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Statistical Laboratory Graduate Seminars
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The Statslab graduate seminars provide an opportunity for graduate students in the Statistical Laboratory to talk about an interesting topic (not necessarily their own work!) to fellow students. The atmosphere is more informal than the “grown-up” Statslab seminar series—the emphasis is on getting almost all of the audience to understand almost all of the talk (rather than “some of the audience understands some of the talk” model, which sometimes happens). If you have a question about this list, please contact: HoD Secretary, DPMMS; John Shimmon. If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 48 talks in the archive. Investing and Stopping, and Firms, Banks and Households
Branching particle systems with selection
The Merton Problem with a drawdown constraint on consumption
History of Statistics (up to ~1900)
An overview of shape-constrained estimation problems
Excursions of Brownian motion and some applications
An Introduction to No-Arbitrage Pricing
An Introduction to Price Indices
TCP/IP: what does it do, and why does it work
D-optimal design of experiments
Excursions for Brownian motion -- POSTPONED
The Merton Problem for Optimal Investment
Random matrices and something
Excursion theory for a finite-state Markov process
Organizational meeting
An Introduction to Dynamic Causal Inference and Multi-state Modelling in Longitudinal Data
Mutually beneficial contingent claims in incomplete markets
Littlemann Paths: an interface between representations of semi simple Lie algebras and probabilistic study of functions on the set of walks on lattices
On the estimation of causal associations with a binary outcome
Coalescent theory
Compressed sensing: Lecture 8
Generalized sampling and infinite-dimensional compressed sensing
Compressed sensing: Lecture 7
Compressed sensing: Lecture 6
Minimisation of sparse higher-order energies for large-scale problems in imaging
Compressed sensing: Lecture 5
Compressed sensing: Lecture 4
The Dantzig selector for high dimensional statistical problems
Compressed sensing: Lecture 3
Compressed sensing: Lecture 2
Compressed Sensing in RF
Compressed sensing: Lecture 1
Mutations and Card Shuffling
The limits of arbitrage, exploring "noise traders" risk
Stochastic Modelling of Nanog-Oct4-Sox2 Gene Regulatory Network
A historical law of large numbers for the Marcus-Lushnikov process
A historical law of large numbers for the Marcus-Lushnikov process
Bayesians turn to Experts for Advice!
Stochastic modelling in Biology
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