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Found 5 results

  1. Registration is open for Transmitting Science course “Introduction to Bayesian Inference in Practice”, May 6th-10th, 2019, Barcelona (Spain). Instructors: Dr. Daniele Silvestro (University of Gothenburg, Sweden) and Tobias Hofmann (University of Gothenburg, Sweden) Course overview Bayesian methods have become standard practice in several fields, (e.g. phylogenetic inference, evolutionary (paleo)biology, genomics), yet understanding how this Bayesian machinery works is not always trivial. The instructor will outline the relevant concepts and basic theory, but the focus of the course will be to learn how to do Bayesian inference in practice. He will show how to implement the most common algorithms to estimate parameters based on posterior probabilities, such as Markov Chain Monte Carlo samplers, and how to build hierarchical models. The course will take a learn-by-doing approach, in which participants will implement their own MCMCs using R or Python (templates for both languages will be provided). After completion of the course the participants will have gained a better understanding of how the main Bayesian methods implemented in many programs used in biological research work. Participants will also learn how to model at least basic problems using Bayesian statistics and how to implement the necessary algorithms to solve them. Participants are encouraged to think of potential applications of Bayesian inference in their research, which we will discuss and try to implement during the course. For more information please check the course webpage: http://www.transmittingscience.org/courses/statistics-and-bioinformatics/introduction-bayesian-inference-practice/
  2. Agency: PR statistics Location: Glasgow Scotland Course cost: £520 Dates: 10/15/2018-10/19/2018 https://www.prstatistics.com/ Applied Bayesian modelling for ecologists and epidemiologists (ABME04) This course will be delivered by Matt Denwood in Glasgow City Centre from 15th - 19th October 2018. https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme04/ Please feel free to share anywhere you see fit. Course Overview: This application-driven course will provide a founding in the basic theory & practice of Bayesian statistics, with a focus on MCMC modeling for ecological & epidemiological problems. Starting from a refresher on probability & likelihood, the course will take students all the way to cutting-edge applications such as state-space population modelling & spatial point-process modelling and will be of interest to anyone studying population ecology of marine mammals. By the end of the week, you should have a basic understanding of how common MCMC samplers work and how to program them, and have practical experience with the BUGS language for common ecological and epidemiological models. The experience gained will be a sufficient foundation enabling you to understand current papers using Bayesian methods, carry out simple Bayesian analyses on your own data and springboard into more elaborate applications such as dynamical, spatial and hierarchical modelling. Intended Audience: Research postgraduates, practicing academics and primary investigators in ecology and epidemiology and professionals in government and industry. Oliver Hooker +44 (0) 7966500340 oliverhooker@prstatistics.com
  3. Introductory and advanced occupancy modeling courses | Oct. 2018, VA, USA Beginner/intermediate course: 15-19 October 2018 Advanced course: 22-26 October 2018 Occupancy models are a suite of methods that have been developed for examining the patterns and dynamics of species occurrence (e.g., presence/absence) across a region of interest, particularly while account for the imperfect detection of species. They may be used in a wide range of ecological applications, from simply providing a monitoring metric, to investigating relationships between the distribution of a species with environmental variables (i.e., species distribution modelling), or how these change over time. Darryl MacKenzie (http://www.proteus.co.nz/about.php) will be teaching an introductory and advanced workshop on these methods at Blacksburg, Virginia, USA, in October 2018. Each course is 4.5 days long with a course fee of USD$800 per course if registered before 24 September (USD$900 thereafter). A 10% discount is available if registering for both. For more more details got to: https://www.proteus.co.nz/courses
  4. Join RStudio Chief Data Scientist Hadley Wickham at the University of Illinois at Chicago, on Wednesday May 27th & 28th for this rare opportunity to learn from one of the R community’s most popular and innovative authors and package developers. As of this post, the workshop is two-thirds sold out. If you’re in or near Chicago and want to boost your R programming skills, this is Hadley’s only Central US public workshop planned for 2015. Register here: https://rstudio-chicago.eventbrite.com
  5. Instructors: Marc Kéry & Jérôme Guélat, Swiss Ornithological Institute Date: 9–11 February 2015 Venue: Universidade Federal de Viçosa, Minas Gerais, Brazil Computers: Bring your own laptop with latest R, JAGS and WinBUGS or OpenBUGS Costs: 1000 Reais (400 US$) This course gives an introduction to Bayesian statistical modeling using BUGS software and then introduces a key class of models for the analysis of species distribution, habitat selection, occurrence and abundance: site‐occupancy models (MacKenzie et al. 2002, 2003; Tyre et al. 2003). Model fitting is shown using the Bayesian BUGS software and the R package unmarked. The course follows the book “Bayesian population analysis using WinBUGS” (Academic Press, 2012) by Kéry & Schaub and the upcoming book “Applied hierarchical models in ecology” (Academic Press, 2015) by Marc Kéry & Andy Royle. See the attached flier for more details. Occupancy Workshop Announcement, Vicosa, 9-11 Feb 2015.pdf
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