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PR Stats

@prstats.bsky.social

157 followers 42 following 88 posts

Specialist training in applied statistical methods for researchers in ecology, biology, and environmental sciences. Courses are taught by leading academics and designed to support postgraduate students, early-career researchers, and established scientists

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PR Stats @prstats.bsky.social · 11/06/2026

Spatial Phylogenetics and Bayesian Phylogenetic Mixed Models Working with spatial biodiversity data where species are not independent? Our live online course runs 22–24 Sept, delivered by Dr Ignacio Castilla prstats.org/course/spati... #Phylogenetics #BayesianStatistics #Macroecology #Biodiversity

Spatial and Bayesian Phylogenetic Mixed Models - PR Stats

Learn spatial phylogenetics & Bayesian phylogenetic mixed models in R. Practical training in phylogenetic modelling & comparative workflows.

PR Stats @prstats.bsky.social · 11/06/2026

Working with bulk RNA-seq data? Our live online course runs 7–10 Sept, delivered by Dr Frances Turner, bioinformatician at Edinburgh University. Covers QC, alignment, quantification, DESeq2, visualisation and FGSEA. prstats.org/course/rna-s... #RNASeq #Bioinformatics #Transcriptomics #DESeq2

RNA-seq Analysis - PR Stats

Learn RNA-seq analysis in R for transcriptomic data. Practical online training in differential expression and RNA-seq workflows.

PR Stats @prstats.bsky.social · 11/06/2026

Bayesian Modelling Using R-INLA Working with hierarchical, spatial or spatiotemporal data? Our live online course runs 21–25 Sept, delivered by Dr Virgilio Gómez-Rubio, author of Bayesian Inference with INLA. prstats.org/course/bayes... #RStats #BayesianStatistics #RINLA #SpatialStatistics

Bayesian regression mixed-effects models using brms - PR Stats

Learn Bayesian regression and mixed-effects models using brms. Practical online training in hierarchical modelling and Bayesian workflows.

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Hadley Wickham @hadley.nz · 30/03/2026

New (mostly vibe coded) package to generate slide images using Gemini in a (mostly) reproducible way: hadley.github.io/bananarama/ I made this to scratch a personal itch; please let me know if you also find it useful #rstats

hadley.github.io

Generate Presentation Images Using Google Gemini

Reproducibly generate slide images using Google Gemini. Define your images in a YAML configuration file with support for reference images and style defaults, eliminating the need to copy and paste pro...

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PR Stats @prstats.bsky.social · 03/03/2026

Move beyond default models. Live online course on Bayesian statistical modelling with Stan & brms, taught by Mark Andrews, Senior Lecturer & experienced instructor in applied Bayesian methods 5–7 May Details: prstats.org/course/bayes... #PhDStudents #BayesianStatistics #Stan #RStats #DataScience

Bayesian Statistical Modelling with Stan and brms (BMSB01)

Bayesian Statistical Modelling with Stan and brms is an advanced R training course for researchers who want to apply Bayesian statistical methods to real research data. The course focuses on building,...

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PR Stats @prstats.bsky.social · 03/03/2026

Live online course on movement ecology & the analysis of tracking & telemetry data, taught by leading ecologists working at the interface of behaviour, habitat selection, & biodiversity dynamics 11–15 May prstats.org/course/movem... #MovementEcology #QuantitativeEcology #SpatialEcology #RStats

Movement Ecology (the Analysis of Movement Data)

A five day online course on movement ecology and the analysis of movement data using R. Learn movement path analysis, home range estimation, interaction metrics, resource and habitat selection, scale ...

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PR Stats @prstats.bsky.social · 03/03/2026

Live online course on time series modelling and forecasting, taught by Mark Andrews, Senior Lecturer and experienced instructor in Bayesian data analysis and statistical computing. 11–15 May 2026 Details: prstats.org/course/machi... #PhDStudents #TimeSeries #MachineLearning #DataScience #RStats

Machine Learning for Time Series (MLTP01)

Machine Learning for Time Series is a practical Python training course for researchers and analysts working with temporal data across scientific and applied domains. The course focuses on applying mac...

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PR Stats @prstats.bsky.social · 27/02/2026

Turn your R analyses into interactive research tools Live course on building interactive data applications with Shiny, taught by Mark Andrews, Senior Lecturer in Bayesian modelling and statistical computing 28–29 Apr prstats.org/course/inter... #RStats #Shiny #DataVisualization #DataScience

Interactive Data Applications with Shiny (SHID01)

Interactive Data Applications with Shiny is a hands-on R training course for researchers and data analysts who want to build interactive web applications using the Shiny framework. The course focuses ...

