Search for tag: "statistics"

25 Feb 2022 Mark Keane, (University College Dublin) Explaining artificial intelligence: contrastive explanations for AI black boxes and what people think of them.

25 Feb 2022Mark Keane, University College DublinExplaining artificial intelligence: contrastive explanations for AI black boxes and what people think of them.Abstract: In recent years, there has been…

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Methods for Causal Inference Lecture 7

Sensitivity Analysis

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Methods for Causal Inference Lecture 5

Propensity score matching and Inverse Probability of Treatment Weighting

From  Ava Khamseh 0 likes 1 plays 0  

Vinny Davies (University of Glasgow) Computational Metabolomics as a game of Battleships

28 January 2022 Vinny Davies (University of Glasgow) Computational Metabolomics as a game of Battleships Liquid chromatography (LC) coupled to tandem mass spectrometry (MS/MS) is widely used in…

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Data Literacy for Beginners

Data Literacy for Beginners is a one-hour webinar designed to introduce staff and students to the concepts first published in a popular statistics pamphlet, entitled How To Lie with Statistics, by…

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Methods for Causal Inference Lecture 4

Introduction to potential outcomes framework

From  Ava Khamseh 0 likes 6 plays 0  

From Order to Chaos and Chaos to Order in Fluid Flows - Steven Tobias

EMS meeting hosted by University fo Edinburgh From Order to Chaos and Chaos to Order in Fluid Flows Prof Steven Tobias (University of Leeds) 21 January 2022 To remove the captions from this video…

From  Hossein Amini Kafiabad 0 likes 25 plays 0  

Jethro Browell, (University of Glasgow) Probabilistic energy forecasting: successes and challenges

14 January 2022 Jethro Browell, (University of Glasgow) Probabilistic energy forecasting: successes and challenges Energy systems are evolving rapidly as they decarbonize, consequences of which…

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Methods for Causal Inference Lecture 3

Regression, Graphs, Structural Causal Models

From  Ava Khamseh 0 likes 2 plays 0  

Methods for Causal Inference Lecture 2

Basics of Probability

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Methods for Causal Inference Lecture 1

Introduction

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Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures

26 November 2021 Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures. Advances in information technology have led to extremely large…

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Data Science MSc

Learn more about the Data Science MSc in this presentation by Dr Paolo Guagliardo, Programme Director, followed by a Q&A session.Originally recorded in November 2021. Slides can be downloaded…

From  Stuart Mckerlie 0 likes 53 plays 0  

Rebecca Shipley and her group (University College London) - Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI

15 October 2021 Rebecca Shipley and her group (University College London) - Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI Hospitals collect a wealth of physiological…

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Case Study 1 - recording

From  Margaret MacDougall 0 likes 12 plays 0  

Week 4 a) - MMD

This is the first in a series of three recorded lectures considering the graphical origins of the p-value and the corresponding different approaches to performing one- and two-tailed tests.

From  Margaret MacDougall 0 likes 257 plays 0