5 citations · 5 across the 6 of their papers we have counts for
7 papers
OrthoGen: A Generative Orthogonal Learner for Time-Varying Treatments
Tomàs Garriga, Valentyn Melnychuk, Konstantin Hess +4
Estimating conditional distributional potential outcomes (CDPOs) over time is important in medicine (e.g., to estimate patient-specific risks under different treatment sequences).…
Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
Tomàs Garriga, Alejandro Almodóvar, Axel Brando +3
Individualized treatment selection with continuous actions requires accurate causal response estimation in decision-relevant regions, rather than uniformly over the entire action s…
Estimating the tail index of Pareto-type distributions from geometric records
Martín Alcalde, Raúl Gouet, Miguel Lafuente +2
In this paper, we develop a novel inferential approach based on geometric records for estimating the tail index of heavy-tailed distributions. We construct a maximum likelihood est…
Stochastic ordering, attractiveness and couplings in non-conservative particle systems
Raúl Gouet, F. Javier López, Gerardo Sanz
We analyse the stochastic comparison of interacting particle systems allowing for multiple arrivals, departures and non-conservative jumps of individuals between sites. That is, if…
Estimating hazard rates from -records in discrete distributions
Martín Alcalde, Miguel Lafuente, F. Javier López +2
This paper focuses on nonparametric statistical inference of the hazard rate function of discrete distributions based on -record data. We derive the explicit expression of the m…
Characterisation of distributions via record-like observations
Raúl Gouet, Miguel Lafuente, F. Javier López +1
We characterise probability distributions via a martingale property associated with a natural generalisation of record values, known as -records. For an independent and identica…
Exact and asymptotic properties of -records in the linear drift model
Raúl Gouet, Miguel Lafuente, F. Javier López +1
The study of records in the Linear Drift Model (LDM) has attracted much attention recently due to applications in several fields. In the present paper we study -records in the L…