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PR Stats @prstats.bsky.social · 27/02/2026

Live online course on stable isotope mixing models using SIBER, SIAR, & MixSIAR, taught by Andrew Parnell, Hamilton Professor of Statistics with extensive expertise in Bayesian hierarchical modelling. 27–30 Apr prstats.org/course/stabl... #StableIsotopes #BayesianStatistics #Ecology #RStats

Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12)

Stable Isotope Mixing Models Using SIBER, SIAR, and MixSIAR is a practical R training course for ecologists and environmental researchers using stable isotope data. The course focuses on applying Baye...

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PR Stats @prstats.bsky.social · 27/02/2026

Live online course on standard workflows for species distribution & ecological niche modelling, taught by Neftalí Sillero, a spatial ecologist with over 70 peer reviewed publications 23–24 Apr prstats.org/course/stand... #PhDStudents #SpeciesDistributionModelling #SpatialEcology #GIS #Biodiversity

Standard modelling procedure for Species Distribution and Ecological Niche Modelling (SDMS01)

Standard Modelling Procedure for Species Distribution and Ecological Niche Modelling is a practical R training course for ecologists and environmental researchers working with species occurrence and e...

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PR Stats @prstats.bsky.social · 27/02/2026

Strengthen your ecological inference Live course on analysing ecological data with imperfect detection, taught by Dr Péter Solymos, developer of widely used R tools for ecological modelling 20–23 April prstats.org/course/analy... #PhDStudents #Ecology #RStats #EcologicalStatistics #Biodiversity

Analysing Ecological Data with Detection Error

A four day online course on analysing ecological field data with detection error using R. Learn data manipulation, occupancy models, N-mixture models, distance sampling, time-removal methods, detectab...

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PR Stats @prstats.bsky.social · 10/02/2026

Live online course on advanced Python for biological research, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at the University of Edinburgh. 23–26 March Details: prstats.org/course/advan... #PhDStudents #Python #Bioinformatics #ComputationalBiology

Advanced Python for Ecologists and Evolutionary Biologists - PR Stats

Advanced Python for Biologists (APYB01) builds on core Python skills to teach advanced features, including OOP, functional programming, testing, and performance profiling. Designed for biologists solv...

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PR Stats @prstats.bsky.social · 09/02/2026

Live online course on deep learning using R, taught by Mark Andrews, Senior Lecturer in Psychology with extensive experience in Bayesian modelling, statistical computing, and machine learning. 21–22 April prstats.org/course/deep-... #PhDStudents #DeepLearning #RStats #MachineLearning #DataScience

Deep Learning using R (DLUR01) | PR Statistics

A two day online course introducing deep learning in R using the torch package. Learn neural network foundations, training workflows, MLPs, CNNs and transformer models, implement a minimal GPT, and ap...

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PR Stats @prstats.bsky.social · 09/02/2026

Live online course! On community ecology analysis using vegan in R, taught by Antoine Becker-Scarpitta, a community and forest ecologist with extensive experience in applied ecological modelling 20–24 April prstats.org/course/multi... #PhDStudents #Ecology #RStats #CommunityEcology #Biodiversity

Multivariate Analysis of Ecological Communities Using VEGAN (VGNR09) - PR Stats

Analyse ecological community data in R using VEGAN. Learn ordination, clustering, and multivariate statistics with real datasets.

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PR Stats @prstats.bsky.social · 10/02/2026

Live online course on end-to-end single cell RNA-seq analysis, taught by Frances Turner, a bioinformatician at the University of Edinburgh with vast experience supporting real research projects 16–19 March prstats.org/course/singl... #PhDStudents #SingleCell #Bioinformatics #Genomics #DataScience

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PR Stats @prstats.bsky.social · 08/02/2026

Deep learning with real research data Live online course on deep learning using Python, taught by Mark Andrews, an experienced instructor in applied modelling and computational methods 14–15 April Details prstats.org/course/deep-... #PhDStudents #DeepLearning #Python #MachineLearning #DataScience

Deep Learning Using Python (DLUP01) - PR Stats

Learn deep learning with Python and PyTorch in this two day online course. Build neural networks, CNNs and transformer models, implement training workflows, and work with real datasets. Ideal for rese...

