Search for tag: "stochastic"

Doubly-latent Models in Spatial Epidemiology

Doubly-latent Models in Spatial Epidemiology By Glenna Nightingale, Megan Laxton and Jacqueline Aim. Copyright © University of Edinburgh 2020 CC BY-NC-SA This work is licensed under a Creative…

From  Jacqueline Aim 0 likes 33 plays 0  

One World SNIPS: Lukasz Szpruch

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems, 02 February 2022 Lukasz Szpruch (University of Edinburgh / Alan Turing Institute) From the theory of (stochastic)…

From  Simon Kershaw 0 likes 51 plays 0  

One World SNIPS: Annie Millet

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems, 19 January 2022 Annie Millet (SAMM, University Paris 1 - FP2M federation (CNRS FR 2036) and LPSM (UMR 8001))…

From  Simon Kershaw 0 likes 40 plays 0  

OW SNIPS - Irene Tubikanec (Johannes Kepler University, Linz)

Subtitles will be added soon. 17 November 2021 Irene Tubikanec (Johannes Kepler University, Linz) Plitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo…

From  Liam Holligan 0 likes 7 plays 0  

Christian Kuehn, Technical University of Munich

This recording is in the process of being subtitled. We aim to have edited captions available within 2 weeks of publishing.Title: Exploring Bifurcations of Stochastic Partial Differential…

From  Greg McCracken 0 likes 70 plays 0  

One World: Stochastic Numerics and Inverse Problems - Raul Tempone (KAUST)

Subtitles will be added soon. One World: Stochastic Numerics and Inverse Problems Raul Tempone (KAUST)

From  Liam Holligan 0 likes 42 plays 0  

Stefan Perko Student Talks

30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Edition Approximating stochastic gradient descent with diffusions: error expansions and impact of learning…

From  Greg McCracken 0 likes 46 plays 0  

James Foster - Neural stochastic differential equations for time series modelling

30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Ediition Neural stochastic differential equations for time series modelling James Foster (University…

From  Greg McCracken 0 likes 37 plays 0  

Florian Bruck EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Florian Bruck Talk Title: Exchangeable min-id sequences: Characterization, exponent measures and…

From  Anna Munro 0 likes 17 plays 0  

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Monika Eisenmann

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Monika Eisenmann (Lund University) Sub-linear convergence of stochastic optimization methods in Hilbert space …

From  Jane Walker 0 likes 145 plays 0  

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart (Caltech) Inverse Problems Without Adjoints:Ensemble Approaches Automatic subtitles have been added to this…

From  Jane Walker 0 likes 146 plays 0  

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Svetlana Dubinkina

Svetlana Dubinkina, Vrije Universiteit Amsterdam - Shadowing approach to data assimilation Automatic subtitles have been added to this recording. We are editing the subtitles to reflect the speaker,…

From  Jane Walker 0 likes 88 plays 0  

1.c

Third lecture video of Intelligent Agents and their Environments, discussing Types of Environments.

From  Claudia-Elena Chirita 0 likes 263 plays 0  

One World SNIPS - Marco Iglesias

One World Virtual Seminar Series - Stochastic Numerics and Inverse ProblemsMarco Iglesias (University of Nottingham) Title: Ensemble Kalman Inversion: from subsurface environments to composite…

From  Liam Holligan 0 likes 177 plays 0  

One World SNIPS - Gabriel Lord

Gabriel Lord Numerics and SDE a model for the stochastically forced vorticity equation

From  Liam Holligan 0 likes 146 plays 0  

One World SNIPS - Conall Kelly

Speaker: Conall Kelly, University College Cork A hybrid, adaptive numerical method for the Cox-Ingersoll-Ross model

From  Liam Holligan 0 likes 154 plays 0