12 citations · 15 across the 3 of their papers we have counts for
3 papers
math.ST2017
Finite-sample risk bounds for maximum likelihood estimation with arbitrary penalties
W. D. Brinda, Jason M. Klusowski
The MDL two-part coding provides a finite-sample upper bound on the statistical risk of penalized likelihood estimators over countable models. H…
stat.ML2017★ 3 cited
Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization
Jason M. Klusowski, Dana Yang, W. D. Brinda
We give convergence guarantees for estimating the coefficients of a symmetric mixture of two linear regressions by expectation maximization (EM). In particular, we show that the em…
stat.ML2016★ 12 cited
Statistical Guarantees for Estimating the Centers of a Two-component Gaussian Mixture by EM
Jason M. Klusowski, W. D. Brinda
Recently, a general method for analyzing the statistical accuracy of the EM algorithm has been developed and applied to some simple latent variable models [Balakrishnan et al. 2016…