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PR Stats @prstats.bsky.social · 07/02/2026

Practical Python for data science and statistical computing in PhD research. Taught by Mark Andrews, Senior Lecturer in Psychology and long standing instructor in applied Bayesian data analysis. 7–8 April Details: prstats.org/course/pytho... #PhDStudents #Python #DataScience #BayesianStatistics

Python for Data Science and Statistical Computing (PYDS01) - PR Stats

A two day online course teaching Python for data science and statistical computing. Learn programming essentials, NumPy, Pandas, data visualisation, and basic statistical analysis using real datasets....

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easystats @easystats.github.io · 02/03/2026

Your model is only as good as its assumptions. 📊 But what happens when your data breaks the rules? Let’s dive into how to check your model assumptions—and exactly how to fix those pesky violations: 🧵👇 easystats.github.io/performance/... #rstats #easystats #performance

easystats.github.io

Checking model assumption - linear models

PR Stats @prstats.bsky.social · 03/03/2026

Live online course on time series modelling and forecasting, taught by Mark Andrews, Senior Lecturer and experienced instructor in Bayesian data analysis and statistical computing. 11–15 May 2026 Details: prstats.org/course/machi... #PhDStudents #TimeSeries #MachineLearning #DataScience #RStats

Machine Learning for Time Series (MLTP01)

Machine Learning for Time Series is a practical Python training course for researchers and analysts working with temporal data across scientific and applied domains. The course focuses on applying mac...

PR Stats @prstats.bsky.social · 03/03/2026

Live online course on movement ecology & the analysis of tracking & telemetry data, taught by leading ecologists working at the interface of behaviour, habitat selection, & biodiversity dynamics 11–15 May prstats.org/course/movem... #MovementEcology #QuantitativeEcology #SpatialEcology #RStats

Movement Ecology (the Analysis of Movement Data)

A five day online course on movement ecology and the analysis of movement data using R. Learn movement path analysis, home range estimation, interaction metrics, resource and habitat selection, scale ...

PR Stats @prstats.bsky.social · 03/03/2026

Move beyond default models. Live online course on Bayesian statistical modelling with Stan & brms, taught by Mark Andrews, Senior Lecturer & experienced instructor in applied Bayesian methods 5–7 May Details: prstats.org/course/bayes... #PhDStudents #BayesianStatistics #Stan #RStats #DataScience

Bayesian Statistical Modelling with Stan and brms (BMSB01)

Bayesian Statistical Modelling with Stan and brms is an advanced R training course for researchers who want to apply Bayesian statistical methods to real research data. The course focuses on building,...

PR Stats @prstats.bsky.social · 03/03/2026

Live online course on scalable Bayesian modelling using INLA, taught by Virgilio Gómez-Rubio, author of Bayesian Inference with INLA and leading contributor to Bayesian and spatial modelling in R 4–8 May prstats.org/course/bayes... #PhDStudents #BayesianStatistics #INLA #RStats #SpatialStatistics

Bayesian Modelling Using R-INLA Course (BMIN04)

5-day live online Bayesian modelling course using R-INLA. Learn priors, hierarchical models, spatial analysis, and Bayesian inference.

PR Stats @prstats.bsky.social · 27/02/2026

Turn your R analyses into interactive research tools Live course on building interactive data applications with Shiny, taught by Mark Andrews, Senior Lecturer in Bayesian modelling and statistical computing 28–29 Apr prstats.org/course/inter... #RStats #Shiny #DataVisualization #DataScience

Interactive Data Applications with Shiny (SHID01)

Interactive Data Applications with Shiny is a hands-on R training course for researchers and data analysts who want to build interactive web applications using the Shiny framework. The course focuses ...

PR Stats @prstats.bsky.social · 27/02/2026

Live online course on stable isotope mixing models using SIBER, SIAR, & MixSIAR, taught by Andrew Parnell, Hamilton Professor of Statistics with extensive expertise in Bayesian hierarchical modelling. 27–30 Apr prstats.org/course/stabl... #StableIsotopes #BayesianStatistics #Ecology #RStats

Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12)

Stable Isotope Mixing Models Using SIBER, SIAR, and MixSIAR is a practical R training course for ecologists and environmental researchers using stable isotope data. The course focuses on applying Baye...

