Events:
Joint Econometrics and Statistics Workshop
Photo by LSE
Many of our seminars and public events this year will continue as in person or as hybrid (online and in person) events.
Please check our website listings and social media feeds @STICERD_LSE at X and @LSE-STICERD-CASE at Bluesky for updates.
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Unless otherwise specified, in-person seminars are open to the public. Please ensure you have informed the event contact as early as possible.
Those unable to join the seminars in-person are welcome to participate via zoom if the event is hybrid.
Friday 31 May 2024 14:00 - 15:00
Identifiability and Consistent Estimation for Gaussian Chain Graph Model
The chain graph model admits both undirected and directed edges in one graph, where symmetric conditional dependencies are encoded via undirected edges and asymmetric causal relations are encoded via directed edges. Thou...Read more...
Haoran Zhang (Southern University of Science and Technology)
ONLINE
Friday 08 March 2024 14:00 - 15:00
Bayesian Optimal Experimental Design
In order to use machine learning in a domain without pre-existing data, we must first gather data by conducting experiments. This presents an opportunity, because we can design experiments carefully to ensure we gather t...Read more...
Adam Foster (Microsoft Research AI4Science))
ONLINE
Friday 23 February 2024 14:00 - 15:00
Consistent Causal Inference for High-Dimensional Time Series
A methodology for high dimensional causal inference in a time series context is introduced. It is assumed that there is a monotonic transformation of the data such that the dynamics of the transformed variables are descr...Read more...
Alessio Sancetta (Royal Holloway)
ONLINE
Friday 16 June 2023 14:30 - 15:30
Exploring cross-trait genetic architectures: statistical models, computational challenges, and the BIGA platform
Numerous statistical models have been proposed to analyze cross-trait genetic architectures utilizing summary statistics from genome-wide association studies (GWAS). However, systematically analyzing high-dimensional GWA...Read more...
Bingxin Zhao (University of Pennsylvania), joint with Fei Xue and Yujue Li
ONLINE
Friday 26 May 2023 12:00 - 13:00
Reinforcement Learning for Respondent-Driven Sampling
Respondent-driven sampling (RDS) is a network-based sampling strategy used to study hidden populations for which no sampling frame is available. In each epoch of an RDS study, the current wave of study participants are ...Read more...
Eric Laber (Duke University)
KSW 2.12, 20 Kingsway Building, LSE, entrance in Portugal Street, London WC2B 6LH
Tuesday 21 March 2023 12:00 - 13:00
Multiple Randomization Designs
In this study we introduce a new class of experimental designs. In a classical randomized controlled trial (RCT), or A/B test, a randomly selected subset of a population of units (e.g., individuals, plots of land, or exp...Read more...
Guido Imbens (Stanford University)
Shaw Library, 6th Floor, Old Building, LSE, Houghton Street, London WC2A 2AE
Friday 17 March 2023 12:00 - 13:00
A network approach to compute hypervolume under ROC manifold for multi-class biomarkers
Computation of hypervolume under ROC manifold (HUM) is necessary to evaluate biomarkers for their capability to discriminate among multiple disease types or diagnostic groups. However the original definition of HUM invol...Read more...
Jialiang Li (National University of Singapore)
ONLINE
Friday 17 February 2023 12:00 - 13:00
Two projects on the AUC
I will describe two current projects dealing with the AUC. The AUC is a measure of how well a binary classifier discriminates. Long popular in the medical sciences, it has seen new life in data science applications. In t...Read more...
Haben Michael (University of Massachusetts)
SAL 1.05, 1st Floor Conference Room, Sir Arthur Lewis Building, LSE, 32 Lincoln's Inn Fields, London WC2A 3PH
Friday 03 February 2023 12:00 - 13:00
Super Reinforcement Learning in Confounded Environments
We introduce super reinforcement learning in the batch setting, which takes the observed action as input for achieving a stronger oracle in policy learning. In the presence of unmeasured confounders, the recommendations ...Read more...
Jiay Wang (University of Texas)
ONLINE
Friday 20 January 2023 12:00 - 13:00
Causal Falsification of Digital Twins
We consider how to assess the accuracy of a digital twin using real-world data. We formulate this problem within the framework of causal inference, which leads to a precise definition of what it means for a twin to be "c...Read more...
Rob Cornish (Oxford)
OLD 5.25, Graham Wallas Room, Old Building, LSE, Houghton Street, London WC2A 2AE
Wednesday 01 June 2022 14:00 - 15:00
Quadratic Prediction Methodology and Calibration of Prediction Intervals Based on Subsampling
We consider nonlinear prediction of a stationary time series using quadratic functions of the past data. We derive explicit formulae for the best quadratic predictor and its MSPE. We also give conditions under which the...Read more...
Soumen Lahiri (Washington University in St Louis)
This event is both online and in person
Leverhulme Library, COL 6.15, 6th Floor, Columbia House, LSE, 69 Aldwych, London WC2B 4RR
Friday 20 May 2022 12:00 - 13:00
CANCELLED
Read more...
Julius Vainora (University of Cambridge)
ONLINE
Friday 25 March 2022 12:00 - 13:00
Flexible Covariate Adjustments in Regression Discontinuity Designs
Empirical regression discontinuity (RD) studies often use covariates to increase the precision of their estimates. In this paper, we propose a novel class of estimators that use such covariate information more efficientl...Read more...
Claudia Noack (University of Oxford)
ONLINE
Friday 18 February 2022 12:00 - 13:00
Matching for causal effects via multimarginal optimal transport
Please register to attend: https://lse.zoom.us/j/81404118660...Read more...
Florian Gunsilius (University of Michigan)
ONLINE