activity
20132026
most citedRate-optimal Bayesian intensity smoothing for inhomogeneous Poisson processes

5 citations · 7 across the 7 of their papers we have counts for

collaborators

10 papers

stat.ME2026

Return-to-Baseline Testing via Empirically Calibrated e-processes

Marta Regis, Paulo Serra

We consider the problem of detecting a Return to Baseline (RtB) in high-frequency monitoring data preceding and following an intervention, where the aim is to identify the time at…

math.ST2022

Robust oracle estimation and uncertainty quantification for possibly sparse quantiles

Eduard Belitser, Paulo Serra, Alexandra Vegelien

A general many quantiles + noise model is studied in the robust formulation (allowing non-normal, non-independent observations), where the identifiability requirement for the noise…

math.OC2022★ 1 cited

Road traffic estimation and distribution-based route selection

Rens Kamphuis, Michel Mandjes, Paulo Serra

In route selection problems, the driver's personal preferences will determine whether she prefers a route with a travel time that has a relatively low mean and high variance over o…

stat.ME2020

Random autoregressive models: A structured overview

Marta Regis, Paulo Serra, Edwin R. van den Heuvel

Models characterized by autoregressive structure and random coefficients are powerful tools for the analysis of high-frequency, high-dimensional and volatile time series. The avail…

stat.ME2018★ 1 cited

Adaptive Non-parametric Estimation of Mean and Autocovariance in Regression with Dependent Errors

Tatyana Krivobokova, Paulo Serra, Francisco Rosales +1

Gaussian processes that can be decomposed into a smooth mean function and a stationary autocorrelated noise process are considered and a fully automatic nonparametric method to sim…

stat.ML2017

Dimension Estimation Using Random Connection Models

Paulo Serra, Michel Mandjes

Information about intrinsic dimension is crucial to perform dimensionality reduction, compress information, design efficient algorithms, and do statistical adaptation. In this pape…