PR Stats @prstats.bsky.social · 27/02/2026

Live online course on standard workflows for species distribution & ecological niche modelling, taught by Neftalí Sillero, a spatial ecologist with over 70 peer reviewed publications 23–24 Apr prstats.org/course/stand... #PhDStudents #SpeciesDistributionModelling #SpatialEcology #GIS #Biodiversity

Standard modelling procedure for Species Distribution and Ecological Niche Modelling (SDMS01)

Standard Modelling Procedure for Species Distribution and Ecological Niche Modelling is a practical R training course for ecologists and environmental researchers working with species occurrence and e...

PR Stats @prstats.bsky.social · 27/02/2026

Strengthen your ecological inference Live course on analysing ecological data with imperfect detection, taught by Dr Péter Solymos, developer of widely used R tools for ecological modelling 20–23 April prstats.org/course/analy... #PhDStudents #Ecology #RStats #EcologicalStatistics #Biodiversity

Analysing Ecological Data with Detection Error

A four day online course on analysing ecological field data with detection error using R. Learn data manipulation, occupancy models, N-mixture models, distance sampling, time-removal methods, detectab...

Reposted by PR Stats

PR Stats @prstats.bsky.social · 07/02/2026

Live online course on Python for biological data exploration and visualisation, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at the University of Edinburgh 2–5 March 2026 prstats.org/course/pytho... #PhDStudents #Python #Bioinformatics #DataScience

Python for Biological Data Exploration and Visualization | PR Statistics

Master data exploration and visualisation techniques using Python. This practical course is designed for researchers and scientists with basic Python experience. Learn to clean, analyse, and present b...

PR Stats @prstats.bsky.social · 10/02/2026

Live online course on end-to-end single cell RNA-seq analysis, taught by Frances Turner, a bioinformatician at the University of Edinburgh with vast experience supporting real research projects 16–19 March prstats.org/course/singl... #PhDStudents #SingleCell #Bioinformatics #Genomics #DataScience

PR Stats @prstats.bsky.social · 10/02/2026

Live online course on advanced Python for biological research, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at the University of Edinburgh. 23–26 March Details: prstats.org/course/advan... #PhDStudents #Python #Bioinformatics #ComputationalBiology

Advanced Python for Ecologists and Evolutionary Biologists - PR Stats

Advanced Python for Biologists (APYB01) builds on core Python skills to teach advanced features, including OOP, functional programming, testing, and performance profiling. Designed for biologists solv...

PR Stats @prstats.bsky.social · 09/02/2026

Live online course on deep learning using R, taught by Mark Andrews, Senior Lecturer in Psychology with extensive experience in Bayesian modelling, statistical computing, and machine learning. 21–22 April prstats.org/course/deep-... #PhDStudents #DeepLearning #RStats #MachineLearning #DataScience

Deep Learning using R (DLUR01) | PR Statistics

A two day online course introducing deep learning in R using the torch package. Learn neural network foundations, training workflows, MLPs, CNNs and transformer models, implement a minimal GPT, and ap...

PR Stats @prstats.bsky.social · 09/02/2026

Live online course! On community ecology analysis using vegan in R, taught by Antoine Becker-Scarpitta, a community and forest ecologist with extensive experience in applied ecological modelling 20–24 April prstats.org/course/multi... #PhDStudents #Ecology #RStats #CommunityEcology #Biodiversity

Multivariate Analysis of Ecological Communities Using VEGAN (VGNR09) - PR Stats

Analyse ecological community data in R using VEGAN. Learn ordination, clustering, and multivariate statistics with real datasets.

PR Stats @prstats.bsky.social · 08/02/2026

Deep learning with real research data Live online course on deep learning using Python, taught by Mark Andrews, an experienced instructor in applied modelling and computational methods 14–15 April Details prstats.org/course/deep-... #PhDStudents #DeepLearning #Python #MachineLearning #DataScience

Deep Learning Using Python (DLUP01) - PR Stats

Learn deep learning with Python and PyTorch in this two day online course. Build neural networks, CNNs and transformer models, implement training workflows, and work with real datasets. Ideal for rese...

PR Stats @prstats.bsky.social · 07/02/2026

Practical Python for data science and statistical computing in PhD research. Taught by Mark Andrews, Senior Lecturer in Psychology and long standing instructor in applied Bayesian data analysis. 7–8 April Details: prstats.org/course/pytho... #PhDStudents #Python #DataScience #BayesianStatistics

Python for Data Science and Statistical Computing (PYDS01) - PR Stats

A two day online course teaching Python for data science and statistical computing. Learn programming essentials, NumPy, Pandas, data visualisation, and basic statistical analysis using real datasets....

