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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.PR2021
Density estimates for jump diffusion processes
Arturo Kohatsu-Higa, Eulalia Nualart, Ngoc Khue Tran
We consider a real-valued diffusion process with a linear jump term driven by a Poisson point process and we assume that the jump amplitudes have a centered density with finite mom…