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This paper investigates decision-making in A/B experiments for online platforms and marketplaces. In such settings, due to constraints on inventory, A/B experiments typically lead to biased estimators because of *interference* between…

Methodology · Statistics 2025-08-26 Ramesh Johari , Hannah Li , Anushka Murthy , Gabriel Y. Weintraub

The ubiquity of Large Language Models (LLMs) is driving a paradigm shift where user convenience supersedes computational efficiency. This article defines the "Plausibility Trap": a phenomenon where individuals with access to Artificial…

Artificial Intelligence · Computer Science 2026-01-22 Ivan Carrera , Daniel Maldonado-Ruiz

The experimental information on b --> s l^+ l^- decays has grown enormously during the last couple of years due to BaBar, Belle, CDF and LHCb. Especially, exclusive modes B --> K^(*) l^+ l^-, which have the largest rate and are easily…

High Energy Physics - Phenomenology · Physics 2012-08-16 Christoph Bobeth

Data based judgments go into artificial intelligence applications but they undergo paradoxical reversal when seemingly unnecessary additional data is provided. Examples of this are Simpson's reversal and the disjunction effect where the…

Artificial Intelligence · Computer Science 2017-09-14 Subhash Kak

This paper is devoted to testing for the explosive bubble under time-varying non-stationary volatility. Because the limiting distribution of the seminal Phillips et al. (2011) test depends on the variance function and usually requires a…

Econometrics · Economics 2021-11-16 Eiji Kurozumi , Anton Skrobotov , Alexey Tsarev

When fitting a particular Economic model on a sample of data, the model may turn out to be heavily misspecified for some observations. This can happen because of unmodelled idiosyncratic events, such as an abrupt but short-lived change in…

Econometrics · Economics 2023-12-12 Jean-Jacques Forneron

The effect of high-amplitude harmonic surging on airfoil laminar separation bubbles was investigated theoretically, and experimentally in a dedicated surging-flow wind tunnel. A generalized pressure coefficient was developed that accounts…

Fluid Dynamics · Physics 2022-07-26 David Greenblatt , Hanns Müller-Vahl , Christoph Strangfeld

Quantum gravity has been baffling the theoretical physicist for decades now: both for its mathematical obscurity and phenomenological testing. Nevertheless, the new era of precision cosmology presents a promising avenue to test the effects…

General Relativity and Quantum Cosmology · Physics 2024-11-14 Gaurav Bhandari , S. D. Pathak , Manabendra Sharma , Anzhong Wang

Image deblurring has advanced rapidly with deep learning, yet most methods exhibit poor generalization beyond their training datasets, with performance dropping significantly in real-world scenarios. Our analysis shows this limitation stems…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Yuanting Gao , Shuo Cao , Xiaohui Li , Yuandong Pu , Yihao Liu , Kai Zhang

The emergence of a special type of fluid-like behavior at large scales in one-dimensional (1d) quantum integrable systems, theoretically predicted in 2016, is established experimentally, by monitoring the time evolution of the in situ…

Quantum Gases · Physics 2019-03-07 Max Schemmer , Isabelle Bouchoule , Benjamin Doyon , Jerome Dubail

We study whether a first-order phase transition at the end of inflation can generate the observed dark matter abundance through bubble collisions. The transition occurs in a spectator scalar sector with an inflaton-dependent effective…

High Energy Physics - Phenomenology · Physics 2026-05-06 Zihong Cheng , Fa Peng Huang

Online marketplace designers frequently run A/B tests to measure the impact of proposed product changes. However, given that marketplaces are inherently connected, total average treatment effect estimates obtained through Bernoulli…

Methodology · Statistics 2020-04-28 David Holtz , Ruben Lobel , Inessa Liskovich , Sinan Aral

We summarize recent work on the consistent calculation of bubble-nucleation rates. Our approach is based on the notion of a real coarse-grained potential. The bubble-nucleation rate is calculated through an expansion around the…

High Energy Physics - Phenomenology · Physics 2007-05-23 N. Tetradis

Episodes of market crashes have fascinated economists for centuries. Although many academics, practitioners and policy makers have studied questions related to collapsing asset price bubbles, there is little consensus yet about their causes…

Risk Management · Quantitative Finance 2008-12-15 T. Kaizoji , D. Sornette

In a companion paper we have reported a $>5\sigma$ detection of degree scale $B $-mode polarization at 150 GHz by the BICEP2 experiment. Here we provide a detailed study of potential instrumental systematic contamination to that…

We propose constructing confidence sets for the emergence, collapse, and recovery dates of a bubble separately by inverting tests for the location of the break date. We examine both likelihood ratio-type tests and the Elliott-Muller-type…

Econometrics · Economics 2026-04-21 Eiji Kurozumi , Anton Skrobotov

The shuffle model of local differential privacy is an advanced method of privacy amplification designed to enhance privacy protection with high utility. It achieves this by randomly shuffling sensitive data, making linking individual data…

Cryptography and Security · Computer Science 2024-03-04 E Chen , Yang Cao , Yifei Ge

The transient process accompanied by extreme acceleration in the conical sections of hydraulic systems (e.g., draft tube, diffuser) can induce large cavitation bubbles both at the closed ends and in the bulk liquid. The collapses of the…

Fluid Dynamics · Physics 2022-08-24 Zhichao Wang , Shuhong Liu , Bo Li , Zhigang Zuo , Zhao Pan

We examine a type of features in the primordial scalar power spectrum, namely, the bump-like feature(s) that arise as a result of burst(s) of particle production during inflation. The latest CMB observations by Planck 2018 can accommodate…

Cosmology and Nongalactic Astrophysics · Physics 2023-06-07 Suvedha Suresh Naik , Pravabati Chingangbam , Kazuyuki Furuuchi

Extreme-value fluctuations at quantum critical points remain poorly understood in the presence of strong correlations and openness. At the integer quantum Hall transition in the open Chalker--Coddington network, we show that the maximal…

Disordered Systems and Neural Networks · Physics 2026-03-17 Wei-Han Li , Abbas Ali Saberi
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