PR Stats @prstats.bsky.social · 07/02/2026

Live online course on Python for biological data exploration and visualisation, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at the University of Edinburgh 2–5 March 2026 prstats.org/course/pytho... #PhDStudents #Python #Bioinformatics #DataScience

Python for Biological Data Exploration and Visualization | PR Statistics

Master data exploration and visualisation techniques using Python. This practical course is designed for researchers and scientists with basic Python experience. Learn to clean, analyse, and present b...

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PR Stats @prstats.bsky.social · 09/12/2025

Spatial Multiplexed Proteomics Data course 9 to 13 Feb An intro to processing fluorescence microscopy taught by Dr Victor Perez Meza, an image analysis specialist focused on artefact correction prstats.org/course/intro... #SpatialProteomics #SpatialOmics #ImageAnalysis #Microscopy #Bioinformatics

Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data | PR Statistics

This 5-day live online course provides a comprehensive introduction to processing and analysing spatial multiplexed proteomics data from imaging platforms such as CODEX, MACSIMA, and CycIF. Participan...

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PR Stats @prstats.bsky.social · 09/12/2025

Deep Learning Using Python course 12–13 Feb. A practical introduction to neural networks, model training, and applied deep learning workflows. Led by Dr Mark Andrews, an experienced instructor in data science and machine learning. prstats.org/course/deep-... #DeepLearning #Python #MachineLearning

Deep Learning Using Python - PR Stats

Learn deep learning with Python and PyTorch in this two day online course. Build neural networks, CNNs and transformer models, implement training workflows, and work with real datasets. Ideal for rese...

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PR Stats @prstats.bsky.social · 12/11/2025

Introduction to Python for Biologists 26–29 Jan | Online A hands-on 4-day course for life scientists new to coding. Learn to build reproducible workflows using Python. prstats.org/course/introduction-to-python-for-biologists-ipyb01 #Python #Bioinformatics #LifeSciences #DataAnalysis #Programming

Introduction to Python for Ecologists and Evolutionary Biologists - PR Stats

Introduction to Python for Biologists (IPYB01) is a beginner-friendly course that equips researchers with essential programming skills for bioinformatics. Using biological examples, the course teaches...

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PR Stats @prstats.bsky.social · 02/12/2025

Our Bayesian Species Distribution Modelling course runs 27 to 29 Jan Three days of applied SDM, spatial workflows, and reproducible Bayesian modelling taught by Dr Márcia Barbosa, a leader in open ecological modelling prstats.org/course/speci... #SDM #Ecology #Bayesian #RStats #GIS #SpatialEcology

Bayesian SDM in R | PR Statistics

A hands-on course in Bayesian species distribution modelling using R. Learn to incorporate uncertainty and make robust ecological predictions for conservation and environmental management.

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PR Stats @prstats.bsky.social · 02/12/2025

Our RNA-seq Analysis course runs 26 to 29 Jan. A practical introduction to processing and analysing transcriptomic data in R, taught by Dr Frances Turner. From raw reads to expression and interpretation. prstats.org/course/rna-s... #RNAseq #Bioinformatics #Genomics #Transcriptomics #NGS #RStats

RNA-Seq Analysis | PR Statistics

Master RNA-Seq data analysis with this comprehensive live online course. Across four days, participants will learn how to design RNA-Seq experiments, process raw sequencing data, perform quality contr...

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PR Stats @prstats.bsky.social · 05/11/2025

Species Distribution Modelling with Bayesian Statistics 27–29 Jan Learn how to build, run, and interpret Bayesian species distribution models in R. Dr Márcia Barbosa prstats.org/course/species-distribution-modelling-with-bayesian-statistics-sdmb07 #Ecology #Rstats #Bayesian #Biodiversity #SDM

Bayesian SDM in R | PR Statistics

A hands-on course in Bayesian species distribution modelling using R. Learn to incorporate uncertainty and make robust ecological predictions for conservation and environmental management.

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PR Stats @prstats.bsky.social · 05/11/2025

RNA-seq Analysis using R 26–29 Jan | A practical 4-day course covering the full RNA-seq workflow from raw reads to results using R and leading bioinformatics tools. Instructor: Dr Frances Turner prstats.org/course/rna-seq-analysis-rnaa01 #RNAseq #Transcriptomics #Bioinformatics #Genomics #Rstats

RNA-Seq Analysis | PR Statistics

Master RNA-Seq data analysis with this comprehensive live online course. Across four days, participants will learn how to design RNA-Seq experiments, process raw sequencing data, perform quality contr...

