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19992026
most citedSparsistency and rates of convergence in large covariance matrix estimation

421 citations

Showing 2023Show all

19 papers · 1 filter

econ.GN2023★ 39 cited

Bubble Economics

Tomohiro Hirano, Alexis Akira Toda

This article provides a self-contained overview of the theory of rational asset price bubbles. We cover topics from basic definitions, properties, and classical results to frontier…

cs.CY2023★ 5 cited

Individual and gender inequality in computer science: A career study of cohorts from 1970 to 2000

Haiko Lietz, Mohsen Jadidi, Daniel Kostic +2

Inequality prevails in science. Individual inequality means that most perish quickly and only a few are successful, while gender inequality implies that there are differences in ac…

math.CO2023★ 1 cited

On product Schur triples in the integers

Letícia Mattos, Domenico Mergoni Cecchelli, Olaf Parczyk

Schur's theorem states that in any -colouring of the set of integers there is a monochromatic solution to , provided is sufficiently large. Abbott and Wang stud…

q-fin.PR2023

Machine-learning regression methods for American-style path-dependent contracts

Matteo Gambara, Giulia Livieri, Andrea Pallavicini

Evaluating financial products with early-termination clauses, in particular those with path-dependent structures, is challenging. This paper focuses on Asian options, look-back opt…

stat.ME2023★ 4 cited

Pairwise likelihood estimation and limited information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling

Haziq Jamil, Irini Moustaki, Chris Skinner

This paper discusses estimation and limited information goodness-of-fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights.…

stat.ME2023★ 1 cited

When Composite Likelihood Meets Stochastic Approximation

Giuseppe Alfonzetti, Ruggero Bellio, Yunxiao Chen +1

A composite likelihood is an inference function derived by multiplying a set of likelihood components. This approach provides a flexible framework for drawing inference when the li…

q-fin.CP2023★ 3 cited

Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering

Qinmeng Luan, James Hamp

Recent work has proposed Wasserstein k-means (Wk-means) clustering as a powerful method to classify regimes in time series data, and one-dimensional asset returns in particular. In…

physics.geo-ph2023★ 3 cited

The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example

Francisco de Melo Viríssimo, David A. Stainforth, Jochen Bröcker

Complex Earth System Models are widely utilised to make conditional statements about the future climate under some assumptions about changes in future atmospheric greenhouse gas co…

quant-ph2023★ 6 cited

Relational Quantum Mechanics and Contextuality

Calum J. Robson

This paper discusses the question of Stable Facts in Relational Quantum Mechanics. I examine how the approach to quantum logic in the consistent histories formalism can be used to…

math-ph2023★ 1 cited

Self-Dual Maxwell Fields from Clifford Analysis

Calum Robson

The study of complex functions is based around the study of holomorphic functions, satisfying the Cauchy-Riemann equations. The relatively recent field of Clifford Analysis lets us…

math.PR2023★ 2 cited

Contagious McKean--Vlasov problems with common noise: from smooth to singular feedback through hitting times

Ben Hambly, Aldaïr Petronilia, Christoph Reisinger +2

We consider a family of McKean--Vlasov equations arising as the large particle limit of a system of interacting particles on the positive half-line with common noise and feedback.…

stat.ME2023★ 4 cited

A Note on Ising Network Analysis with Missing Data

Siliang Zhang, Yunxiao Chen

The Ising model has become a popular psychometric model for analyzing item response data. The statistical inference of the Ising model is typically carried out via a pseudo-likelih…

math.DS2023

Unimodal maps perturbed by heteroscedastic noise: an application to a financial systems

F. Lillo, G. Livieri, S. Marmi +2

We investigate and prove the mathematical properties of a general class of one-dimensional unimodal smooth maps perturbed with a heteroscedastic noise. Specifically, we investigate…

math.FA2023

Upper bounds for Grothendieck constants, quantum correlation matrices and CCP functions

Frank Oertel

Within the framework of the search for the still unknown exact value of the real and complex Grothendieck constant in the famous Grothendieck inequality (unsolved…

stat.ME2023★ 10 cited

DIF Analysis with Unknown Groups and Anchor Items

Gabriel Wallin, Yunxiao Chen, Irini Moustaki

Ensuring fairness in instruments like survey questionnaires or educational tests is crucial. One way to address this is by a Differential Item Functioning (DIF) analysis, which exa…

physics.soc-ph2023★ 1 cited

Understanding the householder solar panel consumer: A Markovian model and its societal implications

Marta Leocata, Giulia Livieri, Silvia Morlacchi +3

Household adoption of rooftop photovoltaic (PV) systems is central to the green energy transition, yet diffusion depends on social influence and behavioral biases, as well as payba…

stat.ME2023★ 27 cited

A two-step estimator for multilevel latent class analysis with covariates

Roberto Di Mari, Zsuzsa Bakk, Jennifer Oser +1

We propose a two-step estimator for multilevel latent class analysis (LCA) with covariates. The measurement model for observed items is estimated in its first step, and in the seco…

cs.HC2023★ 25 cited

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK

Karim Assi, Lakmal Meegahapola, William Droz +19

Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activiti…

q-fin.GN2023★ 58 cited

FTX's downfall and Binance's consolidation: The fragility of centralised digital finance

David Vidal-Tomás, Antonio Briola, Tomaso Aste

This paper investigates the causes of the FTX digital currency exchange's failure in November 2022. We identify the collapse of the Terra-Luna ecosystem as the pivotal event that t…