**H**ere are the slides of the presentation I gave at the EPSRC Advanced Computational methods for complex models in Biology at University College London, last week. Introducing random forests as proper summaries for both model choice and parameter estimation (with considerable overlap with earlier slides, obviously!). The other talks of that highly interesting day on computational Biology were mostly about ancestral graphs, using Wright-Fisher diffusions for coalescents, plus a comparison of expectation-propagation and ABC on a genealogy model by Mark Beaumont and the decision theoretic approach to HMM order estimation by Chris Holmes. In addition, it gave me the opportunity to come back to the Department of Statistics at UCL more than twenty years after my previous visit, at a time when my friend Costas Goutis was still there. And to realise it had moved from its historical premises years ago. (I wonder what happened to the two staircases built to reduce frictions between Fisher and Pearson if I remember correctly…)

## Archive for EPSRC

## advanced computational methods for complex models in Biology [talk]

Posted in Books, pictures, Statistics, Travel, University life with tags ABC, Bayesian computing, Biology, coalescent, computational biology, England, EPSRC, expectation-propagation, London, random forests, UCL, University College London, Wright-Fisher model on September 29, 2016 by xi'an## OxWaSP (The Oxford-Warwick Statistics Programme)

Posted in Kids, Statistics, University life with tags big data, data science, EPSRC, machine learning, PhD position, University of Oxford, University of Warwick on January 21, 2014 by xi'an*This is an official email promoting OxWaSP, our joint doctoral training programme, which I [objectively] think is definitely worth considering if planning a PhD in Statistics. Anywhere.*

The Statistics Department – University of Oxford and the Statistics Department – University Of Warwick, supported by the EPSRC, will run a joint Centre of Doctoral Training in the theory, methods and applications of Statistical Science for 21st Century data-intensive environments and large-scale models. This is the first centre of its type in the World and will equip its students to work in an area in growing demand both in academia and industry.

Each year from October 2014 OxWaSP will recruit at least 5 students attached to Warwick and at least 5 attached to Oxford. Each student will be funded with a grant for four years of study. Students spend the first year at Oxford developing advanced skills in statistical science. In the first two terms students are given research training through modular courses: Statistical Inference in Complex Models; Multivariate Stochastic Processes; Bayesian Analyses for Complex Structural Information; Machine Learning and Probabilistic Graphical Models; Stochastic Computation for Intractable Inference. In the third term, students carry out two small research projects. At the end of year 1, students begin a three-year research project with a chosen supervisor, five continuing at Oxford and five moving to the University of Warwick.

Training in years 2-4 includes annual retreats, workshops and a research course in machine learning at Amazon (Berlin). There are funded opportunities for students to work with our leading industrial partners and to travel in their third year to an international summer placement in some of the strongest Statistics groups in the USA, Europe and Asia including UC Berkeley, Columbia University, Duke University, the University of Washington in Seattle, ETH Zurich and NUS Singapore.

Applications will be considered in gathered fields with the next **deadline of 24 January 2014** (Non-EU applicants should apply by this date to maximise their chance of funding). Interviews for successful applicants who submit by the January deadline will take place at the end of February 2014. There will be a second deadline for applications at the end of February (Warwick) and 14th March (Oxford).

## I like…intractable likelihoods (openings)

Posted in Statistics with tags ABC, EPSRC, i-like, intractable likelihood, Lancaster University, likelihood-free methods, openings, University of Bristol, University of Oxford, University of Warwick on December 22, 2012 by xi'an**A** new EPSRC programme grant, called **i-like**, has been awarded to researchers in Bristol, Lancaster, Oxford, and Warwick, to conduct research on intractable likelihoods. (I am also associated to this program as a [grateful] collaborator.) This covers several areas of statistics, like big data and inference on stochastic process, but my own primary interest in the programme is of course the possibilities to conduct collaboration on ABC and composite likelihood methods. (Great website design, by the way!)

**A** first announcement is that there will be a half-day launch in Oxford on January 31, 2013, which program is now available. Followed by a workshop in mid-May in Warwick (to which I will participate). This event is particularly aimed at PhD students and early-career researchers. The second announcement is that the EPSRC programme grant provides funding for five postdoctoral positions over a duration of four years, which is of course stupendous! So if you like i-like as much as I like it, and are a new researcher looking for opportunities in exciting areas, you should definitely consider applying!

## MASDOC

Posted in Statistics, University life with tags Birmingham, Centre for Doctoral Training, EPSRC, graduate program, MASDOC, PhD thesis, University of Warwick on January 14, 2011 by xi'an**O**n Wednesday, I went to the University of Warwick to take part in a meeting about their new MASDOC programme. This programme was launched last year with the support of the EPSRC in three U.K. universities, Warwick, Lancaster and Cambridge (for math). It prepares graduate (fifth year) students for conducting a PhD in Mathematics or Statistics by providing them with extra tutoring and by creating a “cohort” of students working together on research topics. For the first year, the cohort was made of eleven students selected among applicants from both the UK and abroad. Besides a solid volume of courses in Mathematics, Probability and Statistics, MASDOC has the students working in small teams on an applied math problem (e.g., data assimilation, biomembranes, brain imaging) in order to (a) determine a reserarch programme and (b) propose a solution. The teams switch between (a) and (b) which is a neat good idea. The students are also given a common working room in order to increase their team abilities. When discussing with them, I was quite impressed by their maturity and involvement, as they already had a vision of their research interests. In fact, they have somehow gained one year ahead of the average student in terms of decision-making and planning, if not in terms of contents. Of course, this approach to graduate training is rather elitist in that it cannot be extended to all first-year graduates, however it is a worthy investment by EPSRC and the selected universities for building a core of PhD students and future academics with a broader spectrum, a more mature approach to research and teamwork, and hence a higher efficiency now and later. As a side issue, the MASDOC programme is also pushing for exchanges between institutions at the graduate and PhD levels, which is always a plus. Especially when considering the possibilities offered by the Paris graduate school of mathematical sciences.