The "LMS Invited Lecture Series and CRISM Summer School on Computational Statistics" will be held at the University of Warwick from the 9th-13th July 2018. The lecture series and summer school are aimed at both those interested in learning more about the area and established researchers in areas of computational statistics. The initial lectures will focus on foundational aspects of simulation (given by Art Owen (Stanford)), and this will be followed by a series of lectures on four more specialist topics going from the fundamentals of the specialist topic to state-of-the-art (lectured by Art Owen (Stanford), Nicolas Chopin (ENSAE), Mark Huber (Claremont-McKenna) and Jeff Rosenthal (Toronto)).
The lecture series and summer school will be held over 5 full days, comprising 5 short courses by 4 distinguished researchers, 20 hours of lectures, a wine reception, a poster session and a conference dinner. It is timed to follow on from the 2018 ISBA World Meeting, Edinburgh UK, 24th-29th June 2018 (we are an official satellite conference) , MCQMC, Rennes France, 1st-6th July 2018 (we are a partner), and BAYSM 2018, University of Warwick UK, 2nd-3rd July 2018 (we are a partner), and we hope to get a critical mass of both researchers in computational statistics, and those keen to learn more and apply the techniques. Some funding is available to early career researchers to cover registration fees (aimed at those within 5 years of submitting their Ph.D.).
We would like to thank both the London Mathematical Society and CRISM for kindly supporting this activity. We would like to thank Amazon and Google for sponsoring the Summer School and providing financial support for early career researchers.
Short Course Speakers
- Art Owen (Stanford) - LMS Invited Lecturer 2018
- "Foundations of Simulation" short course (5 lectures)
- "Monte Carlo, Markov Chain Monte Carlo, Quasi-Monte Carlo" short course (3-4 lectures)
- Nicolas Chopin (ENSAE)
- "Sequential Monte Carlo" short course (3-4 lectures)
- Mark Huber (Claremont-McKenna)
- "Perfect Simulation" short course (3-4 lectures)
- Jeff Rosenthal (Toronto)
- "Optimising and Adapting Metropolis Algorithms" short course (3-4 lectures)
- Administrative Details
- Including - Map; Venue Information; Directions; Accommodation; Campus Facilities; Contacts.
- Programme (provisional)
- Abstracts (provisional)
- Booklet (forthcoming)
- Registration (forthcoming, mailing list sign-up available)
- Poster Submission