activity
20222026
most citedQuantile regression for longitudinal functional data with application to feed intake of lactating sows

2 citations · 4 across the 10 of their papers we have counts for

collaborators

12 papers

math.PR2026

Least-Variable Harmonic Matrix-Exponential Distributions

Maria Laura Battagliola, Oscar Peralta

Concentrated matrix-exponential (CME) distributions are random clocks approximating a fixed time, with quality measured by the squared coefficient of variation (SCV); a well-known…

math.PR2026

Least Variability in a Polynomial-Square Class of Rational Kernels

Maria Laura Battagliola, Oscar Peralta

We solve an extremal problem for positive randomization kernels that concentrate a random time as tightly as possible around a deterministic target, within the class obtained by ex…

math.PR2026

Colored Markov-Modulated Brownian Motion for Preemptive Workload Stacks

Maria Laura Battagliola, Eduardo Medina-Valdés, Oscar Peralta

We develop a colored Markov-modulated Brownian motion model for diffusion-scale systems in which newly created work preempts the active layer, occupies the top of an ordered stack,…

stat.ME2026

Local Second-Order Geometry Induced by Deformation Maps

Maria Laura Battagliola

Spatial deformations offer a flexible route to nonstationary dependence by warping the coordinates of a stationary random field. While the exact induced covariance depends on the d…

math.PR2026

Optimization-Free Concentrated Matrix-Exponentials

Maria Laura Battagliola, Oscar Peralta

Near-deterministic positive delays require highly concentrated distributions, but phase-type models are constrained by the Erlang variance limit. While matrix-exponential distribut…

stat.AP2025

Functional Modeling of Learning and Memory Dynamics in Cognitive Disorders

Maria Laura Battagliola, Laura J. Benoit, Sarah Canetta +2

Deficits in working memory, which includes both the ability to learn and to retain information short-term, are a hallmark of many cognitive disorders. Our study analyzes data from…