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Introduction to Bayesian Statistics | Data Culture & Society
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<time>26 Mar 2025, 14:00 – 16:00</time> <time>2 Apr 2025, 14:00 – 16:00</time> </div> <div class="field inner"> <div class="book-button"> <div class="field-label-inline">Book Now</div> <a href="https://www.events.ed.ac.uk/index.cfm?event=showEventDetails&scheduleId=75889&start=&eventStart=0&eventProviderId=136">Book Now</a> </div> </div> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><img src="/files/inline-images/Introduction%20to%20Bayesian%20Statistics_no%20text_0.png" data-entity-uuid="94c87bc7-3186-4fce-8c91-ed6b5c454d2f" data-entity-type="file" alt="Intro to Bayesian" width="1440" height="810" loading="lazy"><p> </p><h3>In Person</h3><p>This two-class course will introduce you to working with Bayesian Statistics. Distinct from frequentist statistics, which is concerned with accepting or rejecting the null hypothesis, Bayesian Statistics asks what the <em>probability </em>of different hypotheses is, given the data and our prior beliefs about the world.</p><p>On this course, we will talk through the conceptual underpinnings of Bayesian Statistics, and give you hands-on practice fitting Bayesian models in R.</p><p>This is an advanced-level course. We will assume that you are comfortable using R and RStudio, and familiar with linear regression models (e.g. in lme4).</p><p><strong>Please note that there is a reasonable amount of pre-setup required for this course, which in some cases will involve uninstalling and reinstalling R and RStudio (depending on version).</strong></p><p>Instructions will be provided ahead of the training to those that have registered.</p><p> </p><p>This course will be taught by Aislinn Keogh.</p><p>After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows. </p><p><a href="https://www.cdcs.ed.ac.uk/training/data-surgery">More details about Data Surgeries.</a> </p><p>If you’re new to this training event format, or to CDCS training events in general, <a href="https://www.cdcs.ed.ac.uk/what-expect-cdcs-training">read more on what to expect from CDCS training</a>. Here you will also find details of our cancellation and no-show policy, which applies to this event.</p><p> </p><h3>Learning Outcomes:</h3><ul><li>Understand how beliefs about the world are formalised.</li><li>See how different priors influence a model’s estimates.</li><li>Get to grips with interpreting posterior distributions.</li><li>Familiarise yourself with the workflow for running a Bayesian analysis.</li><li>Practise fitting and inspecting Bayesian models using the brms package in R.</li></ul><p> </p><h3>Knowledge refreshment pre-reading suggestions</h3><ul><li><a href="https://media.ed.ac.uk/media/CDCS%20Text%20%26%20Data%20Analysis%20Summer%20School%202022%20-%20Intro%20to%20R%20and%20R%20Studio/1_3usrqpmj">Introductory video on navigating RStudio</a> </li><li><a href="https://www.khanacademy.org/math/statistics-probability/probability-library/basic-theoretical-probability/a/probability-the-basics">Basics of probability theory</a> </li><li><a href="https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/animal-science/hypothesis-tests/introduction-to-hypothesis-testing-and-confidence-intervals.html">Overview of null hypothesis significance testing</a> </li></ul><p> </p><p lang="EN-US">If you're interested in other training on data analysis, statistics, and machine learning, have a look at the following: </p><ul><li><a href="https://www.cdcs.ed.ac.uk/events/digital-method-of-the-month-statistical-methods-linear-modelling-jan25">Digital Method of the Month: Statistical Methods - Linear Modelling </a></li><li><a href="https://www.cdcs.ed.ac.uk/events/intro-stats-descriptive-stats-feb25">Introduction to Statistics and Descriptive Statistics</a></li><li><a href="https://www.cdcs.ed.ac.uk/events/causal-inference-mar25">A Gentle Introduction to Causal Inference</a></li><li><a href="/events/null-hypothesis-testing-r-mar25">Null Hypothesis Testing in R</a></li><li><a href="https://www.cdcs.ed.ac.uk/events/digital-method-month-machine-learning25">Digital Method of the Month: Machine Learning</a></li><li><a href="https://www.cdcs.ed.ac.uk/events/introduction-machine-learning25">An Introduction to Machine Learning</a></li><li><a href="https://www.cdcs.ed.ac.uk/events/regression-and-mixed-effects-modelling">Regression and Mixed Effects Modelling</a></li></ul><p> </p><h3><a href="https://www.cdcs.ed.ac.uk/training">Return to the Training Homepage to see other available events.</a></h3></div> <div class="field field-name-field-video"> <div class="paragraph--color paragraph--color--rgba-white-strong standard paragraph paragraph--type-text-video paragraph--view-mode-default ds-2col clearfix twin" id="paragraph-id--4503"> <div class="paragraph__column inner"> <div class="group-left"> </div> <div class="group-right"> </div> </div> </div> </div> <div class="field inner"> <div class="node node--type-venue node--view-mode-map ds-1col clearfix"> <div 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