Search for tag: "naught"

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 9 plays 0  


Part 1 (of 3) of talk showing some examples of event attribution. Talk developed for virtual workshop in Event Attribution for early career China-based researchers.

From  Simon Tett on February 16th, 2021 0 likes 22 plays 0  

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Denis Talay (Inria and Ecole Polytechnique)

Denis Talay (Inria and Ecole Polytechnique) Probability distributions of first hitting times of solutions to SDEs w.r.t. the Hurst parameter of the driving fractional Brownian noise: A sensitivity…

From  DIANE HORBERRY on February 10th, 2021 0 likes 33 plays 0  

FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients

We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic…

From  David Sterratt on January 20th, 2021 0 likes 125 plays 0  

FDS-S2-02-2-1 Principle of logistic regression

We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios.

From  David Sterratt on January 19th, 2021 0 likes 185 plays 0  

FDS-S2-02-1-2 P-values

We introduce P-values, an important but tricky concept in hypothesis testing

From  David Sterratt on January 18th, 2021 0 likes 185 plays 0  

26 November Stahl-Totik regularity for orthogonal rational functions with real poles and GMP matrices Benjamin Eichinge

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

From  GILLIAN KERR on November 27th, 2020 0 likes 20 plays 0  

CL - 9d - DPLL III

We introduce the idea of using a divide and conquer algorithm.

From  Haoran Peng on November 4th, 2020 0 likes 242 plays 0  

Topic 49: Least Squares Estimation (PETARS, Chapter 6)

The least squares approach is presented as a non-probabilistic method for designing an estimator of a set of parameters, assuming a model is provided for describing the data. This is presented as…

From  James Hopgood on October 28th, 2020 0 likes 63 plays 0  

CL - 6e - DNF

More on blocks of ones (which correspond to conjunctions of literals).This video shows how to use a Karnaugh map to represent an arbitrary Boolean function of four variables as a disjunctive normal…

From  Haoran Peng on October 24th, 2020 0 likes 398 plays 0  

CL - 6c - Karnaugh Maps II

This video shows you how to find your way through the state space represented by a Karnaugh Map, and introduces features called blocks. In this video we focus on blocks of ones.

From  Haoran Peng on October 24th, 2020 0 likes 405 plays 0  

CL - Review 1 - Contraposition

We show the intuition of contraposition using Venn diagrams.

From  Haoran Peng on October 20th, 2020 0 likes 338 plays 0  

Topic 34: Statistical Description of Random Vectors (PETARS, Chapter 5)

This video extends the concept of statistical descriptors of probability density functions to random vectors or multiple random variables. It introduces the concept of correlation, and how this…

From  James Hopgood on October 12th, 2020 0 likes 108 plays 0  

Topic 13: Bertrand’s Paradox (PETARS, Chapter 3)

This video highlights key difficulties with the classical definition of probability. It uses Bertrand's paradox as a problem in which to study the problems associated with classical…

From  James Hopgood on September 4th, 2020 0 likes 110 plays 0  


Markov Decision Processes: Representation

From  Alexandra Lascarides on July 28th, 2020 0 likes 73 plays 0  


Joint Probability Distributions

From  Alexandra Lascarides on July 10th, 2020 0 likes 141 plays 0