activity
20102026
most citedNonparametric Dark Energy Reconstruction from Supernova Data

225 citations · 484 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2026

exdqlm: An R Package for Estimation and Analysis of Flexible Dynamic Quantile Linear Models

Antonio De Leon, Raquel Barata, Raquel Prado +1

We present the R package exdqlm for Bayesian quantile regression, with primary emphasis on dynamic state-space quantile models for time series. The package is built around extended…

stat.ME2024

Mixture Modeling for Temporal Point Processes with Memory

Xiaotian Zheng, Athanasios Kottas, Bruno Sansó

We propose a constructive approach to building temporal point processes that incorporate dependence on their history. The dependence is modeled through the conditional density of t…

stat.ME2018★ 1 cited

Large Multi-scale Spatial Kriging Using Tree Shrinkage Priors

Rajarshi Guhaniyogi, Bruno Sanso

We develop a multiscale spatial kernel convolution technique with higher order functions to capture fine scale local features and lower order terms to capture large scale features.…

astro-ph.CO2011★ 104 cited

Nonparametric Reconstruction of the Dark Energy Equation of State from Diverse Data Sets

Tracy Holsclaw, Ujjaini Alam, Bruno Sanso +4

The cause of the accelerated expansion of the Universe poses one of the most fundamental questions in physics today. In the absence of a compelling theory to explain the observatio…

astro-ph.CO2010★ 225 cited

Nonparametric Dark Energy Reconstruction from Supernova Data

Tracy Holsclaw, Ujjaini Alam, Bruno Sanso +4

Understanding the origin of the accelerated expansion of the Universe poses one of the greatest challenges in physics today. Lacking a compelling fundamental theory to test, observ…

astro-ph.CO2010★ 154 cited

Nonparametric Reconstruction of the Dark Energy Equation of State

Tracy Holsclaw, Ujjaini Alam, Bruno Sanso +4

A basic aim of ongoing and upcoming cosmological surveys is to unravel the mystery of dark energy. In the absence of a compelling theory to test, a natural approach is to better ch…