Search for tag: "parameters"

ASR Lecture 13

ASR Lecture 13: Speaker adaptation

From  Peter Bell on March 25th, 2021 0 likes 1 plays 0  

EEA 2021 - Analysis of Variance

Lecture on analysis of variance and parametric equivalents

From  Kyle Dexter on March 4th, 2021 0 likes 41 plays 0  

Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach.

The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 26 February 2021Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC…

From  OLLIE Quinn on March 1st, 2021 0 likes 12 plays 0  

UK-APASI in Mathematical Sciences: Graeme Ackland

Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences Graeme Ackland, University of Edinburgh - Modelling and Data Challenges in a Pandemic

From  Liam Holligan on February 24th, 2021 0 likes 7 plays 0  

UK-APASI in Mathematical Sciences: John H. Njagarah

Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences John H. Njagarah, Botswana International University - Sensitivity analysis of parameters of an epidemic…

From  Liam Holligan on February 24th, 2021 0 likes 6 plays 0  

UK-APASI in Mathematical Sciences: Eduard Campillo-Funollet (Sussex)

Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences Eduard Campillo-Funollet - Parameter estimation of SIR models

From  Liam Holligan on February 24th, 2021 0 likes 7 plays 0  

UK-APASI in Mathematical Sciences: Jane White (Lecture 6)

Subtitles will be added soon. Tuesday 23 February 2021 UK-APASI in Mathematical Sciences Jane White - Incorporating behavioural change in models for infection dynamics

From  Liam Holligan on February 23rd, 2021 0 likes 14 plays 0  

Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation

5 February 2021Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulationThere…

From  OLLIE Quinn on February 11th, 2021 0 likes 13 plays 0  

On the joint moments of characteristic polynomials of random unitary matrices - Theo Assiotis

VISS online seminar series On the joint moments of characteristic polynomials of random unitary matrices Theo Assiotis (Edinburgh) 10 February 2021 An automated programme is used to generate the…

From  GILLIAN KERR on February 10th, 2021 0 likes 16 plays 0  

Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis

Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Chemotaxis is…

From  OLLIE Quinn on February 4th, 2021 0 likes 11 plays 0  

FDS-S2-03-1-1 principle of A/B testing

We explain the principle of A/B testing, and how to derive confidence intervals for the difference in population proportions using the bootstrap.

From  David Sterratt on January 28th, 2021 0 likes 161 plays 0  

Luca Del Core (Groningen) - Stochastic modelling of COVID-19 spread in Italy - 22nd Jan 2021

22 January 2021Luca Del Core (Groningen) - Stochastic modelling of COVID-19 spread in Italy Italy was particularly hard hit during COVID-19 pandemic and the aim of this work is to describe the…

From  OLLIE Quinn on January 25th, 2021 0 likes 46 plays 0  

FDS-S2-01-2-1 Introduction to estimation

We'll introduce the concept of estimating a population or distribution parameter from a sample.

From  David Sterratt on January 14th, 2021 0 likes 204 plays 0  

Ivan Oseledets 11 January 2021 Machine learning and numerical methods

An automated programme has been used to generate the subtitles on this talk.

From  OLLIE Quinn on January 11th, 2021 0 likes 124 plays 0  

NLU+ Lecture 5: Feed Forward Neural Networks

Feed Forward Neural Networks

From  Ruairi O'Hare on December 29th, 2020 0 likes 7 plays 0  

Likely instabilities in liquid crystal elastomers - Angela Mihai

Continuum Mechanics Seminar Series Angela Mihai (Cardiff University) Likely instabilities in liquid crystal elastomers Friday 18 December 2020 An automated programme is used to generate the subtitles…

From  GILLIAN KERR on December 18th, 2020 0 likes 36 plays 0