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math.PR2018
Identifiability of parametric random matrix models
Tomohiro Hayase
We investigate parameter identifiability of spectral distributions of random matrices. In particular, we treat compound Wishart type and signal-plus-noise type. We show that each m…
stat.ML2018★ 1 cited
Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents
Tomohiro Hayase
For random matrix models, the parameter estimation based on the traditional likelihood functions is not straightforward in particular when we have only one sample matrix. We introd…