Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Inference of Diffusion Networks with Unknown Infection Times   The analysis of diffusion processes in real-world propagation scenarios often
involves estimating variables that are not directly observed. These hidden
variables include parental relationships, the strengths of connections between
nodes, and the moments of time that infection occurs. In this paper, we propose
a framework in which all three sets of parameters are assumed to be hidden and
we develop a Bayesian approach to infer them. After justifying the model
assumptions, we evaluate the performance efficiency of our proposed approach
through numerical simulations on synthetic datasets and real-world diffusion
processes.

17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
2
The categories of this paper are: math
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an