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math.ST2021★ 2 cited
Markov Equivalence of Max-Linear Bayesian Networks
Carlos Améndola, Ben Hollering, Seth Sullivant +1
Max-linear Bayesian networks have emerged as highly applicable models for causal inference via extreme value data. However, conditional independence (CI) for max-linear Bayesian ne…
math.ST2017
Local asymptotic properties for Cox-Ingersoll-Ross process with discrete observations
Mohamed Ben Alaya, Ahmed Kebaier, Ngoc Khue Tran
In this paper, we consider a one-dimensional Cox-Ingersoll-Ross (CIR) process whose drift coefficient depends on unknown parameters. Considering the process discretely observed at…