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UKIRSC Marine Mammals @ukirsc.bsky.social · 17/01/2026

Our winner for best short talk at #UKIRSC26 was Josh Symes “Risso’s dolphins of the South-West” 🏆🐬 Thank you to @prstats.bsky.social and Whales et al. ART for sponsoring this prize!

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PR Stats @prstats.bsky.social · 09/12/2025

GLMM for Ecologists course 2-6 Feb. A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models prstats.org/course/intro... #GLMM #Ecology #RStats #MixedModels #DataAnalysis

Introduction to Generalised Linear Mixed Models for Ecologists | PR Statistics

A five day online course introducing linear models, GLMs, and multilevel models for ecological data using R, lme4, and rstanarm. Learn regression, ANOVA, interactions, diagnostics, overdispersion, zer...

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PR Stats @prstats.bsky.social · 09/12/2025

Our Python for Data Science and Statistical Computing course runs 9 to 10 Feb. A practical introduction to data manipulation, visualisation, and statistical workflows Taught by Dr Mark Andrews. prstats.org/course/pytho... #Python #DataScience #StatisticalComputing #ResearchSkills #MachineLearning

Python for Data Science and Statistical Computing - PR Stats

A two day online course teaching Python for data science and statistical computing. Learn programming essentials, NumPy, Pandas, data visualisation, and basic statistical analysis using real datasets....

PR Stats @prstats.bsky.social · 09/12/2025

Deep Learning Using Python course 12–13 Feb. A practical introduction to neural networks, model training, and applied deep learning workflows. Led by Dr Mark Andrews, an experienced instructor in data science and machine learning. prstats.org/course/deep-... #DeepLearning #Python #MachineLearning

Deep Learning Using Python - PR Stats

Learn deep learning with Python and PyTorch in this two day online course. Build neural networks, CNNs and transformer models, implement training workflows, and work with real datasets. Ideal for rese...

PR Stats @prstats.bsky.social · 09/12/2025

Spatial Multiplexed Proteomics Data course 9 to 13 Feb An intro to processing fluorescence microscopy taught by Dr Victor Perez Meza, an image analysis specialist focused on artefact correction prstats.org/course/intro... #SpatialProteomics #SpatialOmics #ImageAnalysis #Microscopy #Bioinformatics

Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data | PR Statistics

This 5-day live online course provides a comprehensive introduction to processing and analysing spatial multiplexed proteomics data from imaging platforms such as CODEX, MACSIMA, and CycIF. Participan...

PR Stats @prstats.bsky.social · 09/12/2025

Our Python for Data Science and Statistical Computing course runs 9 to 10 Feb. A practical introduction to data manipulation, visualisation, and statistical workflows Taught by Dr Mark Andrews. prstats.org/course/pytho... #Python #DataScience #StatisticalComputing #ResearchSkills #MachineLearning

Python for Data Science and Statistical Computing - PR Stats

A two day online course teaching Python for data science and statistical computing. Learn programming essentials, NumPy, Pandas, data visualisation, and basic statistical analysis using real datasets....

PR Stats @prstats.bsky.social · 09/12/2025

GLMM for Ecologists course 2-6 Feb. A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models prstats.org/course/intro... #GLMM #Ecology #RStats #MixedModels #DataAnalysis

Introduction to Generalised Linear Mixed Models for Ecologists | PR Statistics

A five day online course introducing linear models, GLMs, and multilevel models for ecological data using R, lme4, and rstanarm. Learn regression, ANOVA, interactions, diagnostics, overdispersion, zer...

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Neftalí Sillero @neftalisillero.bsky.social · 08/12/2025

Last contribution! We propose a novel method for sampling bias correction by weighting observer kernel densities for individual species with the relative observers' contribution to the total number of focus species presences. nsojournals.onlinelibrary.wiley.com/doi/10.1002/...

nsojournals.onlinelibrary.wiley.com

Species‐observer link and kernel density estimation of background points allow for sampling bias correction in bird species distribution models

Species distribution models (SDMs), broadly referring to both species distribution and ecological niche modelling frameworks, are widely used to predict habitat suitability. However, their performanc...