421 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB63 papers
- Systemic Risk CentreGB48 papers
- University of OxfordGB20 papers
- University of WarwickGB18 papers
- King's College LondonGB16 papers
- London Mathematical LaboratoryGB12 papers
- University of Illinois Urbana-ChampaignUS12 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Queen Mary University of LondonGB11 papers
- The Open UniversityGB11 papers
- City, University of LondonGB10 papers
- ETH ZurichCH10 papers
48 papers · 1 filter
Estimating the Blood Supply Elasticity: Evidence from a Universal Scale Benefit Scheme
Sara R. Machado
I estimate the semi-elasticity of blood donations with respect to a monetary benefit, namely the waiver of user fees when using the National Health Service, in Portugal. Using with…
Semi-Parametric Estimation of Incubation and Generation Times by Means of Laguerre Polynomials
Alexander Kreiss, Ingrid Van Keilegom
In epidemics many interesting quantities, like the reproduction number, depend on the incubation period (time from infection to symptom onset) and/or the generation time (time unti…
Revenue Maximization and Learning in Products Ranking
Ningyuan Chen, Anran Li, Shuoguang Yang
We consider the revenue maximization problem for an online retailer who plans to display in order a set of products differing in their prices and qualities. Consumers have attentio…
How Intellectual Communities Progress
Lewis Ross
Recent work takes both philosophical and scientific progress to consist in acquiring factive epistemic states such as knowledge. However, much of this work leaves unclear what enti…
Shortcomings of Counterfactual Fairness and a Proposed Modification
Fabian Beigang
In this paper, I argue that counterfactual fairness does not constitute a necessary condition for an algorithm to be fair, and subsequently suggest how the constraint can be modifi…
An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?
Tamara Broderick, Ryan Giordano, Rachael Meager
Study samples often differ from the target populations of inference and policy decisions in non-random ways. Researchers typically believe that such departures from random sampling…
Two-sample testing of high-dimensional linear regression coefficients via complementary sketching
Fengnan Gao, Tengyao Wang
We introduce a new method for two-sample testing of high-dimensional linear regression coefficients without assuming that those coefficients are individually estimable. The procedu…
Triangles in randomly perturbed graphs
Julia Böttcher, Olaf Parczyk, Amedeo Sgueglia +1
We study the problem of finding pairwise vertex-disjoint triangles in the randomly perturbed graph model, which is the union of any -vertex graph satisfying a given minimum…
The Impact Of Noise And Topology On Opinion Dynamics In Social Networks
Samuel Stern, Giacomo Livan
We investigate the impact of noise and topology on opinion diversity in social networks. We do so by extending well-established models of opinion dynamics to a stochastic setting w…
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
Hengrui Cai, Chengchun Shi, Rui Song +1
We consider off-policy evaluation (OPE) in continuous treatment settings, such as personalized dose-finding. In OPE, one aims to estimate the mean outcome under a new treatment dec…
International Trade Finance from the Origins to the Present: Market Structures, Regulation and Governance
Olivier Accominotti, Stefano Ugolini
This chapter presents a history of international trade finance - the oldest domain of international finance - from its emergence in the Middle Ages up to today. We describe how the…
Unfolding-Model-Based Visualization: Theory, Method and Applications
Yunxiao Chen, Zhiliang Ying, Haoran Zhang
Multidimensional unfolding methods are widely used for visualizing item response data. Such methods project respondents and items simultaneously onto a low-dimensional Euclidian sp…
Macroeconomic forecasting through news, emotions and narrative
Sonja Tilly, Markus Ebner, Giacomo Livan
This study proposes a new method of incorporating emotions from newspaper articles into macroeconomic forecasts, attempting to forecast industrial production and consumer prices le…
The cost of coordination can exceed the benefit of collaboration in performing complex tasks
Vince J. Straub, Milena Tsvetkova, Taha Yasseri
Humans and other intelligent agents often rely on collective decision making based on an intuition that groups outperform individuals. However, at present, we lack a complete theor…
Detecting anomalous citation groups in journal networks
Sadamori Kojaku, Giacomo Livan, Naoki Masuda
The ever-increasing competitiveness in the academic publishing market incentivizes journal editors to pursue higher impact factors. This translates into journals becoming more sele…
Upstreamness and downstreamness in input-output analysis from local and aggregate information
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Ranking sectors and countries within global value chains is of paramount importance to estimate risks and forecast growth in large economies. However, this task is often non-trivia…
Ranking influential nodes in networks from partial information
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of "influence". While the complete and accurate knowledge of the interactions…
Admissible anytime-valid sequential inference must rely on nonnegative martingales
Aaditya Ramdas, Johannes Ruf, Martin Larsson +1
Confidence sequences, anytime p-values (called p-processes in this paper), and e-processes all enable sequential inference for composite and nonparametric classes of distributions…
Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression
Xiuqin Xu, Ying Chen, Yannig Goude +1
Probabilistic forecasting of electricity load curves is of fundamental importance for effective scheduling and decision making in the increasingly volatile and competitive energy m…
Towards a Sustainable Agricultural Credit Guarantee Scheme
Reason Lesego Machete
Since 1986, Government of Botswana has been running an Agricultural Credit Guarantee Scheme for dry-land arable farming. The scheme purports to assist dry-land crop farmers who hav…
An autocovariance-based learning framework for high-dimensional functional time series
Jinyuan Chang, Cheng Chen, Xinghao Qiao +1
Many scientific and economic applications involve the statistical learning of high-dimensional functional time series, where the number of functional variables is comparable to, or…
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
Siliang Zhang, Yunxiao Chen
Latent variable models have been playing a central role in psychometrics and related fields. In many modern applications, the inference based on latent variable models involves one…
A Note on Likelihood Ratio Tests for Models with Latent Variables
Yunxiao Chen, Irini Moustaki, Haoran Zhang
The likelihood ratio test (LRT) is widely used for comparing the relative fit of nested latent variable models. Following Wilks' theorem, the LRT is conducted by comparing the LRT…
Time-energy uncertainty does not create particles
Bryan W. Roberts, Jeremy Butterfield
In this contribution in honour of Paul Busch, we criticise the claims of many expositions that the time-energy uncertainty principle allows both a violation of energy conservation,…