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statistics

Department of Statistics

Statistics, ethical and unethical: Some historical vignettes

David Steinsaltz gives a lecture on the ethical issues in statistics using historical examples.
Department of Statistics

Ethics from the perspective of an applied statistician

Professor Denise Lievesley discusses ethical issues and codes of conduct relevant to applied statisticians.
Department of Statistics

A Day in the Life of a Statistics Consultant

Maria Christodoulou and Mariagrazia Zottoli share what a standard day is like for a statistics consultant.
How Epidemics End
Captioned

Christl Donnelly and the Statistical End of Epidemics

Professor Christl Donnelly (Oxford and Imperial) and Dr Erica Charters discuss how statistical and mathematical epidemiology measure the end of epidemics, including BSE, Ebola, influenza, and Covid-19.
Department of Statistics

Causality and Autoencoders in the Light of Drug Repurposing for COVID-19

Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021.
Department of Statistics

Recent Applications of Stein's Method in Machine Learning

Qiang Liu (University of Texas at Austin) gives the OxCSML Seminar on Friday 4th June 2021.
Department of Statistics

Do Simpler Models Exist and How Can We Find Them?

Cynthia Rudin (Duke University) gives a OxCSML Seminar on Friday 14th May 2021.
Department of Statistics

Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning

Aki Vehtari (Aalto University) gives the OxCSML Seminar on Friday 7th May 2021
Department of Statistics

Complexity of local MCMC methods for high-dimensional model selection

Quan Zhou, Texas A and M University, gives an OxCSML Seminar on Friday 25th June 2021.
Department of Statistics

Assessing Personalization in Digital Health

Distinguished Speaker Seminar - Friday 18th June 2021, with Susan Murphy, Professor of Statistics and Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences.
Department of Statistics

Machine Learning in Drug Discovery

Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford.
Department of Statistics

Several structured thresholding bandit problems

OxCSML Seminar - Friday 28th May 2021, presented by Alexandra Carpentier (University of Magdeburg).
Department of Statistics

A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline

Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021.
Department of Statistics

Approximate Bayesian computation with surrogate posteriors

Julyan Arbel (Inria Grenoble - Rhône-Alpes), gives an OxCSML Seminar on Friday 30th April 2021, for the Department of Statistics.
Department of Statistics

Introduction to Bayesian inference for Differential Equation Models Using PINTS

Ben Lambert, Department of Computer Science, University of Oxford, gives the Graduate Lecture on Thursday 6th May 2021, for the Department of Statistics.
Department of Statistics

On classification with small Bayes error and the max-margin classifier

Professor Sara Van de Geer, ETH Zürich, gives the Distinguished Speaker Seminar on Thursday 29th April 2021 for the Department of Statistics.
Department of Statistics

Convergence of Online SGD under Infinite Noise Variance, and Non-convexity

Murat Erdogdu gives the OxCSML Seminar on Friday 12th March, 2021, for the Department of Statistics.
The Secrets of Mathematics
Captioned

Oxford Mathematics Public Lecture. Jon Keating: From one extreme to another: the statistics of extreme events

Oxford University's Sedleian Professorship of Natural Philosophy is 400 years old in 2021.
Department of Statistics

Distribution-dependent generalization bounds for noisy, iterative learning algorithms

Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 2021.
Department of Statistics

Finding Today’s Slaves: Lessons Learned From Over A Decade of Measurement in Modern Slavery

Professor Davina Durgana, award-winning international human rights statistician and professor with almost 15 years of experience developing leading global models to assess risk to modern slavery, gives a talk on their work on modern slavery.

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