Statistics

In this paper, we compute the small and large x asymptotics of the special function solutions of the Painlevé-III equation in the complex plane. We use the representation [...]

Prosody, the musical facet of speech, is pivotal in human communication, and its structure and meaning remain subjects of ongoing research. In this study, we introduce a [...]

The physical organization of the genome in three-dimensional space regulates many biological processes, including gene expression and cell differentiation. Three-dimensio [...]

At its core, this dissertation aims to formalize and explain—through a statistical lens—the empirical success of popular ensemble-based algorithms in the data assimilatio [...]

This zip file contains the data and analysis results represented in the preprint.
The analysis folder includes the files for preprocessing, the files for analysis [...]

Background: Differential expression analysis is pivotal in single-cell transcriptomics for unraveling cell-type–specific responses to stimuli. While numerous methods a [...]

We propose an algorithm that combines the inchworm method and the frozen Gaussian approximation to simulate the Caldeira-Leggett model in which a quantum particle is coup [...]

Racial and other demographic imputation is necessary for many applications, especially in auditing disparities and outreach targeting in political campaigns. The canonica [...]

The stability of ecological systems has been a long-standing focus of ecology. Recently, tools from random matrix theory have identified the main drivers of stability in [...]

The application of punitive damages in intellectual property cases in China has encountered notable deficiencies within the judicial context. These deficiencies, includin [...]

Geophysicists examine and document the repercussions for the earth’s climate induced by alternative emission scenarios and model specifications. Using simplified approxim [...]

Understanding the genetic regulatory mechanisms of gene expression is an ongoing challenge. Genetic variants that are associated with expression levels are readily identi [...]

Joint modeling of multiple closely related quantitative traits with genetic variants is widely applied in genetics to increase power for detecting associations. Linear mi [...]

We obtain the multi-point positive integer Lyapunov exponents of the Stochastic Heat Equation (SHE) and provide three expressions for them. We prove the result by matchin [...]

We consider the Stochastic Heat Equation (SHE) in (1+1) dimensions with delta Dirac initial data and spacetime white noise. We prove exact large-time asymptotics for mult [...]

This repository contains the data used to generate the results in the paper "Compression theory for inhomogeneous systems".

Concerns about food security under climate change motivate efforts to better understand future changes in crop yields. Process-based crop models, which represent plant ph [...]

The physics of complex systems stands to greatly benefit from the qualitative changes in data availability and advances in data-driven computational methods. Many of thes [...]

Neyman’s seminal work in 1923 has been a milestone in statistics over the century, which has motivated many fundamental statistical concepts and methodology. In this revi [...]

Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop [...]

We introduce a novel family of Gaussian Processes (GPs) kernels, derived from the limit of graph neural networks (GNNs) when their layers become infinitely wide. We start [...]

Data, unlike some wines, do not improve with age. The contrary view, that data are immortal, a view that may underlie the often-observed tendency to recycle old examples [...]

No abstract

The impacts of heat waves in a warming climate depend not only on changing temperatures but also on changing humidity. Using 35 simulations from the Community Earth Syste [...]

A core problem in systems and circuits neuroscience is deciphering the origin of shared dynamics in neuronal activity: Do they emerge through local network interactions, [...]