linear Latent Variable Models (GLLVMs). A GLLVM is a type of GLM or GLMM that